Data infuses intelligence in to every business.
It empowers business leaders and helps them make timely decisions, which in turn fuels growth and enables organizations to have a competitive advantage. As the benefits of making data-driven decisions and gaining meaningful insights from data become clearer, nearly every business leader today is looking for an analytics solution. They need solutions that can quickly churn massive data sets into meaningful and trustworthy insights.
To achieve this, many organizations invest time and resources in creating enterprise data lakes to quickly satisfy the analytics requirements of business leaders. They are ready to throw all types of data — be it structured, semi-structured or unstructured — into the lake and wait for magic to happen. When organizations do that, they often find that their efforts don’t succeed or deliver the compelling analysis and insights they expected.
That’s because dumping data into a central location to run analytics projects can’t help businesses achieve their goals. A data lake is an environment that supports fast and flexible exploratory analysis. Without appropriate governance or cataloguing, data in your data lake may be of poor quality and not trustworthy for use. If you don’t tag it, you can’t find it. And if you can’t find it, how can you use it?
Bad data turns these data lakes into data swamps and clouds the insights you need, even when you’re asking the right questions. The data you want is somewhere in the data swamp, but you can’t discover it, find it or trust it, which means you ultimately can’t use it.
Making your data lake a governed data lake can change the game.
Without governance, organizations put the security of their data at risk. When data is cataloged and governed, an organization can effectively discover, classify, track the history, verify lineage, and validate the quality of data, and thereby use it with confidence.
A governed data lake contains data that’s accessible, clean, trusted and protected. It can be shared and consumed with confidence because its platform is security-rich, the data quality and lineage is well understood, and the data is timely and properly classified. Controlled data feeds populate the data lake with reliable information while documenting the information assets and metadata, helping you to keep the data fresh in the data lake and providing high-quality, trusted data to anyone who uses it.
While you tap into the advantage of the data lake with no data preparation time, you also enable all data consumers in your organization to make smart, data-driven decisions with self-service access to business-ready data while saving costs. The data is governed, so you’re not only providing trusted insights, but you’re also better equipped to handle ever-changing regulations and compliance requirements around data governance.
This holistic approach to building a governed data lake helps create easier access to structured and unstructured data for a broad range of data consumers. Both categories of information assets can be captured in one enterprise catalog for the organization, reducing data preparation time and thereby improving agility.
To see a live demo of how the IBM Unified Governance and Integration platform can help you accelerate your adoption of a governed data lake, watch this webcast.