Self Service Data Management for Analytics Users Across the Enterprise
With the proliferation of analytics expanding across every function of the enterprise, the need for broader access to data by experienced data scientists and non-technical users to produce reports and make discovery is growing exponentially.
The unintended consequences of this trend is a bottleneck within IT to deliver the necessary data while still maintaining the governance and data security standards required to safeguard this critical corporate asset.
This presentation illustrates how organizations are solving this challenge and enabling users to both access larger quantities of existing data as well as add new data to their own models without negatively impacting the quality, security or cost to store that data. It also highlights some of the cost and performance benefits achieved by enabling self-service data management.