The Enterprise Data Catalog: Build or Buy?
Learn about the key lessons from the data catalog journeys of eBay and LinkedIn, and why building may lead you to buying
Every business is trying to become data driven, and managing data as a true economic asset is a fundamental part of that transformation. The machine learning data catalog has emerged as a key technology enabler for this transformation, helping to overcome the complexity created by the sheer amount of data, tools and data users.
According to the Gartner Magic Quadrant for Business Intelligence and Analytics Platforms, 2017, "By 2020, organizations that offer users access to a curated catalog of internal and external data will realize twice the business value from analytics investments than those that do not."
But, the dilemma facing most businesses is how to harness a data catalog to power their analytics. In this white paper, learn the key factors to consider when deciding to build or buy a data catalog, including lessons gleaned from the data catalog journeys of eBay and LinkedIn.
Download this white paper to learn:
- The essential components of a modern data catalog
- Important factors to consider while deciding whether to build or buy
- Opportunity cost of building a data catalog internally
- Key lessons from two of the most tech-savvy companies in the industry -- eBay and LinkedIn -- as they embarked on their journeys to build a data catalog