Sat. Aug 17th, 2019

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5 Major Reasons Why A Data Governance Strategy Fails

4 min read

Running a data management program efficiently without an effective data governance strategy is virtually impossible. A monitoring framework is necessary for ensuring that all the defined procedures for handling information are followed by the workforce. The supervisory group makes sure that the elements reside, transform, and are relayed to different users in a sanitized and secure environment. Data is a critical element for all modern organizations as it holds the key to their improved performance. Governance helps corporations keep the value of their assets intact by assisting the information management program. However, in many organizations, this initiative fails which in turn, impacts the data management strategy. Following are the top reasons which can cause a supervisory program to be unsuccessful:

1. Lack Of Executive Support

A major cause of the failure of an overseeing mechanism is the lack of support from the top management. In many organizations, the key decision makers who ultimately benefit from a well-run info-management scheme, fail to recognize the benefit of the program. They are only concerned about the costs associated with running the initiative. In case, they do not see any visible advantages, they form the opinion that the plan is useless and only causing the company to lose money. It is essential that the top executives be the first individuals who are brought on board while planning the whole arrangement. Once they understand how valuable the program is they will make sure that it runs smoothly.

2. Not Linking Project To Clear Business Goals 

The project will not succeed if there is no clarity on what it is going to achieve. Enabling better decision-making can at best be a broad objective and the company needs to define what it hopes to obtain with the scheme. The program must be linked with clear business goals so that not only the top management but the entire workforce understands its importance. Make sure that the goals are quantifiable so that they can be tracked and measured. The objectives can be reduced lead conversion time, better user engagement or lower costs of a business process. Once they are achieved, the supervisory group can highlight them as their success stories.

3. Viewing The Initiative As A Technical Project

Many business owners treat the program as a purely technical project. This incorrect approach is another big reason for failure. A data governance strategyis primarily about the organization and its people. However, corporations make the mistake of directing all their efforts towards finding the best tools and software solutions. The technological tools are also vital for the initiative’s success but they will be rendered useless if they are unsuitable for the organization. It will be pertinent to conduct a comprehensive evaluation of the organization to assess its readiness for the plan. The top priority must be given to identifying the most important stakeholders so that proper ownership and user roles can be assigned.

4. Ineffective Change Management Strategy

The implementation of the monitoring plan will always be a huge change for any organization. Its workforce will be exposed to new software and hardware systems. They will have to learn to work with these solutions and follow new rules and procedures. Problems arise if the transition is done in an unplanned way without a proper change management strategy. Workers will need to be trained in operating the new tools and conducting new processes. Instead of rolling out the program at once it will be better to implement it in a phase-wise manner. This will help the organization get accustomed to change and the scheme will become operational smoothly.

5. Selecting Unsuitable People For Governance Roles

An unwise governance team selection can also cause the program to collapse. In many companies, the group comprises of IT specialists with a negligible understanding of business concerns. This causes conflicts between the business and the technical sections. A steward must know about business processes as well as technical solutions in order to discharge her duties efficiently. The selection for the stewardship roles must be done carefully and persons with analytical skills who can identify the root cause of an issue must be picked. These people must also have to authority to take vital decisions. They must be provided with adequate training to understand and apply governance concepts correctly.

Conclusion

An effective data governance strategy cannot be executed unless the organization invests significant time and resources in planning the initiative. Hiring the best data management services agency will be of no help if the system for monitoring the program is incompetent.

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