DataFlux

After conducting an in-depth inspection of your corporate information in the data profiling phase, data quality is the next critical step in the DataFlux methodology.  With data quality capabilities from DataFlux, you can start to improve data quality throughout the entire enterprise by creating business rules to correct, standardize and validate your data.

The impact of data quality can affect any facet of an organization. Many companies today cannot rely on the information that serves as the very foundation of their primary business applications. Inaccurate or inconsistent data can hinder your company's ability to understand its current - and future - business problems. This leads to poor decisions that can cause negative results, including lost profits, operational delays, customer dissatisfaction, compliance violations and much more.

Maximize the value of your data

DataFlux data quality products encompass a number of features, helping you:

• Plan and prioritize a data correction initiative to begin to build more consistent, accurate and reliable data across business systems
• Parse data into components to help identify and resolve problematic data
• Standardize, correct and normalize data to create a more unified view of corporate information
• Verify and validate data accuracy to improve the overall accuracy of customer records, product data and other information
• Apply business rules across the enterprise to ensure all corporate data reflects business needs

Improving the quality of your data allows you to build usable, actionable information that provides an accurate “snapshot” of your organization's effectiveness. Better data helps you understand your business environment and allows you to maximize profitability and reduce costly operational inefficiencies.

The next step: Data Integration

After you have corrected, standardized, validated and verified data from your data sources, you can move on to the next stage, data integration. This stage helps you link data across sources and aggregate information from a variety of systems.