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Data Management Issues Faced by Company A - Coggle Diagram
Data Management Issues
Faced by Company A
Reactive data management
Problem
In Company A, there had been an issue in lack of maintaining
on the network data asset, which affected public safety and reliability of supply.
Asset data not easily accessible
Problem
Data Management team cannot access some IMS databases, and Company A uses several databases at the same time, which makes management complicated and difficult.
Data improvement project mostly overrun and over budget.
Problem
Company A lacks the connection and connector between IT and business goals. There is also a lack of IT tools for data profiling and data cleansing.
Difficulty in setting
data standards.
Problem
As Company A plans to migrate its asset related data from its legacy asset management systems to Ellipse, and planning to replace it GIS with an off-the-shelf GIS, data standards should be set in place.
Difficulty in obtaining consensus
on data related issues.
Problem
Company A faces an issue in regards to different data users are spread across the organization within departments. This creates a number of issues in terms of data users and data.
The data management team had implemented a data custodianship policy to tackle the above problem, however it was difficult to deploy since the team lacked the endorsement and mandate this solution.
Lack of authority and clear roles and responsibilities
Problem
Even with the solution the Data Management team had employed, 'Governance via Stewardship', there was a lack of authority and clear roles of responsibilities. This resulted in the fail of the solution deployed.
Conclusion & Findings
Based on the data management issues Company A has faced, many of the issues on the mind map here can be solved using a data governance framework. A data governance framework solution can provide an implementation for Company A