Dr. Reddy’s, a multinational pharmaceuticals company, operates on the principle of making new medications affordable and accessible to the common person. They deliver on their mission – “Good Health Can’t Wait” – by bringing advanced, low-cost medical solutions to market as quickly and safely as possible to address unmet needs of patients and force reductions in cost.
Unfortunately, inaccurate information due to data fragmentation across applications and departments caused slow response times. This challenge inhibited managers from making good decisions and prevented the company from providing affordable medicines quickly to those in need. The company was waiting too long for the data it needed to meet its mission.
Over time, different departments had independently deployed a variety of applications and data structures, leading to data fragmentation, inconsistent definitions of information, repetitive requests, and rework – all leading to extended delays to reach an accurate answer.
Dr. Reddy’s needed a consistent and accurate 360° view of its business. With a history and culture of empowering the employee base, Dr. Reddy’s also wanted to standardize reporting methods, data tools, and the overall user experience to enable both user self-service and the deployment of new machine learning capabilities.
This pharmaceutical leader needed a unified data architecture to deliver fast, accurate information, enable user self-service, and create a foundation for business improvements leveraging machine learning.