Getting the data quality in order

A Telecom operator wants to work towards a data-driven organisation with a high degree of digitisation. Due to limited system integrations, excessively free systems and pollution of historical data, data quality is a bottleneck in this ambition. The organisation has been working to change this for several years, but with too little result so that ambitions are not met.

• By means of the Vasco Scan, we identified the current data quality issues.

• The insights obtained defined an approach: a combination of metadata management, data quality dashboards, data cleansing (via scripts and manually) and organisational embedding.

• This approach was subsequently elaborated and implemented.

• Data quality percentages have improved from around 82% to 95% within six months.

• In order to make the ambition of digitisation and data-driven work possible, the ambition has been further increased and, in an operationally guaranteed process, further increased to 99% in one and a half years.

• For the implementation of new IT systems, it has been agreed to migrate only at 100% data quality. The necessary data cleaning actions are therefore included as part of the migration batches.

• Data quality is now a must-have KPI within the organisation’s business processes.