There’s no thinking about how companies – from C-level executives to business analysts – can use big data without addressing the underlying technical structure.
Solid foundations should be designed around a vision for highly integrated and analytics-enabled ecosystem. That vision must take a holistic view of the strategic imperatives around big data. It also requires a clear grasp of how big data works.
That’s true because there is no converting big data into actionable insights and – ultimately – business value without:
- The integration of repositories across the business to enable reuse and mask complexity to end-users
- Ready access to high-value and high-quality data streams and analytics tools by the right users
- Linking of data and discovery platforms to create agile, self-service capabilities
- Strong data management practices, well defined business rules and strong governance as “guardrails” for ongoing data usage.
The payoff comes in many forms. More precise insights within specific business processes, better pattern recognition capabilities across functions and business units, and greater sensitivity to market shifts. Plus, because they are flexible, well designed big data infrastructures pay off long into the future, as the big data and analytics game continues to change.