The Good Tech Companies - Architecting the Data Backbone: Chandra Adapa’s Global MDM Footprint from Teradata to LabCorp

Episode Date: September 9, 2025

This story was originally published on HackerNoon at: https://hackernoon.com/architecting-the-data-backbone-chandra-adapas-global-mdm-footprint-from-teradata-to-labcorp. Chandra Sekhara Reddy Adapa drives global MDM innovation at LabCorp, PepsiCo, Verizon & Intel, unifying data with AI, blockchain, and cloud systems. Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #chandra-sekhara-reddy-adapa, #master-data-management-mdm, #labcorp-patient-data, #ai-ml-in-data-governance, #blockchain-mdm-security, #cloud-based-mdm-strategy, #enterprise-data-architecture, #good-company, and more. This story was written by: @kashvipandey. Learn more about this writer by checking @kashvipandey's about page, and for more stories, please visit hackernoon.com. Chandra Sekhara Reddy Adapa has built next-gen Master Data Management systems for global giants like LabCorp, PepsiCo, Verizon, and Intel. His work unified 400M+ patient records with AI/ML, cut healthcare processing times by 80%, saved $250M at Verizon, and reduced Intel’s supplier onboarding to under an hour. By integrating blockchain, cloud, and AI, he has redefined MDM as secure, decentralized, and business-critical.

This audio is presented by Hacker Noon, where anyone can learn anything about any technology. Architecting the data backbone, Chandra Adapas' global MDM footprint from Teradata to LabCorp by Kushvi Pondi. In the contemporary market, the reliance of organizations on data has grown to keep their businesses running smoothly. In this space where data is prioritized, master data management, MDM, is one process that helps organizations keep their important information accurate, organized, and accessible. Handling critical data like customer or patient information is not easy, especially when it comes from different sources and grows quickly. A data architect has been working towards building these complex data systems for some of the world's biggest organizations, helping them turn

messy data into a valuable asset. Chandra Sakara Ready Adapha has shown that MDM is not a back office IT task, rather a critical component for business success. Discussing his projects, he mentioned how at LabCorp, a major healthcare company, he led the creation of a master data system that was one of the largest patient unification programs in the U.S. healthcare sector that transformed how patient information was handled. We brought together over 400 million patient records into a single, unified system, he said. This cut processing time from almost 19 minutes to just over three, while achieving a 97% match rate by integration MDM system with AI ML. Critical for ensuring patient safety and meeting healthcare compliance standards.

ADAPA also introduced blockchain technology to LabCorp's MDM system. This made data sharing safer and more transparent by preventing unauthorized access and simplifying audits. This improvements helped the organization meet strict regulations and protect patient privacy. Additionally, the professional has worked in industries beyond healthcare. At PepsiCo, he helped move the company's master data systems to the cloud. Thizmigration lowered costs by 30% and delivered nearly four times the return on investment over three years, he noted. It also allowed us to manage data from over 100 business areas worldwide, accelerating the rollout of new tools and helping make faster, better product decisions. mentioning other projects, he shared that at Verizon, he worked on bringing together customer,

vehicle, and device data to give a complete view of the arousers. This project saved the organization $250 million by improving marketing and reducing safety problems. Meanwhile, at Intel, the professional helped reduce the time to onboard suppliers from a week to less than an hour, saving the company millions. Besides his hands on work, he has also shared his knowledge through research papers and articles, including transforming quality management with AI, ML and MDM integration, a LabCorp case study, blockchain-based master data management, a revolutionary approach to data security and integrity, and cloud-based master data management, transforming enterprise data strategy, among others. Through his work, he has helped shape how others think about combining AI, cloud

computing, and blockchain with MDM to improve data quality and security. From ADAPA's experience, it's clear that the future of master data management is leaning toward systems that are both decentralized and trusted. As global concerns around data privacy grow, organizations must find ways to balance security with accessibility. Artificial intelligence is becoming a critical part of this process, helping maintain cleaner, more accurate records by identify injurers and removing duplicates automatically. Cloud-based platforms with flexible, real-time capabilities are increasingly becoming the norm for large enterprises. MDM is no longer just an internal product, it is evolving into a central platform that can feed analytics, machine learning, mobile applications, and even external collaborations.

Effective data management is not only about resolving issues but also about using information to drive efficiency, lower costs, and improve customer experiences. For businesses handling vast amounts of data, a strong and reliable data backbone is no longer optional, it's essential. as ADAPA rightly summarized, I believe NextGen MDM is intelligent, decentralized, secure, real-time, and business aligned. This story was distributed as a release by Kushvi Pondi under Hackernoon's business blogging program. Thank you for listening to this Hackernoon story, read by artificial intelligence. Visit hackernoon.com to read, write, learn and publish.