Data Governance is the process of understanding, managing and making the critical data available with the goal to maximize its value and to ensure compliance.
Data Governance is an important and imperative area for Enterprises that want to realize full value from the data available with them. InfoTrellis’ Data Governance Methodology follows a multi-phased iterative approach with 4 stages – Initiate, Define, Deploy and Optimize. This article lists the important considerations that are part of the Initiate stage of our Data Governance Methodology.
The Debate– Small or Big? The very first step of Data Governance is also the most ambiguous for most enterprises. The most common debate is whether to start an independent Data Governance program across enterprise or to start with specific problem at hand and then scale big. Most enterprises that are successful with Data Governance start small with a specific domain or business area to solve a data issue and then expand. The few enterprises that aim for enterprise wide Data Governance, break their program in small iterative steps to achieve success. So whatever the approach, – small or big – having small iterative steps is the key. It is critical to resolve this debate and finalize on the strategy before embarking on further activities.
Maturity Assessment – Assessing the current state of information management is essential to understand why things went wrong and how they can be fixed. Clients can adopt any of the leading Maturity Standards for their Data Governance Program including the one from InfoTrellis. These standards are referenced to mark the current maturity level of a particular business area. It is a normal scenario to have different maturity levels for different business areas of an enterprise. We suggest that specific prescriptive roadmap be defined considering the individual maturity level of each area. The maturity assessment needs review after each iterative deployment of Data Governance policies.
Data Governance Roadmap– The roadmap defines the steps to be taken to reach the desired state of Data Governance. This can be specific to a business area at the start and can be refined based on each of the incremental Data Governance deployments.
Secure Sponsorship – A compelling business case highlighting the business problem, its impact on revenue and cost and how it can be resolved by Data Governance, is important for getting the attention of executives and the subsequent sponsorship. Many Data Governance programs lose steam mid-way due to inadequate sponsorship. Executives have to continuously send messages to the team, educating and reinforcing the importance of achieving data governance goals.
Assign an effective Program Manager – Data Governance programs are complex programs requiring top notch process and people skills and needs continuity. Hence identifying the right program manager with clearly defined roles and responsibilities is very important for a successful program. We have seen many programs suffer due to ambiguous or frequently changing Program Managers.
In conclusion, each enterprise begins its data governance program differently. But addressing each of the above considerations and activities proactively helps setup a path to success.
Check out the Part 2 of this 4 part series on Data Governance from InfoTrellis – Define your Data Governance
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