Governance Risk Compliance GRC

In ERP, GRC stands for Governance, Risk, and Compliance.



1. Governance refers to the frameworks, processes, and systems that ensure an organization operates effectively, ethically, and aligns with its goals and regulations.

2. Risk involves identifying, analyzing, and managing potential risks that could impact the organization, such as financial, operational, or cybersecurity risks.

3. Compliance focuses on adhering to laws, regulations, policies, and standards relevant to the industry and jurisdiction.


In ERP systems, GRC modules help automate and streamline these processes to reduce risk, ensure compliance, and maintain organizational accountability.


From Blogger iPhone client

Bamboo trees comparison

Here’s a comparison chart summarizing the key attributes of these top bamboo species, focusing on annual production, strength, common industrial uses, main countries of production, and demand/supply trends:


Bamboo Species Annual Production Strength Primary Industrial Uses Producing Countries Demand & Supply Trends

Moso Bamboo (Phyllostachys edulis) High (fast growth) Very Strong, high tensile Construction, flooring, textiles China, Japan High demand for sustainable materials

Guadua Bamboo (Guadua angustifolia) Moderate Very Strong, earthquake-resistant Building, furniture, bridges Colombia, Ecuador Growing demand in eco-friendly construction

Giant Timber Bamboo (Bambusa oldhamii) Moderate to High Strong, thick-walled Construction, fencing, furniture Taiwan, China, US Steady demand in landscaping, decor

Black Bamboo (Phyllostachys nigra) Low to Moderate Strong, flexible Ornamental, crafts, furniture China, Japan, US High demand for ornamental use

Japanese Timber Bamboo (Phyllostachys bambusoides) Moderate Very Strong Tools, crafts, traditional buildings Japan, Korea, China Consistent demand in crafts and construction

Blue Bamboo (Bambusa chungii) Low Strong Furniture, decorative use China, Southeast Asia Steady demand for ornamental, aesthetic purposes

Dragon Bamboo (Dendrocalamus giganteus) Moderate Very Strong, durable Construction, scaffolding, furniture India, Thailand, Southeast Asia Growing demand in construction, especially in Asia

Chinese Timber Bamboo (Phyllostachys vivax) High Strong, resilient Landscaping, structural uses China, US Increasing demand for landscaping

David Bisset Bamboo (Bambusa multiplex) Moderate Strong, dense growth Landscaping, erosion control China, US High demand in erosion control, landscaping

Yellow Groove Bamboo (Phyllostachys aureosulcata) Moderate Strong, flexible Windbreaks, privacy screens, light construction China, Europe, US Stable demand for windbreak and privacy applications


Key Insights



• Annual Production varies by species, with Moso Bamboo being one of the highest-yielding due to its rapid growth, especially in China.

• Strength: Guadua and Moso are among the strongest and most durable, particularly valued in the construction industry.

• Industry Applications: Bamboo use ranges widely from structural applications in construction to decorative use in landscaping and crafting.

• Demand and Supply: Global demand is rising due to bamboo’s sustainable qualities, with particular interest in eco-friendly construction materials, privacy screening, and ornamental uses. China and Southeast Asian countries remain major producers due to ideal growing conditions.


This comparison provides a snapshot of each bamboo type’s benefits and limitations across industries and geographies. Let me know if you need a more detailed breakdown for any particular attribute!


From Blogger iPhone client

Big query information schema

In BigQuery, INFORMATION_SCHEMA views provide metadata about datasets, tables, columns, and other database objects within a project. These views are useful for querying system-related information, such as table sizes, schema details, jobs, and user privileges.


Here are the main types of INFORMATION_SCHEMA in BigQuery:


1. Dataset-Level INFORMATION_SCHEMA Views


These views provide information about all the objects within a specific dataset.



• INFORMATION_SCHEMA.TABLES: Contains metadata about all tables and views in a dataset.

• Example: Get the size and creation time of tables.

• Columns include table_name, table_type, creation_time, size_bytes.

• INFORMATION_SCHEMA.COLUMNS: Contains metadata about columns in the tables and views within a dataset.

• Example: List column names and data types.

• Columns include table_name, column_name, data_type, is_nullable.

• INFORMATION_SCHEMA.ROUTINES: Provides details about user-defined functions (UDFs) and stored procedures.

• Example: Get the definition of stored routines.

• Columns include routine_name, routine_type, routine_body.

• INFORMATION_SCHEMA.PARTITIONS: Shows information about table partitions.

• Example: List the partitions of a partitioned table.

• Columns include table_name, partition_id, partition_creation_time.

• INFORMATION_SCHEMA.JOBS: Provides information about all jobs (queries, loads, etc.) run within a dataset.

• Example: View recent query jobs and their statuses.

• Columns include job_id, user_email, job_type, creation_time, state.

• INFORMATION_SCHEMA.TABLE_OPTIONS: Lists the table options such as expiration times for each table in a dataset.

• Example: Check if tables have expiration times set.

• Columns include table_name, option_name, option_value.


2. Project-Level INFORMATION_SCHEMA Views


These views provide metadata across the entire project.



• INFORMATION_SCHEMA.SCHEMATA: Lists all datasets in a project.

• Example: Get all dataset names in a project.

• Columns include schema_name (dataset name), location.

• INFORMATION_SCHEMA.JOBS_BY_PROJECT: Provides details on all jobs across the entire project.

• Example: Track the status of jobs like queries, loads, and exports.

• Columns include job_id, user_email, job_type, creation_time, state.

• INFORMATION_SCHEMA.JOBS_TIMELINE_BY_PROJECT: Offers a more detailed timeline of job execution across the project.

• Example: Analyze when jobs start, run, and complete.

• Columns include job_id, job_duration, bytes_processed.


3. Region-Specific INFORMATION_SCHEMA Views


These views are similar to project-level views but are scoped to a specific region within a project. They are useful for analyzing jobs or datasets based on their geographic location.



• INFORMATION_SCHEMA.JOBS_BY_REGION: Lists all jobs in a project for a specific region.

• Example: Monitor job activity for a specific region.

• Columns include job_id, location, job_type, state.

• INFORMATION_SCHEMA.JOBS_TIMELINE_BY_REGION: Shows detailed job timelines within a specific region.

• Example: Analyze the performance and duration of jobs region-wise.

• Columns include job_id, job_duration, bytes_processed.


4. Reservation INFORMATION_SCHEMA Views


These views provide information about slots and reservations, useful for managing BigQuery slots and resource reservations.



• INFORMATION_SCHEMA.RESERVATIONS: Lists information about all slot reservations in a project.

• Example: List all reservations and their usage.

• Columns include reservation_name, slot_count.

• INFORMATION_SCHEMA.ASSIGNMENTS: Shows assignments of reservations to projects.

• Example: Find out how slot reservations are assigned to different projects.

• Columns include project_id, reservation_name.


5. Other Special Information Schema Views


These views provide metadata about specialized objects like policies or capacity commitments.



• INFORMATION_SCHEMA.POLICY_TAGS: Lists policy tags (for data governance and classification) for tables in a dataset.

• Example: List all policy tags attached to columns for data classification.

• Columns include policy_tag, column_name, table_name.

• INFORMATION_SCHEMA.CAPACITY_COMMITMENTS: Provides details about capacity commitments for slots in a project.

• Example: Check the slot capacity commitments for a project.

• Columns include commitment_id, slot_count, plan.


Usage of INFORMATION_SCHEMA Views



• Query Dataset Metadata: Use INFORMATION_SCHEMA.TABLES or INFORMATION_SCHEMA.COLUMNS to get information about the structure of datasets and tables.

• Track Jobs: Use INFORMATION_SCHEMA.JOBS to


From Blogger iPhone client

Customer acquisition strategies

There are various strategies businesses can use to acquire customers, each suited to different types of markets, products, and customer segments. Here’s a breakdown of key customer acquisition strategies:


1. Content Marketing



• Overview: Creating valuable content (blogs, videos, infographics, guides) to attract, engage, and educate potential customers.

• How it works: By addressing pain points or providing useful information, content can organically attract customers via search engines or social shares.

• Examples:

• Writing SEO-optimized blog posts.

• Creating tutorial videos or podcasts.


2. Search Engine Optimization (SEO)



• Overview: Optimizing your website and content to rank higher in search engine results pages (SERPs).

• How it works: Targeting specific keywords related to your business ensures that potential customers find your site when searching for relevant terms.

• Examples:

• Improving on-page SEO by using target keywords.

• Earning backlinks from authoritative sites to improve domain authority.


3. Paid Advertising (PPC)



• Overview: Using paid channels like Google Ads, Facebook Ads, or LinkedIn Ads to reach specific audiences.

• How it works: You pay for clicks or impressions on your ads, targeting relevant customer segments with tailored messaging.

• Examples:

• Google Search Ads targeting users with intent to buy.

• Facebook Ads targeting specific demographics or interests.


4. Social Media Marketing



• Overview: Using social platforms like Facebook, Instagram, LinkedIn, and Twitter to engage with potential customers and build brand awareness.

• How it works: Businesses create organic posts or run paid ads to drive engagement, followers, or direct conversions.

• Examples:

• Engaging with customers through comments, shares, and messages.

• Running targeted ads based on user interests or demographics.


5. Referral Marketing



• Overview: Encouraging existing customers to refer new customers through incentives or rewards.

• How it works: Customers recommend your product/service to others, typically in exchange for a discount, credit, or bonus.

• Examples:

• Dropbox’s referral program that rewards both the referrer and the referred with extra storage.

• Word-of-mouth campaigns.


6. Email Marketing



• Overview: Acquiring potential customers’ contact information (often through opt-ins or lead magnets) and nurturing them via email campaigns.

• How it works: Send targeted, personalized emails to build relationships and guide leads through the sales funnel.

• Examples:

• Welcome email series for new subscribers.

• Regular newsletters, offers, and promotions.


7. Influencer Marketing



• Overview: Partnering with influencers (people with a significant social following) to promote your products or services.

• How it works: Influencers endorse or review your product, giving your brand access to their audience.

• Examples:

• Sponsored posts by Instagram influencers.

• YouTube product reviews or unboxings by content creators.


8. Partnerships and Alliances



• Overview: Forming strategic partnerships with complementary businesses to cross-promote or bundle services.

• How it works: Both businesses leverage each other’s customer base, providing mutual benefits.

• Examples:

• Software integration partnerships (e.g., Zoom partnering with Slack).

• Joint promotions between non-competing companies.


9. Affiliate Marketing



• Overview: Rewarding affiliates (partners, bloggers, influencers) for referring customers to your business.

• How it works: Affiliates promote your product using custom links, and they earn a commission for each customer they refer who converts.

• Examples:

• Amazon’s affiliate program where bloggers promote products for a commission.

• Niche influencers driving traffic to a company’s site via affiliate links.


10. Webinars and Virtual Events



• Overview: Hosting online events or webinars to engage potential customers.

• How it works: You provide valuable content or training, often using it as a lead-generation tool by capturing attendee contact information.

• Examples:

• SaaS companies hosting product demos or Q&A webinars.

• Educational webinars in exchange for email signups.


11. Customer Loyalty Programs



• Overview: Encouraging repeat purchases by rewarding existing customers with points, discounts, or exclusive access.

• How it works: Providing incentives for repeat customers helps boost retention and can also drive word-of-mouth referrals.

• Examples:

• Starbucks Rewards Program that offers free drinks after accumulating points.

• Subscription businesses offering exclusive content or deals for loyal customers.


12. Freemium Models and Free Trials



• Overview: Offering a free tier or limited-time free trial to encourage users to experience the product before committing.

• How it works: Users are more likely to convert to paying customers once they’ve had a positive experience using the free or trial version.

• Examples:

• SaaS platforms offering a 30-day free trial.

• Freemium apps like Spotify that upsell premium features.


13. Public Relations (PR)



• Overview: Gaining media attention and coverage for your


From Blogger iPhone client

Stakeholder management matrix

A Stakeholder Mapping Matrix is a tool used to categorize stakeholders based on their interest in and influence over a project. It helps prioritize efforts in communication, engagement, and relationship-building during a project like an ERP migration.


Stakeholder Mapping Matrix: Key Components


The matrix divides stakeholders into four quadrants based on:



1. Interest: The level of concern or involvement a stakeholder has in the project.

2. Influence (Power): The stakeholder’s ability to affect the project’s outcomes.


Template for a Stakeholder Mapping Matrix:


High Influence Low Influence

High Interest Low Interest

Manage Closely Keep Satisfied

These stakeholders are key These stakeholders have

players in the project. significant influence but

Actively engage them, keep less direct interest. Keep

them informed and involved them informed and meet their

in decision-making. needs without overburdening.

Examples: Executives, Sponsors Examples: Regulatory bodies,

External stakeholders

—————————–– —————————––

Keep Informed Monitor (Minimal Effort)

Stakeholders who have a lot These stakeholders have low

of interest but less direct influence and interest. Keep

influence. Provide regular them informed with minimal

updates and ensure they feel communication.

valued. Examples: Minor project teams,

Examples: End-users, Analysts Broader organization


Quadrant Definitions:



1. Manage Closely (High Influence, High Interest):

• These stakeholders are critical to the project’s success. They have a high degree of involvement and can impact decisions significantly. Regular communication, active engagement, and ensuring their concerns are addressed is crucial.

2. Keep Satisfied (High Influence, Low Interest):

• These stakeholders have significant influence but are less directly involved. They need to be kept in the loop and satisfied but do not need to be overburdened with details.

3. Keep Informed (Low Influence, High Interest):

• Stakeholders who care about the project but have little power to influence its outcome. Keeping them regularly updated, ensuring they feel included, and making sure their needs are addressed is essential.

4. Monitor (Minimal Effort) (Low Influence, Low Interest):

• Stakeholders with minimal influence and interest. These individuals can be monitored with occasional updates, but they don’t require heavy engagement.


Steps to Create a Stakeholder Mapping Matrix:



1. Identify Stakeholders:

• List out all individuals or groups impacted by or interested in the migration (e.g., executives, end-users, IT teams, vendors, etc.).

2. Assess Influence and Interest:

• Rate each stakeholder’s level of influence and interest in the ERP migration project on a scale (e.g., high, medium, low).

3. Map Stakeholders:

• Place stakeholders in the appropriate quadrant based on their influence and interest.

4. Create an Engagement Strategy:

• Develop tailored communication and engagement strategies for each stakeholder group based on where they fall in the matrix.


Example: Stakeholders During ERP Migration:



1. Manage Closely:

• Project Sponsors, IT Leadership, Department Heads

• High influence and high interest as they directly impact and oversee the migration.

2. Keep Satisfied:

• External Vendors, Regulatory Authorities

• High influence but may not be involved daily, so need to be kept informed of key decisions.

3. Keep Informed:

• End-Users, Business Analysts

• High interest in how the migration will affect them but have limited power in decision-making.

4. Monitor (Minimal Effort):

• Minor Teams, Broader Organizational Staff

• Minimal impact on the project but can be kept updated with less detailed communication.


Using a stakeholder mapping matrix ensures that you allocate time and resources efficiently, focusing on the stakeholders who need the most attention, while still keeping others informed and satisfied.


From Blogger iPhone client

Gantt Chart in Tableau

Sales Pitch: Using Gantt Charts in Tableau for Project Management Success


In today’s fast-paced business world, managing projects efficiently and staying on top of deadlines is crucial. A Gantt chart is one of the best tools for tracking project timelines and task progress — and Tableau takes this visualization to the next level.


Here’s why Gantt charts in Tableau are the game-changer your team needs:


1. Visualize Your Project Timeline with Clarity


With Tableau, a Gantt chart instantly provides a clear view of your project’s timeline, breaking down individual tasks, their durations, and dependencies. It gives you a snapshot of where each task stands — what’s on track, what’s delayed, and what’s coming next — all in one visual.


It’s like a real-time, visual roadmap for your project, ensuring no detail is overlooked.


2. Interactive and Dynamic Visualization


Unlike static Gantt charts, Tableau’s interactive charts allow you to:



• Zoom into task details, explore timelines, or drill down into specific subtasks or milestones.

• Use filters to customize the view by department, team, or priority.

• Adjust your project plan in real time as changes happen, empowering better decision-making with the most up-to-date information.


3. Comprehensive Data Integration


Tableau allows you to blend multiple data sources, meaning you can combine project management data from tools like Excel, databases, or online project management systems into a single, actionable Gantt chart. This means your chart isn’t just about dates — you can track:



• Resource allocation

• Costs and budget

• Task completion percentages


4. Enhance Team Collaboration


With Tableau’s easy sharing capabilities, Gantt charts can be shared securely across teams or departments. Keep everyone — from project managers to stakeholders — on the same page with a real-time, data-driven view of your project. Everyone can view the latest updates and make more informed decisions, fostering smoother collaboration and accountability.


5. Customization and Branding


In Tableau, your Gantt chart can be fully customized to reflect your company’s branding and project needs. Whether you want to incorporate corporate colors or logos (like in our Qatar Airways-themed example), or focus on specific KPIs, you have full control over the design and data presentation.


6. Easily Track and Manage Dependencies


One of the most powerful features of a Gantt chart is the ability to visualize task dependencies. Tableau’s Gantt chart makes it easier to manage critical paths, so you can focus on the tasks that could delay the project. Early visibility into potential bottlenecks helps ensure timely interventions, keeping projects on track and within scope.


7. Increase Efficiency and Reduce Risks


By monitoring progress with Gantt charts, you can identify risks early and reallocate resources or adjust schedules to avoid project delays. This proactive project management leads to improved efficiency, fewer last-minute surprises, and a smoother overall execution.


In Summary:


A Gantt chart in Tableau is not just a static timeline — it’s an interactive, real-time project management tool. It provides clarity, insight, and flexibility, ensuring your projects stay on track, on budget, and on time. By integrating multiple data sources, customizing views, and fostering team collaboration, Tableau’s Gantt charts empower your organization to manage projects more effectively.


Make your next project a success — with Gantt charts in Tableau.


By leveraging the power of Tableau’s visualizations, your project management process will move from reactive to proactive, giving you the competitive edge.


From Blogger iPhone client

Data management mdm tool

Profisee is a comprehensive Master Data Management (MDM) platform designed to help organizations manage, cleanse, and govern their critical data assets. It is used to ensure that data across systems is accurate, consistent, and available for use in decision-making processes. Profisee is known for its ease of use, scalability, and flexibility, making it suitable for organizations of various sizes and industries.


Key Features of Profisee Data Management Tool


1. Master Data Management (MDM)


Profisee allows businesses to consolidate, cleanse, and govern master data across different systems, ensuring consistent and accurate information across the enterprise. It provides a single source of truth for key business entities such as customers, products, employees, and vendors.



• Multi-domain support: Profisee supports multiple data domains, such as customer, product, vendor, and location data.

• Data governance: It offers tools for setting data governance policies, workflows, and user permissions to ensure data integrity.

• Data modeling: Flexible data modeling capabilities allow businesses to tailor the platform to specific master data needs.


2. Data Integration


Profisee integrates with various data sources and applications, enabling seamless data exchange across systems. The platform can pull in data from ERP systems, CRM systems, and other databases to create a unified view of your master data.



• API connectivity: Integrates easily with popular enterprise systems like Microsoft Dynamics, Salesforce, SAP, Oracle, and others.

• Batch and real-time integration: Data can be integrated and synchronized in real-time or batch processing, depending on business needs.


3. Data Cleansing and Standardization


Profisee includes robust data cleansing and validation tools to ensure that the master data is accurate and standardized across all systems.



• Data validation rules: Built-in rules can automatically detect and correct incomplete, duplicate, or invalid data.

• De-duplication: Profisee helps to identify and merge duplicate records, improving the accuracy of master data.


4. Data Stewardship and Workflow Management


Profisee provides workflow tools to enable data stewardship, ensuring that data quality is actively monitored and managed throughout its lifecycle.



• Workflow automation: The platform automates workflows for data approval, updates, and corrections to streamline data management processes.

• User roles and permissions: Data stewards and other users can be assigned roles and permissions to enforce governance and control over data changes.


5. Golden Record Management


Profisee’s MDM capabilities focus on creating a “golden record” – a single, accurate, and complete version of the truth – from multiple data sources. This helps eliminate duplicates and conflicting data across systems.



• Survivorship rules: Allows users to define rules for determining which data from multiple records should be included in the final golden record.

• Cross-system matching: It enables fuzzy matching and record linking to combine data from different systems into a single, unified record.


6. Hierarchy Management


The platform enables businesses to model, manage, and maintain hierarchical relationships within their data, such as parent-child relationships, product families, and organizational structures.



• Visual hierarchy management: Allows users to visualize and manage hierarchical relationships between different entities and records.


7. Scalability and Cloud Support


Profisee is designed to scale, making it suitable for both small and large organizations. It is available in both on-premises and cloud-based deployments, allowing businesses to choose the deployment model that best fits their needs.



• Cloud-native: Offers cloud support, making it easier to deploy and scale the platform in modern cloud environments like Microsoft Azure.

• Elastic scalability: Capable of handling large volumes of data, making it ideal for enterprises dealing with complex master data scenarios.


8. Analytics and Reporting


Profisee comes with built-in analytics and reporting features to track data quality, workflow performance, and governance adherence.



• Dashboard and reporting tools: Users can create dashboards and generate reports to gain insights into data quality, duplication, and stewardship activities.

• Data insights: Enables businesses to gain actionable insights into how their master data is being used across the organization.


Use Cases of Profisee



• Customer Data Management: Unifies and cleanses customer data across multiple sources, ensuring consistent customer records in CRM systems.

• Product Data Management: Ensures accurate product information across sales, supply chain, and manufacturing systems.

• Vendor and Supplier Data: Helps to manage and cleanse vendor data to improve procurement processes and vendor relationships.

• Location Data Management: Standardizes location data for logistics, shipping, and regional analysis.


Why Choose Profisee?



• Affordability: Profisee markets itself as a more cost-effective MDM solution, particularly when compared to larger, more complex MDM platforms.

• Ease of Use: It is designed to be user-friendly and to require less IT intervention than some other MDM systems, allowing business users and data stewards to manage data more directly.

• Speed of Deployment: Profisee’s platform allows faster deployment compared to other MDM solutions, enabling businesses to realize value more quickly.


Integration and Compatibility


Profisee is highly compatible with Microsoft technologies, making it a popular choice for businesses already using Microsoft Azure or Dynamics 365. It also integrates with other enterprise systems, including SAP, Oracle, Salesforce, and custom databases, offering flexibility for various tech ecosystems.


In summary, Profisee provides an all-encompassing platform for master data management with a focus on improving data accuracy, governance, and accessibility. Its scalability and flexibility make it suitable for enterprises looking for a robust MDM solution that can grow with their business.


From Blogger iPhone client

2026 big events

The next FIFA World Cup will take place in 2026, and it will be hosted jointly by three countries: the United States, Canada, and Mexico. This will be the first time that the tournament is held across three nations. The tournament is scheduled to take place from June to July 2026.


Key details about the 2026 World Cup:



• Expanded Format: For the first time, the World Cup will feature 48 teams, an increase from the previous 32-team format.

• Venues: Matches will be played across 16 cities, with 11 cities in the United States, 3 in Mexico, and 2 in Canada.

• U.S. cities include Los Angeles, New York, Dallas, and Miami, among others.

• Mexican cities include Mexico City, Guadalajara, and Monterrey.

• Canadian cities include Toronto and Vancouver.


The tournament will follow a new format where teams will be divided into 12 groups of 4 teams, and the top teams from each group, along with the best third-placed teams, will advance to the knockout stages. This change increases the total number of matches in the tournament.






From Blogger iPhone client



Here’s a list of major global events happening in the coming years, spanning sports, technology, entertainment, and more:


1. Sports Events



• 2024 Summer Olympics

• Date: July 26 – August 11, 2024

• Location: Paris, France

• The 2024 Olympics will return to Paris for the first time since 1924, featuring traditional and new sports, including breakdancing for the first time.

• 2026 FIFA World Cup

• Date: June – July 2026

• Location: USA, Canada, Mexico

• The 2026 FIFA World Cup will be the first to feature 48 teams and will take place across three countries.

• 2024 Tour de France

• Date: June 29 – July 21, 2024

• Location: Starting in Florence, Italy, and ending in Nice, France (instead of Paris due to the Olympics).

• 2025 Rugby World Cup

• Date: September – October 2025

• Location: England, Ireland, Scotland, Wales

• The women’s Rugby World Cup will be hosted by England.

• 2026 Winter Olympics

• Date: February 6 – February 22, 2026

• Location: Milan-Cortina, Italy

• This event will bring the Winter Games to Italy with a focus on skiing, ice hockey, and other winter sports.


2. Technology & Innovation Events



• GITEX Global 2024

• Date: October 2024

• Location: Dubai, UAE

• GITEX is one of the largest tech expos in the world, featuring innovations in AI, robotics, cybersecurity, blockchain, and more. It draws global tech leaders and startups alike.

• Mobile World Congress (MWC) 2024

• Date: February 26 – March 1, 2024

• Location: Barcelona, Spain

• The MWC is the largest event in the mobile industry, focusing on 5G, IoT, AI, and emerging technologies.

• CES 2025 (Consumer Electronics Show)

• Date: January 6 – January 9, 2025

• Location: Las Vegas, USA

• CES is one of the largest tech trade shows, showcasing the latest in consumer electronics, AI, autonomous vehicles, smart homes, and more.


3. Entertainment Events



• Cannes Film Festival 2024

• Date: May 14 – May 25, 2024

• Location: Cannes, France

• This prestigious film festival will bring together the world’s top filmmakers and actors to showcase new films and compete for awards.

• Eurovision Song Contest 2024

• Date: May 2024

• Location: Malmö, Sweden

• One of the most popular music competitions in the world, Eurovision will return to Sweden in 2024 following their victory in 2023.

• 2024 Grammy Awards

• Date: February 4, 2024

• Location: Los Angeles, USA

• The music industry’s biggest night will honor the top musical artists across various genres.


4. Political & Environmental Events



• UN Climate Change Conference (COP29)

• Date: November 2024

• Location: To be confirmed

• The annual global summit on climate change will focus on international cooperation to combat climate change and meet sustainability targets.

• 2024 U.S. Presidential Election

• Date: November 5, 2024

• Location: United States

• The U.S. presidential election will be one of the most important political events in 2024, with global ramifications.


5. Miscellaneous Major Events



• Expo 2025 Osaka

• Date: April 13 – October 13, 2025

• Location: Osaka, Japan

• The World Expo 2025 in Osaka will showcase innovations and advancements in global sustainability, technology, and cultural exchanges.

• 2025 Solar Eclipse

• Date: August 12, 2025

• Location: North America

• A total solar eclipse will pass over parts of North America, providing a rare celestial event for observers across the continent.


6. Key Music Tours



• Taylor Swift’s “The Eras Tour” (Europe)

• Date: May – August 2024

• Location: Various European cities

• Taylor Swift continues her record-breaking tour with dates across Europe in 2024.

• Coldplay’s “Music of the Spheres World Tour”

• Date: June – July 2024

• Location: European cities

• Coldplay continues their global tour with dates across Europe, focusing on sustainability and environmental initiatives during their performances.

• Beyoncé’s Renaissance World Tour (Potential)

• Rumored for 2024

• Following her massive tour in 2023, there are rumors that Beyoncé could extend her tour into 2024.


These events will draw global attention, and they are diverse enough to cater to different interests, from sports to technology, politics, and entertainment.


Migration strategy from Oracle EBS to Oracle Fusion

Here’s a sales pitch tailored for the adoption and migration from Oracle E-Business Suite (EBS) to Oracle Fusion ERP based on the scenario described in the image:


Unlocking the Future of Business Operations with Oracle Fusion ERP


Introduction:

As QR Group embarks on a decade-long partnership with Oracle, you are now poised to leverage the transformative potential of Oracle Fusion ERP. This transition from Oracle E-Business Suite to Oracle Fusion isn’t just about upgrading software—it’s about revolutionizing the way QR Group manages its critical business functions, ensuring that finance, HR, procurement, and retail operations are optimized for the next 20 years.


The Need for Migration:

Oracle EBS has served QR Group well, but as digital transformation accelerates and business complexities grow, we need a more agile, integrated, and future-proof solution. Oracle Fusion ERP offers this, with enhanced cloud capabilities, advanced data analytics, and streamlined processes designed for global businesses.


Why Oracle Fusion ERP?



1. Unified Cloud Platform: With Oracle Fusion, all core business functions—finance, HR, procurement, and retail—are integrated into a single, secure cloud platform. This ensures that your data is always synchronized, accessible, and actionable across the organization.

2. Enhanced Data Management: Your primary goal is 100% clean, reliable, and relevant data movement. Oracle Fusion’s embedded AI-driven tools ensure data quality, reduce redundancies, and streamline processes to give you real-time insights for better decision-making.

3. Future-Ready Scalability: Oracle Fusion ERP is designed to evolve with your business. It allows for seamless scalability and adaptability, so as QR Group grows, the ERP solution grows with it—supporting innovation, mergers, and market expansions.

4. Cost Efficiency & ROI: Migrating to the cloud brings significant cost benefits, reducing infrastructure expenses while delivering higher productivity and operational efficiency.


Project Approach:


1. Assessment & Planning:

We will conduct a thorough analysis of QR Group’s current data and business processes across finance, HR, procurement, and retail. This helps in mapping existing workflows and data models to Oracle Fusion’s modules, ensuring minimal disruption.


2. Data Migration Strategy:

Ensuring 100% data cleanliness is key. We’ll create a phased migration plan:



• Clean and standardize existing data sets.

• Ensure seamless migration of historical data from Oracle EBS to Oracle Fusion ERP.

• Implement data validation processes to maintain the integrity and quality of data at every step.


3. Integration and Customization:

Oracle Fusion ERP is built to integrate with various third-party systems. We will assess any specific QR systems or tools that require integration to create a customized, cohesive ecosystem.


4. Change Management & Training:

Change management is crucial. We will work closely with stakeholders across all business units to ensure a smooth transition. Comprehensive training programs will be rolled out to ensure that QR Group employees are well-versed in using the new system, reducing learning curves and enhancing adoption rates.


5. Ongoing Support and Optimization:

Our work doesn’t end at deployment. We will offer ongoing support to continuously optimize processes and leverage new Oracle Fusion features as they are released. Additionally, periodic reviews will ensure that the system evolves with your business needs.


Key Resources & Support:



• Dedicated Migration Team: A specialized team with expertise in both Oracle EBS and Oracle Fusion ERP will be assigned to this project, ensuring a seamless transition.

• Cloud Infrastructure Support: Oracle’s cloud experts will collaborate to ensure security, uptime, and compliance throughout the migration process.

• AI and Data Quality Tools: Advanced AI tools will be implemented to ensure ongoing data integrity, accuracy, and relevance.


Conclusion:

With Oracle Fusion ERP, QR Group will gain the agility, scalability, and intelligence needed to thrive in a rapidly evolving marketplace. This migration will not only secure a solid operational foundation for the next 20 years but also unlock new opportunities for growth, innovation, and efficiency across all business units.


Let’s partner together to lead QR Group into its next chapter of operational excellence.


This pitch presents the migration as a strategic step for future-proofing QR Group, emphasizing the benefits and the structured approach required for success.




From Blogger iPhone client


additional information


Certainly! Here’s a more detailed and granular breakdown of the project approach, execution, and support requests for QR Group’s transition from Oracle E-Business Suite (EBS) to Oracle Fusion ERP.


1. Project Overview and Objectives


The primary goal is to manage the data migration and ensure a seamless transition to the new Oracle Fusion ERP system across finance, HR, procurement, and retail operations. This involves ensuring:



• 100% clean, reliable, and relevant data is moved.

• Implementation of a modernized ERP solution that can support the company for the next 20 years.

• Smooth adoption with minimal disruptions to ongoing business operations.

• A sustainable system that grows with QR Group’s evolving needs.


2. Detailed Approach


A. Discovery and Assessment Phase



• Current State Analysis:

Conduct an exhaustive audit of the existing Oracle EBS system and associated business processes across finance, HR, procurement, and retail. This involves:

• Mapping current workflows, data structures, and system customizations.

• Identifying integrations with third-party applications (e.g., payment systems, employee management tools, and supply chain management).

• Assessing current data quality: redundant, outdated, or inconsistent data records.

• Gap Analysis:

Analyze gaps between current EBS functionalities and the enhanced features offered by Oracle Fusion ERP. This will help prioritize necessary customizations and define a strategy for new implementations or changes.

• Stakeholder Engagement:

Engage with business unit leaders and IT teams to gather insights on pain points and specific requirements. This ensures the project addresses both technical and operational needs.


B. Data Migration Strategy



• Data Cleaning and Preparation:

The quality of data is key to the success of the migration. We’ll undertake a data cleansing exercise, including:

• Data normalization: Ensuring consistency in formats and definitions.

• Duplicate elimination: Removing redundant records.

• Archiving old data: Deciding what historical data is critical for migration and archiving non-essential data.

• Data Mapping:

Mapping data from the Oracle EBS schema to the Oracle Fusion ERP schema. This ensures that every field, record, and data entity from EBS finds its rightful place in the Fusion environment.

• Test Data Migration:

Conduct pilot or test migrations with subsets of data to validate the accuracy, integrity, and completeness of the migrated data.


C. System Configuration and Customization



• Configuration of Oracle Fusion ERP Modules:

Configure the necessary Oracle Fusion modules (e.g., finance, HR, procurement, and retail). This includes setting up company structures, legal entities, cost centers, business processes, and policies specific to QR Group’s operational requirements.

• Customization & Extension (if needed):

Oracle Fusion ERP’s flexibility allows for tailored solutions to accommodate any unique business processes or needs not fully covered by out-of-the-box functionality. This could involve:

• Custom workflows or approvals.

• Reporting enhancements and dashboards.

• API development for system integrations.

• Data Security and Compliance:

Work with the IT security team to ensure compliance with regulatory requirements (e.g., GDPR) and implement role-based access controls to safeguard sensitive data across business units.


D. Testing & Validation



• User Acceptance Testing (UAT):

Conduct thorough UAT cycles involving key business unit users. This ensures:

• Data integrity checks post-migration.

• Validation of customizations and integrations.

• Confirmation of accurate reporting across finance, HR, and procurement departments.

• Performance Testing:

Test the system under simulated load conditions to assess performance during peak times, ensuring the new system can handle QR Group’s transaction volumes.


E. Change Management and Training



• Change Management:

Migration to Oracle Fusion ERP is a significant transformation. A robust change management plan ensures that employees at all levels are prepared and fully equipped to use the new system. This will involve:

• Clear communication about the reasons for the change, benefits, and timelines.

• Addressing concerns and feedback during the transition.

• Training Programs:

Develop comprehensive, role-based training programs:

• Customized training for end-users in each department (finance, HR, procurement, and retail).

• Training for IT teams on system administration and maintenance.

• Workshops and hands-on sessions on using new functionalities and workflows in Oracle Fusion.


F. Go-Live and Hypercare Support



• Go-Live Plan:

The transition to Oracle Fusion will be carried out in stages to minimize disruption:

• Pre-Go-Live: Pre-live system checks, final data migration tasks, and final user validation.

• Go-Live: Switch over from Oracle EBS to Oracle Fusion, with careful monitoring to ensure a smooth transition.

• Hypercare Support:

Post-go-live support (for 2-4 months) will involve:

• Dedicated on-site and remote support teams to resolve any issues promptly.

• Continued performance monitoring, fine-tuning, and ensuring system stability.

• Rapid response to user queries, especially during the initial weeks of use.


3. Key Execution Milestones


Phase Key Activities Timeline

Phase 1: Discovery Current system audit, stakeholder engagement 2-3 weeks

Phase 2: Data Prep Data cleaning, mapping, and test migrations 3-4 weeks

Phase 3: Configuration Oracle Fusion ERP setup and configuration 5-6 weeks

Phase 4: Customization Custom workflows, integrations, API setups 4-5 weeks

Phase 5: UAT & Testing User testing, performance testing 3-4 weeks

Phase 6: Go-Live System launch and hypercare support 2-3 weeks


4. Support and Resources Needed



• 1. Project Team:

• Data Engineers and Analysts: To focus on data cleansing, migration, and validation efforts.

• Oracle Fusion Experts: Experienced consultants to configure Oracle Fusion modules and implement any required customizations.

• Integration Specialists: To manage integrations between Oracle Fusion ERP and other systems within QR Group’s tech stack.

• Change Management Consultants: To lead communication efforts and guide the workforce through the transition process.

• 2. IT Infrastructure and Cloud Support:

• Oracle Cloud infrastructure specialists to ensure smooth deployment of the new ERP and handle any cloud-specific optimizations.

• Network and security engineers to handle any infrastructure changes related to the migration and ensure data security.

• 3. Training and Change Management Support:

• HR and department heads to collaborate in developing training materials and planning effective training rollouts.

• Ongoing support from the Oracle team for troubleshooting during the hypercare period.

• 4. Budget and Timeline Considerations:

• Ensure approval for necessary investments in resources, both human and technological, to guarantee smooth execution.

• Adequate buffer time should be allocated to account for unforeseen delays during data migration or user acceptance phases.


5. Conclusion


The migration to Oracle Fusion ERP is a critical step in ensuring QR Group’s readiness for future business challenges. By executing a detailed, phased approach with careful attention to data integrity, user training, and system integration, this project can deliver significant value—offering scalability, enhanced efficiency, and improved data-driven decision-making across all business units.


By securing the right resources, focusing on change management, and maintaining clear communication throughout the process, this migration will enable QR Group to unlock new levels of operational excellence for decades to come.




Technology Selection


1. Technology Selection to Minimize Migration Overhead


The choice of supporting technologies is crucial in reducing the overhead associated with migrating from Oracle E-Business Suite (EBS) to Oracle Fusion ERP. The right tools can streamline data migration, enhance automation, and provide seamless integration, while mitigating risks.


Here are some key technologies and approaches to consider:


A. Data Migration Tools


To ensure a smooth and automated data migration process, selecting the right data migration tools is essential. Some Oracle-specific and third-party tools that help in minimizing migration overhead include:



• Oracle Data Integrator (ODI):

Oracle Data Integrator is a powerful tool that can help in automating and streamlining the data migration process from Oracle EBS to Oracle Fusion ERP. It allows data transformations and ensures that data integrity is maintained throughout the process.

• Oracle GoldenGate:

GoldenGate is a real-time data integration and replication tool. It can facilitate the continuous synchronization of data between Oracle EBS and Oracle Fusion, making it possible to minimize downtime during migration by maintaining parallel systems.

• Oracle Cloud Infrastructure (OCI) Data Catalog:

OCI Data Catalog helps with data discovery, governance, and lineage tracking. It ensures that all data being migrated is identified, tagged, and properly organized, reducing the risk of unaccounted-for data or lost records during migration.

• Informatica Cloud Data Integration:

Informatica is a popular third-party tool for large-scale data migrations. It offers pre-built connectors and templates for migrating from Oracle EBS to Oracle Fusion ERP, which can help save time and reduce manual efforts.

• Oracle SOA Suite for Integration:

This suite provides pre-built adapters for both Oracle EBS and Oracle Fusion, simplifying the integration of data, processes, and applications. It enables better coordination of hybrid environments during the migration phase.


B. Middleware and Integration Technologies


Middleware solutions play a vital role in integrating Oracle Fusion ERP with third-party systems and ensuring business continuity:



• Oracle Integration Cloud (OIC):

Oracle Integration Cloud provides a scalable middleware solution that ensures integration between existing on-premise applications (e.g., legacy systems or third-party tools) and Oracle Fusion ERP in the cloud. It allows the reuse of existing EBS integrations, reducing the need for reconfiguring every connection.

• Oracle API Platform Cloud Service:

To further facilitate communication between applications, API management platforms like Oracle API Platform Cloud Service enable easy creation, deployment, and management of APIs between Oracle EBS and Oracle Fusion. This allows for a smooth transition and minimizes disruption to other connected systems.

• Robotic Process Automation (RPA):

Leveraging RPA tools like UiPath or Blue Prism can automate routine data migration tasks, such as data entry and verification. RPA can significantly reduce manual overhead and human errors during migration.


C. Cloud Storage and Backup Solutions


For storing and backing up critical data before, during, and after migration, cloud storage solutions are a key consideration:



• Oracle Cloud Object Storage:

Oracle Cloud’s Object Storage can be used to securely store backups of Oracle EBS data before migration. It provides scalable, high-performance, and cost-efficient cloud storage, ensuring that your data is secure and recoverable at all times.

• Third-Party Backup Solutions (e.g., Veeam or NetApp):

If you require additional storage flexibility, third-party cloud backup solutions can offer a multi-cloud environment, allowing you to backup data both on-premise and in Oracle Cloud.


D. Automation Tools


Automation can help reduce manual labor and minimize the risk of human errors during the migration process:



• Oracle Enterprise Manager:

Oracle Enterprise Manager provides powerful monitoring and automation capabilities. You can use this tool to monitor both Oracle EBS and Oracle Fusion environments, automate routine tasks like patching and updates, and troubleshoot issues in real-time.

• Terraform (for OCI):

Oracle Cloud Infrastructure supports Terraform, a tool that enables infrastructure as code (IaC). This can help automate the provisioning of infrastructure components, which can further reduce migration overhead.


2. Data Governance Controls in the Migration from Oracle ERP to Oracle Fusion ERP


Data governance is critical to ensure that the data being migrated from Oracle EBS to Oracle Fusion ERP remains clean, secure, and compliant with industry regulations and internal standards.


A. Data Governance Framework


A robust data governance framework ensures proper handling of data during migration, covering aspects such as data ownership, integrity, privacy, and compliance. Key elements include:



• Data Ownership and Stewardship:

Each business unit (finance, HR, procurement, retail) must designate data stewards responsible for ensuring that their respective data is accurate and properly migrated. Data stewards will also be involved in approving any transformations or changes during the migration process.

• Data Lineage and Provenance:

Using Oracle Cloud Infrastructure (OCI) Data Catalog or Oracle Enterprise Data Management (EDM), you can track the complete lineage of data. This ensures that every piece of data can be traced back to its source, providing transparency and accountability for all migrated records.

• Data Quality Management:

Implement automated data quality checks before and after migration using tools like Oracle Data Integrator (ODI) or third-party solutions. Key data quality rules include:

• Validation of data consistency (e.g., checking for duplicates or missing fields).

• Ensuring data conforms to the new Oracle Fusion ERP schema.

• Regular audits of migrated data to ensure it meets accuracy and compliance requirements.


B. Data Security Controls


Data security is paramount, especially when migrating sensitive financial, HR, and procurement data. Key controls include:



• Encryption:

All data migrated from Oracle EBS to Oracle Fusion ERP should be encrypted both in transit and at rest. Oracle Advanced Security or Oracle Cloud Infrastructure offers encryption solutions to ensure compliance with data privacy laws (e.g., GDPR).

• Access Control and Role-Based Security:

Use Oracle Identity and Access Management (IAM) to enforce strict role-based access controls (RBAC). This limits access to data during the migration process, ensuring that only authorized personnel can view or modify sensitive information.

• Audit and Monitoring:

Implement logging and monitoring tools such as Oracle Enterprise Manager to capture all user activity, data access, and system interactions during the migration. This provides transparency and can be used to trace any security incidents or unauthorized access.


C. Data Compliance and Regulatory Controls


QR Group may be subject to specific regulatory requirements, depending on its operating regions or industries. Ensuring compliance with these regulations is key during migration.



• GDPR, HIPAA, and Local Regulatory Compliance:

Depending on your geographic footprint, ensure that all data being migrated adheres to applicable regulations. Use Oracle Governance, Risk, and Compliance (GRC) solutions to ensure that the migrated data conforms to regulatory standards such as GDPR (General Data Protection Regulation) or HIPAA (Health Insurance Portability and Accountability Act).

• Data Retention and Archiving Policies:

Establish clear policies regarding which data must be retained, archived, or disposed of. Ensure that the data retention schedules align with regulatory requirements (e.g., financial records retention). Oracle Fusion allows for archiving capabilities, enabling you to store legacy data without cluttering the new system.


D. Metadata and Master Data Management


Ensuring consistent master data management is key to maintaining data integrity across all departments (e.g., customer, vendor, product, and employee data).



• Oracle Enterprise Data Management (EDM):

Oracle EDM enables the creation and governance of master data. During migration, ensure that master data entities such as customers, vendors, employees, and products are accurately migrated and validated to avoid duplication or inconsistency.

• Metadata Management:

Using Oracle’s metadata management tools, ensure that all metadata (data that describes other data) is migrated alongside actual data to ensure proper classification and identification. This helps maintain the context and meaning of the data during and after migration.


E. Continuous Data Governance Post-Migration


Data governance doesn’t stop after the migration is complete. Implement ongoing governance policies and tools to maintain data integrity and compliance in the Oracle Fusion ERP environment:



• Automated Monitoring and Alerts:

Use Oracle Fusion ERP’s built-in monitoring tools to continuously check for any anomalies, inconsistencies, or security breaches in the migrated data.

• Regular Audits:

Schedule periodic audits of the data to ensure that data quality standards are consistently met and that all new data follows established governance practices.


3. Conclusion


By selecting the right combination of data migration, integration, and automation tools, QR Group can significantly reduce the overhead associated with the transition to Oracle Fusion ERP. Implementing comprehensive data governance controls during the migration will ensure data accuracy, security, and compliance, setting QR Group up for long-term success in managing their new ERP system.


By leveraging tools like Oracle Data Integrator, Oracle GoldenGate, and Oracle Integration Cloud, alongside strict governance around data lineage, access control, and compliance, QR Group will be well-positioned to achieve a smooth and successful migration.





Comparitive Analysis on Global Air Carriers


> Comparing the Key Performance Indicators (KPIs) across airlines globally is essential for understanding industry benchmarks and trends. The comparison usually involves both legacy/full-service carriers (e.g., Emirates, Delta, Singapore Airlines) and low-cost carriers (LCCs) (e.g., Ryanair, Southwest Airlines). Here’s a detailed look at how these KPIs typically compare across different airlines, segmented by the most relevant operational, financial, customer experience, and other metrics.

# On-Time Performance (OTP)
> Global Average: The global airline industry standard for on-time performance is typically around 80-85%.

## Top Airlines:
  - Delta Air Lines (US): ~86-90%
  - Japan Airlines (Japan): ~88-91%
  - Qatar Airways (Qatar): ~85-87%

## Low-Cost Carriers:
  - Ryanair (Europe): ~92-95% (known for fast turnarounds)
  - Southwest Airlines (US): ~80-82%
  - AirAsia (Asia): ~85-88%
    Legacy carriers often face more complexities due to international routes and airport congestion, which can slightly reduce OTP compared to low-cost carriers.

# Load Factor  
> Global Average: Load factors typically range from 75-85% for full-service carriers and 85-95% for low-cost carriers.

## Top Airlines:
  - Qatar Airways: ~80-83%
  - Emirates: ~78-82%
  - Delta Air Lines: ~85-88%
  
## Low-Cost Carriers:
  - Ryanair: ~95-97%
  - Southwest Airlines: ~85-90%
  - EasyJet: ~88-91%

Low-cost carriers generally have higher load factors due to their pricing strategies and more frequent short-haul flights.

# Revenue per Available Seat Mile (RASM)
> Global Average:
  - Full-service carriers: 10-15 cents per ASM (varies by region and class of service).
  - Low-cost carriers: 7-10 cents per ASM.

## Top Airlines:
  - Singapore Airlines: ~12-14 cents/ASM (due to premium services).
  - Delta Air Lines: ~14-15 cents/ASM.
  - Ryanair: ~7-8 cents/ASM.
  - Southwest Airlines: ~9-10 cents/ASM.

Low-cost carriers tend to have lower RASM due to less revenue per passenger but often make up for it with high volume and ancillary revenue.

# Cost per Available Seat Mile (CASM)
> Global Average: Full-service carriers typically range from 10-15 cents per ASM, while low-cost carriers are in the 5-8 cents range.
## Top Airlines:
  - Qatar Airways: ~12-14 cents/ASM.
  - Delta Air Lines: ~13-15 cents/ASM.
  - Ryanair: ~4-6 cents/ASM.
  - Southwest Airlines: ~8-9 cents/ASM.

Low-cost carriers consistently have lower CASM due to their no-frills service models, fuel efficiency, and high seat density.

# Yield (Revenue per Passenger Kilometer)
> Global Average:

## Full-service carriers: 10-20 US cents per Revenue Passenger Kilometer (RPK).
  - Low-cost carriers: 6-10 US cents per RPK.

## Top Airlines:
  - Singapore Airlines: ~18-20 cents/RPK (due to premium services).
  - Qatar Airways: ~12-14 cents/RPK.
  - Ryanair: ~7-8 cents/RPK.
  - Southwest Airlines: ~9-10 cents/RPK.

Yield is generally higher for full-service airlines due to the inclusion of business and first-class services, while low-cost carriers focus on price-sensitive markets.

# Ancillary Revenue
> Global Average:
  - Full-service carriers: Typically generate 10-15% of total revenue from ancillary services.
  - Low-cost carriers: Can generate 30-40% of their revenue from ancillaries.

## Top Airlines:
  - Ryanair: ~35-40% of total revenue from ancillaries (baggage fees, seat selection, onboard sales).
  - EasyJet: ~20-25%.
  - Emirates: ~10-12%.

Ancillary revenue has become a key profit driver for low-cost carriers, while full-service carriers focus on premium services and loyalty programs.

# Net Promoter Score (NPS)
> Global Average:

  - Full-service airlines typically have an NPS of 30-50.
  - Low-cost airlines range from 10-30.
  - Top Airlines:
  - Qatar Airways: ~50-55.
  - Singapore Airlines: ~55-60.
  - Emirates: ~45-50.
  - Ryanair: ~10-15 (lower due to fewer frills).
  - Southwest Airlines: ~40-45.

Full-service airlines generally score higher on NPS due to their focus on customer service, while low-cost carriers often have lower scores due to the no-frills experience.

# Fuel Efficiency
> Global Average:

  - Full-service carriers: 30-40 liters per 100 revenue passenger kilometers (RPK).
  - Low-cost carriers: 20-30 liters per 100 RPK.
  - Top Airlines:
  - Ryanair: ~25 liters/100 RPK (one of the most fuel-efficient due to newer fleet).
  - Delta Air Lines: ~33-35 liters/100 RPK.
  - Qatar Airways: ~32-34 liters/100 RPK.

Low-cost carriers, with their newer, more fuel-efficient aircraft and higher load factors, often lead in fuel efficiency.

# Employee Productivity (Revenue per Employee)
> Global Average:

  - Full-service carriers: ~$200,000 - $300,000 per employee annually.
  - Low-cost carriers: ~$300,000 - $500,000 per employee annually.
  - Top Airlines:
  - Ryanair: €500,000 ($550,000) per employee.
  - Southwest Airlines: ~$400,000 per employee.
  - Qatar Airways: ~$250,000 per employee.

Low-cost carriers often lead in employee productivity due to streamlined operations, higher flight frequency, and lean staffing models.

# Baggage Mishandling Rate
> Global Average:

  - Industry-wide: 5.57 mishandled bags per 1,000 passengers.
  - Top Airlines:
  - Delta Air Lines: ~1.82 per 1,000 passengers.
  - Qatar Airways: ~2.75 per 1,000 passengers.
  - Ryanair: ~3.5 per 1,000 passengers.
  - Southwest Airlines: ~2.45 per 1,000 passengers.

Full-service airlines, with more complex baggage handling due to international travel and multiple connections, generally report slightly higher mishandling rates compared to low-cost carriers.

# Environmental Efficiency (CO2 Emissions per Passenger Kilometer)
> Global Average:

  - Full-service carriers: 90-120 grams of CO2 per passenger kilometer.
  - Low-cost carriers: 60-90 grams of CO2 per passenger kilometer.
  - Top Airlines:
  - Ryanair: ~67 grams/passenger kilometer (among the lowest in Europe).
  - Delta Air Lines: ~100-110 grams/passenger kilometer.
  - Qatar Airways: ~105-110 grams/passenger kilometer.

Low-cost carriers often lead due to fuel-efficient fleet management and higher load factors, while full-service carriers may have older fleets and longer-haul operations.

# Customer Satisfaction (CSAT)
> Global Average:

  - Full-service carriers: 75-85% customer satisfaction.
  - Low-cost carriers: 60-75%.
  - Top Airlines:
  - Singapore Airlines: ~90%.
  - Qatar Airways: ~85%.
  - Southwest Airlines: ~80%.
  - Ryanair: ~60-65%.

Full-service carriers lead in customer satisfaction due to their focus on premium services, while low-cost carriers rank lower due to their bare-bones, cost-efficient service models.

# Summary of Trends:

  - Full-Service Carriers excel in customer experience, premium revenue, and loyalty but may lag behind in operational costs, fuel efficiency, and ancillary revenue generation.
  - Low-Cost Carriers dominate in cost-efficiency, employee productivity, load factors, and fuel efficiency, but tend to have lower NPS and customer satisfaction scores.

This comparison highlights the trade-offs between business models in the airline industry, with full-service carriers focusing on premium services and customer satisfaction


Seismic Data

  


Objective 
- Define the structure of the land

https://mpcl.com.pk/processing/


https://www.slb.com/products-and-services/delivering-digital-at-scale/software/omni

https://mpcl.com.pk/
# Softwares

- Schlumberger (Mega 2) 

# Geo mapping (Interpretation) 

The waves are synthetically (artificially generated) 

- Explosive
- Vib
- Air gun

Acquisition is done using detector

- Digitized using a unit

 Activity is based on the on demand survey 
 
 - Dimensions are given in 2d 3d
 - Recording is for a time period
 
 Department: Exploration
 
 Survey 
 
 Services
 
 - Drilling 
 - Seismic Activity
    - MSU 
    - Alpha, Beta, Charlie
 
 Real time survey points (RTA) 
 
 Drilling survey 
 
 - Explosive 
 
 Recording 
 - 
 
 Processing 
 
 Acoustic Incident (Density contrast) 
 - Reflection
 - Refraction 
 
 Area of Interest
 - 14 KM to 20 KM
 
 
 Sonic Logging ...*
 
From seismic data, especially in the context of exploration geophysics and subsurface analysis, several key performance indicators (KPIs) can be derived. These KPIs help in understanding the subsurface structures, assessing the quality of seismic surveys, and making decisions about potential resource extraction or other geotechnical applications. Here are some of the most important KPIs that can be calculated from seismic data: 

# Signal-to-Noise Ratio (SNR)

- Definition: Measures the quality of the seismic signal relative to the background noise. 
- Use: High SNR is critical for accurate interpretation of subsurface features. 
- Categorization:
- Classification:

# Seismic Velocity

- Definition: The speed at which seismic waves travel through different layers of rock. 
- Use: Helps in determining the types of rocks and their porosity, which is useful for resource exploration. 

# Amplitude Variations 
- Definition: Variations in the seismic wave amplitudes, often analyzed using Amplitude Versus Offset (AVO) techniques. 
- Use: Can indicate changes in lithology, fluid content, or porosity in subsurface layers. 

# Reflection Coefficient 

- Definition: A measure of how much seismic energy is reflected at an interface between two rock layers. 
- Use: Helps in identifying rock boundaries and the properties of those layers. 

# Frequency Content 

- Definition: Analyzing the frequency spectrum of seismic signals. 
- Use: Lower frequencies penetrate deeper, while higher frequencies provide more detail of shallow structures. This KPI helps balance depth penetration with resolution. 

# Seismic Attribute Analysis 
- Definition: Attributes such as coherence, curvature, and instantaneous frequency are computed from the seismic data. 
- Use: These attributes are used to highlight features such as faults, fractures, or fluid deposits. 

# Travel Time 
- Definition: The time it takes for seismic waves to travel from the source to the receivers. 
- Use: Helps in building time-depth relationships for subsurface imaging. 


# Stacking Velocity 
- Definition: The velocity used in processing stacked seismic data to compensate for the effects of dipping layers. 
- Use: Important for accurate imaging and correcting for distortions in the seismic reflection data. 

# Porosity and Density Estimation 
- Definition: Using seismic inversion techniques, porosity and density can be estimated from the seismic reflection data. 
- Use: Critical for resource exploration, especially for identifying hydrocarbon reservoirs. 

# Seismic Inversion Quality 
- Definition: The accuracy of converting seismic reflection data into subsurface rock properties (e.g., impedance). 
- Use: Determines the reliability of the inversion models used in resource estimation. 

# Seismic Event Picking Accuracy 
- Definition: The precision of identifying reflection events (peaks, troughs) in the seismic data. 
- Use: Accurate picking is essential for detailed seismic interpretation and subsurface mapping. 

# Seismic Data Coverage 
- Definition: The extent to which the seismic survey area has been covered by seismic traces. 
- Use: Ensures adequate coverage of the region of interest, reducing uncertainties in the final interpretation. 

# Residual Moveout (RMO) 
- Definition: The difference between the expected and observed travel times after migration. 
- Use: Used to assess the quality of seismic migration, which corrects for the effects of dipping layers. 

# Fault and Horizon Mapping Accuracy 
- Definition: How well the seismic data can delineate subsurface faults and horizons. 
- Use: Critical for structural interpretation, particularly in tectonically complex areas. 

# Reservoir Characterization KPIs 
- Definition: These KPIs include net pay thickness, fluid contacts, and hydrocarbon saturation derived from seismic data. 
- Use: Important for evaluating the economic potential of oil and gas reservoirs. These KPIs can be computed through specialized software that processes and analyzes seismic data, transforming raw seismic traces into meaningful geological information.