Understand

In conjunction with a structured methodology, dn:Director provides a clear understanding of the relationship between data and business performance. Eliminating guesswork, it avoids time-consuming manual coding and expensive elapsed project time.

• Requiring no programming or detailed database knowledge, dn:Director’s drag-and-drop graphical interface allows for total understanding of data in its current state. This is prior to overlaying individual rules to determine the data’s fitness for purpose.
• dn:Director enables business teams to profile and analyze large volumes of data from databases, spreadsheets and flat files with ease.
• Providing a single staging area that holds gathered statistics, dn:Director leaves the data source unaltered.

Performing a systematic review to detect key quality metrics, missing data, incorrect values, duplicate records and inconsistencies, dn:Director will help you understand the true nature of your data.

Improve

Once the data is understood and the business context has been collated, dn:Director can immediately help solve these problems by re-structuring, standardizing, cleansing, enriching, de-duplicating and reconciling your data.

Highly scalable and presented through a process diagram, dn:Director can handle data from any market sector, application domain or business process.

Solving data quality issues using a range of powerful and configurable functions from the Tool Palette that can help automate even the most complex data-cleansing tasks, it generates repeatable and reliable results fast.

Protect

Why is it that so many organizations carry out a data cleansing exercise and then forget all about the quality of their data until it becomes a costly problem again?

Maintaining and continuing to improve the quality of your data is vital to sustaining user and customer confi dence and increasing the value that you can derive from your information assets. You need to protect your enterprise information from degradation due to erroneous, incomplete or duplicated data. The ability to create real-time data filter is critical, so dn:Director helps prevent errors at the point of entry.

Control

dn:Director can also track and publish data quality statistics on an ongoing basis, reporting through the web-based dn:Dashboard. Users can configure standard metrics to monitor the progress of data initiatives, data migration projects or any other data-centric program. Individual dn:Dashboard users can create their own indices, alerts and traffic-light indicators according to their individual and departmental priorities.