17 Dec Data Governance Initiatives: Why They Fail
Data Governance Initiatives are a key component of any data strategy, but why do they fail?
There are many reasons why these initiatives don’t work out. One reason is that there may not be enough resources available to maintain the project or initiative.
Another reason Data Governance Initiatives can be unsuccessful is because they lack buy-in from all stakeholders in the organization.
This blog post discusses why Data Governance Initiatives often fall short and how you can avoid this problem in your own business!
Some information provided by Principal Consultant Rishi Maharaj
There are many reasons why data governance initiatives fail, especially since most data governance initiatives are not part of the common and holistic understanding of leadership teams. This means that when finally implemented, there is a learning curve that will be expected.
Lack of support from Management
A program can never succeed if top management does not appreciate the advantages of data governance and only sees the associated costs.
A successful data governance program needs to be supported by the business leaders and management team.
Costs may also force critical improvements to be delayed or the program to be prematurely terminated.
Treating Data Governance as a Project
A data governance initiative is not a one-off project. The management of data quality, data analytics, data monitoring, data profiling, data warehousing and a host of other factors should be continuous and systematic.
As information needs change, data volumes increase, and new data enters the organization via new systems or third parties, decisions about how to treat, access, clean and enforce rules about data will not only continue, but they’ll likely also proliferate.
A structured, formal, and permanent process for making these policies and decisions should be retrofitted into the way a company develops its data and conducts its business.
Company may be focusing on Tools and not Processes
Without a data governance strategy or data and analytics governance, it does not matter what tools you have, there will be chaos and mismanagement.
In the same way that using MS Project will not remove the need for a project manager, even using the best software will not remove the need for a data governance team.
The first considerations should be the company, its organizational structure, its processes, and the responsibilities that need to be defined before the right software can be deployed for support.
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