Putting data quality management into the hands of business users.

The people who know the most about the data in their organizations are the people who use it everyday: the marketing teams; the supply chain managers; risk and compliance officers; logistic and warehousing staff. All these people have one thing in common; they’re business experts, not necessarily technologists.

Instead of requiring a user to learn how to query in SQL or other scripting languages, dn:Director comes with an easy-to-use family of simple ‘processors’, a palette or library of tools that can be dragged onto a canvas to build business processes from simple data profiling to complex data re-engineering. The tools are represented as simple icons and these can be chained together to create solutions to specific data quality problems.

Users access a single, consistent and intuitive graphical user interface for every data quality task, optimized to produce fast results. Users with no previous data quality experience can deliver results within minutes, and experienced users can quickly define and refine processes, business rules, and reference data using:

• A simple graphical drag-and-drop interface;
• Data-led approach to business rule definition;
• Use of wizards to lead users through tasks;
• Extensive use of defaults to minimize user input;
• Multi-level undo/redo of the graphical process definition;
• Visual indicators for issues requiring user attention.

There are a full range of processors organized into different groups for:

• Profiling and analysis – covering pattern, data type, maximum/minimum and statistical profiling;
• Transformation – processors aimed at making it easy for you to improve data through cleansing, restructuring, standardizing, or enhancing;
• Parsing – a way to tag or describe data that turns semi-structured or poorly structured data into usable assets;
• Phrase profiling – a unique way to understand text-based data that identifies the key information buried in large datasets which when used with Datanomic’s leading parsing technology delivers unprecedented insight into your data;
• Matching – for deduplication, consolidation, Customer Data Integration (CDI) and Master Data Management;
• Reporting – using dn:Dashboard to provide highly flexible views on your organization’s data quality.