Data Quality Solutions

 

Errors in data mean much more than bad decisions.

For every business process data errors create risk and increase costs.

Data quality is about having the right data, in the right place, for analytics and operational support.

We provide sustainable and cost effective solutions to deliver trusted data, no matter where it enters and how it flows through your enterprise.

Data quality is a business function that should be supported by IT.

Ensuring quality data is an ongoing function that may include a combination of automated data quality checks and validations, automated data cleansing and matching, and manual data scrubbing or remediation.

Good quality data is the foundation for successful operations, analytics and planning.- ensuring that the data supporting operations, decision making and planning are fit for purpose - irrispective of when, how or why they entered the organisation.

While tactical data quality approaches have a role to play at a project level, we suggest that data quality adds most value when it provides a consistent approach to ensuring fit for purpose data across the enterprise. Tactical approaches should therefore be alligned to the enterprise data quality strategy, which may, in turn, be driven by your data governance policies.

We assist you to ensure that the data that powers your business is fit for purpose, through a combination of data quality implementation, education and the enterprise data quality platform.

Our goal is simple: to deliver “peak condition” information fit-for-your-business, however, wherever and whenever you need it.

Enterprise Data Quality demands a solution that can scale to the needs of your enterprise, yet can  ensure correct and consistent data at every touchpoint.

Our data quality solutions range from:

Enterprise Data Quality means moving beyond a limited, application-centric view of data quality to ensuring consistent application of data governance policaies and standards across all applications in your architecture.

15 years data quality experience

Our consultants have delivered data quality solutions for a range of data areas - including Product/Materials Data, Financial Systems, Real Estate Management, HR/Employee Data, Supplier Data, Customer Data and Name & Address Data.

We have worked in a number of industries - including banking, insurance, government, telecommunications, hospitality, mining and manufacturing

We understand the complexities of managing African data - including multiple languages, minimal standards and a lack of reference data and our methodologies address these complexities for best results.

Whatever your data quality problem, we provide a practical solution:

  • Once off Data Audit or ongoing Data Quality metrics
  • Once off Data Migration
  • Address Validation and Geocoding
  • Data Governance and Quality for Regulatory Compliance
  • Automated data cleanisng processes and services
Free whitepaper: Project manager's guide to data quality
Certify in Data Quality
Case Study: Absa Capital client static
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Data governance
Master Data Management
Data Engineering
Data Literacy

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