Translating big data into actionable insights for organizational growth and success doesn’t require an army of data scientists or deep technology expertise. Instead, it requires a firm understanding of enterprise data within a business context for users to do their jobs successfully. But when data is being collected, shared and deployed at such a rapid pace, IT is often saddled with sole responsibility for managing and preparing data, ultimately subjecting business users to long delays or confounding them with overly technical data tools.
Extracting valuable business insights from enterprise data assets isn’t easy. However, it becomes even more difficult when IT uses SQL and other technical languages to describe data assets, forcing business users to translate technical vernacular into business terms. As valuable as data is, it is only an asset if business users can turn it into improved outcomes and meaningful insights. Organizations can’t afford to have business users wholly dependent on IT for the information they need, as delays and confusion serve to discourage data utilization, because the results aren’t timely or they don’t understand the information.
The most successful organizations, however, formally align diverging lines of business, technology and processes to break through this potential confusion. This allows organizations to quickly and efficiently leverage data to derive maximum business value. To implement this level of data management, however, comprehensive data governance needs to play a key role.
Fundamentally, data governance is about increasing the understanding of enterprise data, and the best way to do that is to cultivate a culture of open communication and cooperation among lines of business and IT resources. By fostering accessibility, accountability and awareness of an organization’s data landscape, data stakeholders and consumers are on the same page and the needs of the entire organization are better served.
The right approach to data governance requires organizations to build collaboration among data owners in IT and different lines of business. When all teams work together to define and classify data, any ambiguity faced by business users interpreting data can be eliminated. Business users can then execute important business operations and make crucial decisions.
By engaging different departments and precisely defining roles and responsibilities among IT and business users, organizations can ensure everyone has a full understanding of enterprise data assets, and that appropriate updates to data occur when needed. When business users have a complete understanding of their data, they have full confidence in using it to make important business decisions.
To foster better collaboration among various lines of business, and produce better and faster insights, organizations need an all-inclusive solution suite to deliver a complete 360-degree view of an organization’s data landscape.
The most effective data governance solution suite should deliver complete transparency into an organization’s data landscape by allowing business users to quickly define, track and manage all aspects of their data assets. It should have the right tools to help users create a comprehensive business glossary that defines both data and related business terms across the enterprise, removing any uncertainty faced by business users.
The solution suite should promote a community approach to bridge the business to IT divide and bring people and data together. It should clearly define ownership and accountability for every data asset in the organization, so every business user knows who to ask when they have pressing questions about data.
In addition, the solution should provide business users with simple interfaces, clear visualizations and easily navigable workflows to promote communication between IT and different lines of business. With the right data governance solution suite, organizations can successfully implement a data governance program that seamlessly aligns business and IT and ultimately, leverages big data to gain valuable insights.
If you would like to learn more about aligning business with IT around data governance, download this eBook.
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