Big data management and analytics will see some significant changes continuing and others beginning to emerge this year. These include:
- Leveraging data in different and more productive ways, effectively moving from the dashboard to a discovery platform and from a retrospective strategy to inherently more predictive one.
- Cutting through the noise and focusing on the signal. Companies are faced with managing enormous amounts of data, and determining how to identify actionable data amongst all the noise. Expect data driven companies to bring a more tightly focused approach to their data in order to cut through noise and reap greater business benefits.
- “Democratization of Data”, where self-service comes of age and people begin to get access and truly “own” their data.
- Moving away from a DIY approach to turnkey solutions. Today’s approach to big data is still very much a customized solution where companies are tasked with building everything from scratch. 2016 will see a growing demand for out of the box solutions.
- Commercial success for big data. With Gartner claiming only 3-8% of the potential big data market having been actualized, there is room for ongoing considerable growth, and a true launch of the commercially viable enterprise data warehouse in 2016.