More and more organizations have come to the realization that they have collected huge amounts of data, but may not be gathering the amount of business insights from them. As far as the strategies of the organization is concerned, the thing that has been in focus lately is data governance. Right from the time, technology and data analytics were added as weapons to deal with competition, data governance also came into the limelight. However, various organizations are failing to implement the right strategies of governance. According to the surveys of the past, a majority of organizations have shown failure on this front.
The error lies in improper transformation of data into information that is correct, concise, current and self-explanatory. However, the problem cannot be resolved by technology alone as it is essential to establish a proper data governance program to allow the organization to treat data as a corporate asset by employing proper rules, policies, and procedures. The following points highlight some of the reasons why these efforts fail.
- Politics In The Governance Committee – Data Governance
The projects of data governance fail in several organizations as the company may offer service according to the preferences of the project without guaranteeing success. Apart from this, the projects also fail when the side members of the committee are engaged in the daily tasks. However, the business has a significant role to play in governance right from defining the rules, KPI’s and metrics that all the employees must understand and monitor. Many times, the committee is caught in issues that are beyond control such as high level programs that they are not able to comprehend or those that do not pay heed to the substantive issues. Furthermore, the project may also suffer when it incorporates minor issues that may not be necessary.
- Improper Support From Management – Data Governance
Another reason that the initiative may fail is due to lack of support at the management level. If the senior management does not realize the value and benefits of data governance and looks into aspects such as the associated costs only, the program can hardly succeed. While the required processes may not be executed correctly, critical improvements may not be implemented as well due to cost or may end before its life cycle. Today, it is easier to source the budget needed for the initial project as there are numerous regulations to justify it. However, it is also important that the management should make the long-term resources available for financing all the functions and roles necessary for strengthening the data governance process. Discussing the reasons of failure with data management consulting services can also help in determining better solutions to prevent failures in the future.
- Changing Management And Inappropriate Communication
The introduction of data governance strategies require changes to happen although nothing is going to materialize overnight. Quite naturally, the organizations need to implement proper communication strategy to view the data governance program as nothing more than a burden of the administration and the anticipated benefits would not become clear as well. Reporting on the targets or goals that have already been achieved is necessary and it is better to make the improvement steadily rather than moving on with one big goal that has never been achieved.
Data governance cannot be viewed as a challenge for the IT department only. It requires the involvement of all those business areas that are affected. When there is a breakdown in communication between the relevant business areas and the IT or the individual departments, it creates another opportunity for failure. The silo temperament has already resulted in loads of problems when it comes to data quality. When creating a team for data governance, you have to pay adequate attention to ensure that all the areas of business share the responsibility equally whether it is success or failure. Bringing in the expertise of data governance services can help you to cope with the failures if you are open to their suggestions.
- Dealing With Unexpected Data
When different parts of the business receive unexpected data, it becomes increasingly difficult to implement a proper data governance program. For instance, the employees of one part of the business may use the codes and fields in a way that the other may not comprehend and when the gaps in expectations become larger it can affect the data quality and create disparities.