Analytics—long the darling of technology-savvy companies—has proven to be invaluable to all companies in all industries. The past few years have taught us that our businesses, indeed, our world, can change in a heartbeat. Organizations must be able to understand the impacts from these changes and be ready to react to them, not in days or weeks, but in seconds or minutes. However, most analytics environments have become so complex, so fractured, that finding the right data, let alone accessing it and analyzing it, within these tight time frames has become increasingly difficult.
Organizations, large and small, are finding that data discovery is a major success factor for their analytical prowess. However, useful data is not easy to find when it is scattered across the entire organization, where clear metadata describing it is difficult to find, when deployment options such as cloud (or multicloud), on-premises, or combinations of these are readily available, and the analytical environments have layer upon layer of technologies that increase the difficulty in discovering the right data.
This is where a data marketplace comes in. A data marketplace, in simple terms, is an uber-catalog of all data, algorithms, models, and analytical results available to the enterprise. This presentation will cover the following topics:
- The current state of analysis in enterprises
- The need for a data marketplace
- Use cases
- Technology needed to create a data marketplace
- Getting started