"Datanomic provides arguably the most flexible data quality product"

"Perhaps the most important distinguishing feature of dn:Director is that it is completely non-prescriptive when it comes to how you use its various functions. Traditional approaches to data quality have treated its various functions (profiling, analysis, cleansing and matching) as essentially separate (and siloed) applications. This results in data quality that is cumbersome, potentially slow and difficult to understand. From its inception, however, Datanomic has refuted this approach, insisting that you should be able to use any sub-function of data quality as and when you want to, so that you can implement your own data quality processes in a way that best suits your organisation, rather than having to adapt to a methodology forced upon you by the architecture of the data quality software."

Philip Howard, Research Director

"dn:Director offers users extensive, simple to use functionality
with great levels of flexibility"

"Butler Group believes that dn:Director's high level of flexibility and ease of application makes data quality processes easy to implement and very accessible to the user, thereby helping organisations speed up the Return on Investment."

"Datanomic’s approach with dn:Director is to bring together data quality functionality in a single unified platform. The different parts work together to provide extensive functionality without forcing a rigid and inflexible order of processing onto the user. Butler Group believes this to be a key differentiator of dn:Director from its competitors. Furthermore, users can collaborate with each other through projects that are set up in dn:Director and assign specific tasks to team members for completion."

"Butler Group considers dn:Director to be an easy-to-use and comprehensive data quality management tool. It supports the premise of starting small and expanding as an organisation’s knowledge and capability increases. These attributes enable users to develop a data quality capability fast and gain equally rapid benefits from the deployment. We, therefore, have no hesitation in recommending a closer examination of the product."

Sarah Burnett, Butler Group

"The challenge for data and information quality is that it's
not a specific application, it's a function of almost every application,
if information lacks quality, then it's not really information."

"One of the lessons of CRM is that you can buy a shiny new CRM system and still miss the customer; to get the customer, what you need is information quality. That's what IQ software comes in ... information quality has moved from the back end data warehouse to all the customer touch points."

Lou Agosta, Forrester Research

dn:Director Positioned in Magic Quadrant for Data Quality Tools, 2007

"Datanomic has put together a sophisticated set of capabilities
to support complicated data quality projects."

"The process-centric approach, underpinned by an intuitive and powerful process definition environment and a rich set of out-of-the-box tasks and templates, simplifies what is often a manually intensive, technical activity. The company has also recognised the collaborative nature of such projects, providing an environment which facilitates the sharing of expertise. These facilities provide for significant flexibility but this does not come at the expense of control, given dn:Director’s support for version control and lifecycle management."

Neil Macehiter, Macehiter Ward-Dutton