How to Implement a Collaborative Approach between IT and Business for Data Governance Success
Learn How to Avoid Stepping on Each Other’s Toes
Data is at the core of most businesses today. From improving strategic business decisions to enhancing day-to-day operations, and even optimizing the customer experience, data is a key business asset. As data has enmeshed itself in every facet of modern business, it comes as no surprise that business users have supplanted IT professionals as the primary consumers of organizational data, and are filling an ever more prominent role in data management.
Even so, business users remain heavily reliant on the IT department for data management support and expertise, as IT still takes a primary role from an operational and oversight perspective. As a result, there remains a disconnect between IT and business, as business users are often left perplexed and frustrated when they try to figure out how to translate the IT department’s technical jargon into business terms. Critical business decisions can be delayed for weeks or even months because IT has a backlog of analysis requests to fulfill and even explain, and by the time they do, the information is outdated and irrelevant.
To use data for success, organizations need to make their data easily understandable for everyone in the organization. The remedy? A comprehensive data governance framework to bring clarity to enterprise-wide data.
Data Governance Fosters Enterprise-Wide Data Understanding
Data governance is about increasing the understanding of data to serve the needs of the entire organization. By formally orchestrating people, processes, and technologies, organizations can ensure all users have a firm understanding of data to leverage it as a business asset.
Successful governance requires a collaborative approach among IT and varying lines of business to equip business users with the information they need to turn that data into actionable insights. By engaging different departments and clearly defining roles and responsibilities among data owners, users, and stewards, organizations can ensure business consumers have a full understanding of their data. They can then rely on the information to formulate successful business strategies.
However, many organizations feel challenged with the data governance framework they have in place because they don’t have the right tools to help foster collaboration. They depend on antiquated tools and spreadsheets instead of a comprehensive turnkey solution.
A Solution to Promote Enterprise-Wide Collaboration
All too often, data governance strategies fail because organizations resort to outdated, manual approaches that rely on wikis or spreadsheets. Any labor-intensive effort that requires ongoing updating of disparate spreadsheets will quickly grow overly complex and outdated, rife with errors and never scalable as an enterprise-wide strategy. As if this were not enough, it’s nearly impossible to manage the various changes as data “hops” between systems.
Instead, organizations need a single solution suite that delivers an all-inclusive view of an organization’s data landscape, from the data available, its owner/steward, lineage, and usage, to its associated definitions, synonyms, and business attributes. It should allow business users to easily define, track, and manage all aspects of their data assets, enabling collaboration, knowledge-sharing and user empowerment through clarity across the enterprise.
The solution suite should help translate any technical vernacular from the IT department into business terms to bring the two worlds together. By aligning IT and diverging lines of business, collaboration can build trust among data producers and users by clearly defining ownership and accountability for all data assets in the organization, arming business users with all the information they need for success.
If you would like to learn more about data governance and equipping business users with the data they need, download this infographic:Download the Infographic