The Power of Analytics: Fast-track Data to Insights

Dirty data is a big problem! Calling your data dirty is another way of saying it is incomplete, improperly structured, or flawed. You may not have the ability to answer simple questions or dig into the root cause of issues in your organization if you have dirty data. You might even make decisions based on inaccurate outputs. Learn the real meaning of dirty data, the consequences it can create and the methods you can use to fix this problem.

Every enterprise is looking to leverage big data analytics to gain deeper insights into its business and to gain an edge over its competition. Building a strong big data analytics foundation is a culmination of careful considerations. But where should one start? Join us for this session to learn the recipe of building a strong big data analytics foundation.

Data teams today need to accelerate analytics time-to-value to keep up with the need for rapid, accurate, insights. The concept of DataOps was born to fundamentally change how teams work. In this session, we’ll talk about how enterprises can leverage the principles of DataOps to maximize their Data & Analytics ROI.

As modern enterprises start to recognize the value that data and analytics can create for their business, many are looking for ways to drive data literacy and place data at the center of all business decisions. In this session, we’ll talk about how you can kick-start your analytics journey, overcome obstacles and build your modern data & analytics team from scratch.