The unprecedented volume of data that now surrounds us presents us with exciting new opportunities as well as daunting challenges. We can now analyze huge amounts of data in real time, which helps us make faster and more informed business decisions. Our ability to combine internal data sets with information acquired from social and mobile technologies lets us create real-time predictive capabilities that can increase profits, reduce risk, and significantly improve customer satisfaction. The question is: How do we get to this desired state?
Despite the inherent appeal of big data, many organizations have a difficult time harnessing its full potential. They must create a seamless environment that streams data in and out of analytical platforms, allowing applications to interact and deliver actionable insight. But all too often, they struggle with variations in structures, formats, and semantics. Meanwhile, siloed and disparate data and master data, a lack of cohesive data governance, and incompatible data management decisions stand in the way of effective integration and sharing of information.
The design and implementation of a holistic, integrated information architecture is the solution, and in this presentation, we will examine how best practices in enterprise information management (EIM) support the foundation for success in the world of big data.
In this Webinar, you will learn:
- The fundamental framework and critical success factors for big data
- How EIM best practices enable big data success
- The importance of uniting information management, data integration, and business analytics to up-level your business success
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