Overcoming common Enterprise Data Governance challenges

Data is at the center of People, Process, and Technology, representing a crucial asset used by all three.


Simply put, people should embed data in any project to ensure that organizations follow a defined road map around Enterprise Data Governance.


Any organization's most critical assets are its quality data and enterprise data governance. This should be applied across the various applications, systems, and data services within the organization. Our team of experts at Data Ideology work to ensure that data is centrally managed and governed across all enterprise platforms in the following ways and steps:


Enterprise Data Standards


Developing enterprise data standards makes it easier to share and leverage data across various business units. One of the key benefits of establishing data standards is to give data the consistency it requires to be shared enterprise wide. It's essential to help business users succeed with a single source of truth for reports and analysis. Furthermore, it creates momentum moving forward and connects timely information across various operational processes, business decisions, and campaigns.


Holistic Data Governance


Enterprise data governance policies should be administered broadly across the organization. It should be directly applied to data access and use regarding any scenario in real time. A significant benefit of holistic data governance policies is that the business and technical users can now put these policies into practice to develop data solutions on an ongoing basis.


Metadata Management


Metadata management is necessary to enable business and IT users to maximize their data assets' value. Its capabilities can support the development and deployment functions across various enterprise Data Management functions. Leveraging metadata management can also benefit other data inititatives such as Master Data Management (MDM), Data Integration, and Data Quality (DQ) capabilities. Many organizations already have technology solutions with capabilities in this area and should expand it as a requirement to drive additional value and achieve their goals.


Build a Data Catalog to enable Metadata Management


Building a catalog of available data enables a wide range of business and technical users to understand and work with the data in a more meaningful way. Business metadata with a data catalog is an essential opportunity to unlock the value of self-service and advanced analytics. The primary benefit is that the non-technical business users have the ease of use necessary to work with data, utilizing a business-friendly mindset on a regular basis.


Executive support for long-term success


Data should be a centrally managed asset and resource that requires support from senior management and the highest levels of any business operation. The cross-functional challenge of integrating data means that support from senior leaders and key stakeholders across the business and IT departments is a critical element of success, effectiveness, and achieving core business goals. The benefits come as the organization matures its data management capabilities and priorities. Moreover, to efficiently utilize data in operational and strategic analytical applications to capitalize on their data's value.


At Data Ideology, our team of subject matter experts and business analysts understand enterprise data governance and utilize it as part of our approach. We have helped organizations of all sizes and across various industries with day to day enterprise data governance activities and initiatives. More importantly, we work to engage the businesses and gain support from senior executive leadership teams, enabling us to deliver value and surpass expectations by integrating effective enterprise data governance into any data related process or experience.

Written by Mike Sargo


Co-Founder & Chief Data and Analytics Officer at Data Ideology


Mike Sargo is Chief Data and Analytics Officer and Co-Founder of Data Ideology with over 18 years of experience leading, architecting, implementing, and delivering enterprise analytics, business intelligence, and enterprise data management solutions.

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