Data Quality Management

"FinScore’s Data Quality Methodology helped us to quantify the impact of data quality in terms of enterprise Key Performance Indicators (KPI), which is essential to bring this important topic on top of executive’s priorities. A powerful action roadmap towards durable enhancement of information quality was generated so that each step represents clearly quantified added business value." (Head of Customer Lifecycle Management, Swisscom)

The Challenge

CIOs face the challenge of cost reductions, IT outsourcing, and major IT platform migrations. At the same time, business users expect an ever increasing quality of IT services. Transparent monitoring of information quality over time and across the organization therefore becomes key to aligning IT resources and managing information quality to achieve the company’s strategic objectives. Properly designed management dashboards help getting CIOs back in control.

Our Solution

Unlike other data quality approaches in the marketplace we take a top-down, non- technical and business oriented view on information quality management and enable our clients to quantify the impact of information quality on the organization’s key performance indicators (KPI). We provide answers to questions such as: How does the poor quality of my customer address quality impact customer churn rates? How is the unavailability of information at our point of sales influence customer service quality?

FinScore’s solution measures the quality of information, considers the business user perspective, quantifies the impact of quality on KPIs, and helps prioritize improvements to applications and databases to achieve company strategic goals. Our information quality management process gives a clear picture on the current information quality levels, quantifies the impact of bad information on the company and delivers an action plan (roadmap) to continuously enhance information quality aligned with the achievement of company objectives. Features of our solution include:

  • Accurately measure the cost of bad quality information.
  • Identify and quantify opportunities to increase information quality.
  • Set priorities for corrective measures based on a KPI  perspective.
  • Continuously monitor the information quality.



  • Information Quality Roadmap.
  • Increase productivity and reduce costs.
  • Align information quality management and business  objectives.
  • Monitor IT outsourcing and platform migrations.

Interested? Please download our flyer about data quality management solution.