Data Management Strategy

Common Data Governance Challenges & Solutions

Data governance is the method of managing the availability, usability, uprightness, and safety of the data in operation systems, based on internal data norms and policies that also restrain data usage. Effective data governance guarantees that data is steady and reliable and doesn’t get misused. It is more essential as businesses face updated data privacy policies and rely more on data analytics to aid optimize operations and make better business decisions.

A well-designed data governance plan typically includes a governance team, a board that acts as the governing body, and a group of data administrators. They operate collectively to formulate the rules and policies for governing data, as well as implementation. Implementation procedures are essentially carried out by the data administrators. Executives and other representatives from a company’s business operations take part, in extension to the IT and data management teams.
While data governance is a central element of an overall data management tactic, businesses should focus on the desired outcomes of a governance program instead of the data itself.

Common challenges of Data Governance

Inadequate Resources
Typically, organizations may not seem to have the resources, including the cost or the workforce, to manage an ongoing Data Governance program. You may have lots of preferences your team needs to balance in addition to IT work, and you can’t just funnel Data Governance duties to your existing IT team.

Siloed Data
It is normal for data to become increasingly siloed. This happens based on several reasons like

  • The fast pace of data collection
  • The steady growth and turnover of the latest technologies
  • New data channels
  • The internal conflict between teams
  • Emerging business infrastructure

As your company collects more data, you must be careful not to let it become too siloed. If not, it’ll be difficult for you to analyze the data in combination with itself and extract significant conclusions from the data collected.

Lack of Management
On the private side of things, many businesses are struggling with data management. Data Governance should be a prime priority for these reasons

  • The need for someone to give them directions to your governance team
  • The governance leader can help in developing internal policies that everyone in the organization has to follow
  • Everyone in the organization is not data literate

The Data Governance leaders are appointed to know how to break down issues about Data Governance by Data Modeling and presentations.

Bad Data Quality and Context
Many companies waste their time and resources collecting data that doesn’t have value for their objectives. Surely, a vital part of Data Governance is to guarantee that your company obtains the data that it needs to improve and satisfy shareholder expectations.
For this, you have to invest in analysis tools and experts who can interpret the data you have gathered and help strategize your future data collection efforts.

Lack of Data Control
The most basic Data Governance challenge is a lack of control over business data. If you don’t have authority over your data, it could result in non-compliance. Many business leaders find that they are completely drowning in data and just need a place to store it. They don’t care about who is in charge of data storage or retrieval.
Funneling your data storage affairs to the cloud can work, as the cloud is reasonably secure compared to traditional data storage alternatives. A core component of Data Governance is controlling the data and understanding where everything is collected, sorted, and who’s in charge of managing it for future needs.

Data Governance is of significant importance, particularly as new challenges and risks become increasingly visible to company executives. Making sure your business is all set for future challenges is your number one priority and it is possible by adopting Data Governance in your data storage and management.