Coupling disparate data sets into meaningful “mashups” is a powerful way to test new hypotheses and ask new questions of your organization’s data. However, more often than not, the most valuable data in your organization has already been transformed and warehoused by IT in order to support the analytics needed to run the business. Tools that neglect these IT-managed silos don’t allow your organization to tell the most accurate story possible when pursuing their discovery initiatives. Data discovery should not focus only on the new varieties of data that exist outside your data warehouse. The value from social media data and machine generated data cannot be fully realized until it can be paired with the transactional data your organization already stockpiles.
Judging by the heavy investment in a new “self-service” theme in the recently released version 3.1 of Endeca Information Discovery, this truth has not been lost on Oracle.
Companies that are eager to get into the data discovery game, yet are afraid to walk away from the time and effort they’ve poured into their OBI solution, can breathe a little easier. Oracle has made the proper strides in the Endeca product to incorporate OBI into the discovery experience.
And unlike other discovery products on the market today, the access to these IT-managed repositories (like OBI) is centrally managed. By controlling access to the data and keeping all data “on the platform”, this centralized management allows IT to avoid the common “spreadmart” problem that plagues other discovery products.
Rather than explain how OBI has been introduced into the discovery experience, I figured I would show you. Check out this short 4 minute demonstration which illustrates how your organization can build their own data “mashups” leveraging the valuable data tied up in OBI.
Chances are that a handful of these tested hypotheses will unlock new ways to measure your business. These new data mashups will warrant permanent applications that are made available to larger audiences within your organization. The need for more permanent applications will require IT to “operationalize” your discovery application — introducing data updates, security, and properly sized hardware to support the application.
For these IT-provisioned applications, Oracle has also provided some tooling in Endeca to make the job more straightforward. Specifically, when it comes to OBI, the product now boasts a wizard that will produce a Integrator project with all of the plumbing necessary to pull data tied up in OBI into a discovery application in minutes. Check out this video to see how:
It is product investments like these that will allow organizations to realize the transformative effects data discovery can have on their business without having to ignore the substantial BI investments already in place.
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