How to Handle Large Amount of Data through Efficient Data Governance?

By CIOReview | Tuesday, August 16, 2016
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Being a vital asset for every organization to achieve its goals, data should be managed and monitored efficiently to prevent the misuse and loss of information. For the successful managing and monitoring of data; stringent data governance should be implemented and at the earliest should be on effect.

Concept of Data Governance

Data governance plays a pivotal role within the enterprise, through resolving data issues and allowing business users to manage information assets. Data governance also aims at ensuring quality, availability, integrity and usability within the organizations. The efficient data governance involves the processes, role, standards and metrics that enable organizations to achieve its goal.

Handling a Storm of Data

The concept of BYOD and cloud services has created a revolution into data governance by taking over the proprietary form of data governance. Many large organizations allow employees to carry their own mobile devices to enhance the mobility for seamless functioning. This, in turn has eliminated the need for drawing perimeter in the flow of data. The employees are bringing mobile devices, social logins and personal cloud technologies which additionally increase the risk of data governance.

The challenges in the traditional data governance strategies throw a better understanding into handling huge amounts of data. The first and the foremost impediment is inadequate overall IT governance. The enterprise should optimize the governance strategy not just focusing only on individual parts but also parts at large. Secondly, resistance with development teams is a major concern allowing development teams within the organization to work within their own team; lacking collaboration. In addition, data governors work too slowly; taking convenient time to look into the matters.

Principles of Data Governance:

The data guiding principles acts as the key for successful data governance, processes and projects. The principles further help stakeholders in resolving data-related conflicts.

1. Integrity

The participants indulging in data governance will practice integrity in their dealings over discussing confidential information including drivers, constraints, options and also data related discussions.

2. Transparency

The stewardship process; the planning and management of resources and data governance make sure that transparency is maintained within the process. The participants and auditors are frequently updated on the latest data-related decisions.

3. Auditability

The data governance at the same time provides auditability through maintaining robust documentation on the data-related processes and decisions. The documentation is also compliance based.

4. Checks-and-Balances

The accountabilities in data governance define checks and balances between business and technology teams. In addition, it is also acceptable to those who create and collect information, and those manage it and use it.

Best Practice to Implement Data Governance

• Start small

Data governance process should include a holistic approach by focusing on people, politics and the culture. It should further move on with data governance and stewardship process at large. Enterprises should make sure that the process should gradually move in a seamless way at reasonable pace.

• Obtain sponsorship at the executive level

For data governance to function effectively, proper projects and technology tools are required. The tools and technology further needs a support at the executive level. Enterprise should get on board key decision makers to represent functional areas.

• Data stewardship at an early stage

The data stewards should maintain and ensure effective control and use of data assets. Organizations should bring in a subject matter expert from all areas to examine data breaches. Organizations should also allocate time in order to examine data and for stewardship work.

• Collect and report on metrics to track the progress

Enterprise should track the progress in order to maintain and document positive feedbacks and report. The data metric should include data value, data management cost, and data management process maturity.

Data governance is one of the most important aspects of the information governance. The data governance should be implemented in all organizations in order to retain and maintain essential information. The future of data governance involves keeping all the data in track and protecting to eliminate the loss and misuse of information.