Are you a CIO getting stumped by data governance challenges in your organization? Then read on to know how you can create a roadmap to overcome the hurdles. In today’s data-driven world merely having an information management program is not enough. You need a well-defined data governance approach to keep the initiative efficient and productive. The chief information officers (CIO) of modern enterprises are not only the guardian of the information technology infrastructure but also play a strategic business role. Most professionals understand the value of effective governance in achieving business objectives. However, the road to implement a monitoring plan is not smooth. CIOs face problems right from the time when the plan is only a concept to when it is applied across the enterprise. They face the following major challenges while trying to run a supervisory initiative at their organization: 

1. Funding The Governance Initiative

One of the topmost challenges that professionals face is in convincing the key decision makers to fund the program. The top executives will not loosen the purse strings unless they are completely certain that the plan will add some value to their corporation. The officers need to explain the benefits of a supervisory framework for the data management program. They have to show how better decision-making is enabled at businesses where the initiative is being run successfully. Pointing out advantages like improved operational efficiency and protection against hazards like data theft and misuse will be helpful. Actual case studies will help in convincing the organization to release sufficient funds for the program.

2. Not Knowing Where To Begin

Even if enterprises see the value of a strong governance mechanism, they can be clueless about how to begin the program. Most corporations are generating a huge amount of data on a daily basis. This large volume of information is getting stored in silos making it difficult for companies to understand how to start the process of managing it. A governance program starts with a clear business objective like strategy and business intelligence or regulatory compliance requirements. The personnel saddled with the duty of implementing the plan must get all the stakeholders on board and identify the objective for their enterprise. This will be helpful in formulating a clear plan of action.

3. Defining Ownership And Accountability

In most companies, governance is seen as a purely IT-owned scheme. This kind of thinking originates because traditionally, the Information technology section is regarded as the owner of data. One of the biggest data governance challenges CIOs face is in defining ownership of assets and establishing accountability roles. They must understand that ownership is different from governance. Whether the Chief Data Officer (CDO) or the CIO heads the initiative depends on the enterprise. Organizations have to assess whether they need a CDO or not. In case, both roles exist then a clear division of roles and responsibilities is necessary. 

4. Choosing The Right Team

The supervisory framework cannot be seen as a purely technical program. It is impossible to oversee the management framework efficiently if the human resources responsible for supervision are not competent. The ideal situation is to have a dedicated team to conduct the monitoring. However, in most enterprises staff members have to shoulder the responsibility in addition to their existing duties. The chief officer has to select people who not only have the experience of working with the selected assets but also have the aptitude to handle technical processes and systems. Finding workers who are experienced and have the requisite technical skills along with the drive to be a part of the initiative can be tough for CIOs.

5. Getting Stakeholders To Collaborate

One of the biggest hurdles in effective supervision is the lack of synergy between the different stakeholders. The council implementing the scheme must be able to generate productive ideas, build consensus, and take appropriate decisions. It is the duty of the person heading the plan to ensure that the information flows smoothly in a protected environment across the enterprise. He/ She must get everyone to follow the plan of action and collaborate with each other. The ownership roles must be clearly defined to eliminate any kind of confusion when it comes to assigning accountability. This will ensure that everyone understands their roles perfectly. The business benefits must be explained to the IT and business sections to motivate them to build a strong partnership.

Conclusion

These are some of the crucial data governance challenges that CIOs face at organizations. They must partner with data governance consulting experts to create a blueprint to monitor the management effectively and enable better decision-making.