Srinivasan Swaminatha, Managing Director, Data Modernization, TEKsystems Global Services
Palak Shah, Sr. Partner Solutions Architect, Amazon Web Services
Modern data estate powers prescriptive analytics
In today’s world, your data holds all the keys to your success and growth. The greatest differentiator to leapfrog your competition is how well you collect, store, analyze and derive insights from relevant data points pertaining to your business. With seamless access points now available to your first party (your own systems), second party (partners, retailers, distributors etc.) and third-party (geo-spatial, weather, content aggregators etc.), a robust data estate framework is needed to synthesize all these data sets in the fastest feasible way for meaningful insights.
There are AI/ML tools and techniques that can now help you determine the specific action to perform— that’s the power of prescriptive analytics. It is time to put data to work! The beauty of prescriptive analytics is that it continuously learns to adapt to the changing conditions creating a machine-learning loop that can truly augment your decision-making process by providing powerful insights.
This webinar dives deep into three aspects that can assist your company in harnessing data and harvesting results:
Data Estate: All the data that an organization owns
Framework: Scalable structure adopting modern standards
Prescriptive Analytics: Focus on “what should I do?” instead of “What happened?” (reactive)
AWS services and TEKsystems Global Services' execution methodology helps you unlock your data’s potential to the fullest. Serving 80% of Fortune 500 companies through its talent and professional services arm, TEKsystems Global Services carries the DNA of an innovator. We can be your forward-thinking partner to help innovate to market drivers and setup a data platform that drives business value. Further, you do not need elaborate investments to get started. With an emphasis on agile delivery and incremental wins, you can build a momentum shift to your analytics strategy TODAY.