Enabling GCC Data Analytics Teams

1. India hosts a large number of GCCs, and it is expected that over 1000 more will be established in the next five years.
2. There will be a significant global impact from AI/ Gen AI with expectations for GCCs to deliver improved outputs from their India centers.
3. GCCs have begun hiring freshers in India, offering a 20-100% salary premium over the top IT services companies, although some lack robust internal training departments.
4. GCCs will increasingly pressure IT services companies, compelling them to innovate beyond the conventional.
5. IT service companies that have been generating 60-70% of their revenue from body shopping will face challenges in the new AI era, with consolidation expected to begin after Q2 2025.
6. GCCs will capitalize on their local presence by engaging with value-added partners (Indian Startup Ecosystem) across different technology segments. While GCC leadership in India has limited decision-making power, it can significantly influence outcomes. They also have some budgets approved for demonstrating working POCs or MVPs before adopting them as a global strategy.
7. One such value-added company, BDB.ai, as a data analytics platform, has the potential to transform the analytics groups of many of these GCCs.

The technical teams at GCCs need to demonstrate their value to various business teams and secure value-added projects from them, rather than just handling simple tasks that will likely be automated by Gen AI within a couple of years.

There is a simple mathematical rationale behind this transition:

• Moving from an annual expense of $150,000 to $50,000 by offshoring (with similar skills, round-the-clock utilization, and fewer holidays).
• Then further reducing costs to $20,000 per annum with AGI (which is available 24/7).

Businesses may achieve Team Compositions of 30% (Base Location), 30% (Offshoring), and 40% (GenAI) over the next three years. This means that many positions are at risk, OR there will be productivity enhancements of 50-60%, leading to increased competitiveness in every segment of this planet.

Let's confine ourselves to Data and Analytics Practices and see how BDB can help GCCs realize their analytics goals in a phased manner.

Subscribe to a SaaS account with BDB and have your Analytics Workflow completed within six months. The total budget is under $250,000, which will provide a clearer understanding of various business teams and functions. Data Engineers, Data Scientists, and Data Visualization specialists will collaborate to create a customized end-to-end workflow specific to the customer's needs.

Below, you'll find a comprehensive list of use cases spanning across various industries (BDB has extensive Training Content on these workflows):

1. Restaurant Analytics
2. Retail Analytics (Small, Large Store, E-Com)
3. Hospital Analytics
4. Manufacturing Analytics
5. Construction Analytics
6. Life Sciences
7. Education
8. Automobile
9. Telecom
10. Customer 360
11. Digital Marketing
12. Log Analytics
13. Insurance Fraud Analytics
14. FP&A
15. Media
16. Conversational Analytics
17. Oil & Gas
18. Utilities

Testing Environment (QA)- Migrate the POC environment to a local private cloud setup, managed by your own DevOps, Security, and IT teams by installing BDB with your branding. This setup is not only suitable for developing your projects but also for training your Data Engineers and Data Scientists. Utilize content, use cases, workshops, assignments, and capstone projects from the BDB team, as 75% of Data Engineering and 85% of Data Science are common across various platforms like BDB, Databricks, AWS, and Azure. Smart companies should focus on concepts, not just tools. From our experience, individuals with a strong foundation in Data Pipelines using BDB can adapt to Databricks or AWS within two weeks and perform effectively. Practical use cases, combined with data and server access, provide effective training for teams.

Gen AI - We have provided options to connect with any 3rd Party LLMs and provide comprehensive platform support:

• Multiple LLMs (open-source/closed-source),
• Multi-modal LLMs,
• Finetuning LLMs,
• Multiple vector DBs,
• Low latency (less than 5 -10 second response time),
• Improving accuracy from feedback,
• Scalability

We seamlessly provide visualization integration with Automated Reporting for Data Exploration, Data Analysis, and Data Agent (AI Powered Data Management). Details can be seen here - https://bdb.ai/generative-ai Working with BDB on Gen AI use cases can help you explain to your Business Teams on real impact of AI. This solution can then be moved to Production.

Production Deployment- Transfer the newly created content to the production environment. If a GCC is deploying analytics into production with BDB, the process is straightforward. BDB Consulting Services and content from the QA environment can facilitate a quicker transition to production compared to other tools and technologies. Thus, the BDB platform not only enables you to develop use cases more rapidly within your budget but also offers a trained team of Data Engineers and Data Scientists with a comprehensive understanding of the end-to-end workflow.

BDB is already working with some GCCs on the lines written above.

The author brings a wealth of GCC expertise in the Data and Analytics sector. Between 2002 and 2008, he played a pivotal role in the Business Objects (SAP) GCC, which stands as one of the earliest and most successful examples of BOT implementation. Later, from 2016 to 2017, he spearheaded the rapid establishment of the Power School ODC, leveraging their data teams and platform to achieve one of the fastest GCC creations on record.

  Enabling GCC Data Analytics Teams