Eliminating the cost of poor data quality through data governance
We help business capture lost revenue and reduce hidden costs through better management of their data
The cost of poor quality data can impact customer revenue
Data quality is often seen as a technology issue, but frequently directly impact customers and the business's revenue. Incomplete contact information about prospective customers could lead to customers not being contacted. Incomplete shipping information could lead to delays and incorrect deliveries leading to customers moving to competitors. Poor quality data can directly impact customer acquisition and retention.
Manual correction of data is often a hidden cost to the business
Data collected through manual paper forms or badly designed IT systems often has to be manually validated and corrected by staff. The time and cost of this manual correction is normally hidden in operational costs but is time that could be better spent serving customers. Improving these data paint points can measurably save time and increase customer satisfaction.
Making business decisions on poor quality is risky
When business users are aware there are data quality issues, performance management reports are often not trusted. It becomes hard for managers to differentiate between reports with good data and those with bad data. Employee satisfaction is negatively impacted and decisions start to be made on gut-feel rather than on actual performance.
Our team work with businesses to implement pragmatic data governance We provide the following services;
Poor quality data can directly impact customer acquisition and retention
Manual data error correction can be a significant hidden business cost
Data errors can lead to disjointed processes and analytics
Establishment of corporate level data ownership and governance mechanisms to improve the organisation understanding of its data and drive improved data quality.
Development of Data Dictionaries to create common technical standards and API specifications to enable improved information sharing.
Development of practical data models that enable organisations to better manage their data and work in a common way across organisational boundaries.
Examples of the benefits we've delivered to clients
Logistics: Building a data governance capability to improve customer service
Our team built a data model to enable a global business to operate seamlessly across geographies. The data model enabled a single set of businesses processes to be developed and global applications to be integrated together using common data standards.
Retail: Implementing data governance to create a single shared language across the business
Our global client wanted to improve how its regional teams worked together. We create a business glossary and established data governance, creating a single language so that all teams could collaborate more effectively.