Data Governance Case studies

Using Data Quality Metrics to drive Data Governance in a Financial company-casetusy-vertical-img

Using Data Quality Metrics To Drive Data Governance In A Financial Company

Using Data Quality Metrics to drive Data Governance in a Financial company-casetusy-vertical-img

Challenge

The corporation contacted Elait to help them identify Data Quality issues and build metrics to allow them to track and increase the quality of source data. The lack of Data Quality was causing issues and business was unsure of accuracy of reports being generated.

Solution

With our extensive industry knowledge and technical expertise, we used KPIs to drive change in the organisation. Elait used Ab Initio Metadata Hub and the Ab Initio suites to implement Data Quality metrics and workflows.

Outcome

The quality of data began to change over time, and the business was able to identify the issues before the data made it to the reporting layer. Quality data was made available, increasing data confidence and enabling accurate reporting for business analysis.

Creating Data Lineage to meet regulatory requirements and implement Data Governance-casetusy-vertical-img

Creating Data Lineage To Meet Regulatory Requirements And Implement Data Governance

Creating Data Lineage to meet regulatory requirements and implement Data Governance-casetusy-vertical-img

Challenge

A major Financial Institution had a requirement to meet IFRS9 regulatory requirements to identify all data and transformations to data utilised for auditing purposes. There was a lack of corporate wide lineage to be able to justify the outputs that had been provided to the auditors.

Solution

Elait was tasked with building up a picture of numerous legacy systems and how data flowed through them. Through the process of building the lineage it was identified that there was a large gap in the understanding of the systems. During the programme, Elait was able to trace back lineage through external systems, multiple types of databases, FTP locations and queues, and load all this data into the Metadata Hub. By creating custom imports and custom reports Elait was able to create a business wide view of all systems and data transformations. 

Outcome