2011 Gartner Magic Quadrant for Data Quality Tools

Magic Quadrant for Data Quality Tools http://www.gartner.com/technology/streamReprints.do?id=1-16T6G5P... Magic Quadrant for Data Quality Tools 28 July 2011 Ted Friedman, Andreas Bitterer Research Note G00214013 Demand for data quality tools remains strong, with more focus on deployments that support information governance programs, master data management initiatives and application modernization efforts. Key trends include convergence with data integration tools and diversification of deployment models. What You Need to Know Vendors Added or Dropped The data quality tools market continues to experience both substantial growth and volatility. The high-activity We review and adjust our inclusion use cases of business intelligence (BI) and master data management (MDM) drive substantial demand, with criteria for Magic Quadrants and information governance initiatives rapidly increasing in number. Large vendors in related markets continue to MarketScopes as markets change. As a enter this space by acquiring smaller or specialist providers (for example, the recent acquisition of Datanomic result of these adjustments, the mix of by Oracle), and new vendors continue to emerge (in this iteration of the Magic Quadrant, new competitors such vendors in any Magic Quadrant or as Talend and Ataccama reflect this trend). The data quality tools market continues to converge with the related MarketScope may change over time. A markets for data integration tools and MDM products, as market demand increasingly trends toward broader vendor appearing in a Magic Quadrant data management and governance capabilities spanning these disciplines. This is also reflected in the vendor or MarketScope one year and not the landscape, with a rapidly growing number of providers competing in more than one of these currently discrete next does not necessarily indicate that markets. we have changed our opinion of that vendor. This may be a reflection of a When evaluating offerings in this market, organizations must consider not only the breadth of functional change in the market and, therefore, capabilities (for example, data profiling, parsing, standardization, matching, monitoring and enrichment) changed evaluation criteria, or a relative to their requirements, but also the degree to which this functionality can be readily understood, change of focus by a vendor. managed and leveraged by business resources rather than IT. In addition, they should consider how readily it can be embedded into business process workflows or other technology-enabled programs or initiatives such as Evaluation Criteria Definitions MDM and BI. In keeping with significant trends in data management, business roles such as data stewards will increasingly be responsible for managing the goals, rules, processes and metrics associated with data quality improvement initiatives. Other key considerations include the degree of integration of the range of functional Ability to Execute capabilities into a single architecture and product, and the available deployment options (traditional on-premises Product/Service: Core goods and software deployment, hosted solutions and software as a service [SaaS] or cloud-based). Finally, given the services offered by the vendor that current economic and market conditions, buyers must deeply analyze non-technology characteristics, such as compete in/serve the defined market. pricing models and total cost footprint, as well as the size, viability and partnerships of the vendors. This includes current product/service capabilities, quality, feature sets, skills, Use this Magic Quadrant to understand the data quality tools market and how Gartner rates the leading vendors etc., whether offered natively or and their packaged products in that market. Draw on this research to evaluate vendors based on a customized through OEM agreements/partnerships set of objective criteria. Gartner advises organizations against simply selecting vendors in the Leaders quadrant. as defined in the market definition and All selections are buyer-specific, and vendors from the Challengers, Niche Players or Visionaries quadrants could detailed in the subcriteria. be better matches for your requirements. Overall Viability (Business Unit, Return to Top Financial, Strategy, Organization): Viability includes an assessment of the overall organization's financial health, Magic Quadrant the financial and practical success of the business unit, and the likelihood of the Figure 1. Magic Quadrant for Data Quality Tools individual business unit to continue investing in the product, to continue offering the product and to advance the state of the art within the organization's portfolio of products. Sales Execution/Pricing: The vendor's capabilities in all pre-sales activities and the structure that supports them. This includes deal management, pricing and negotiation, pre-sales support and the overall effectiveness of the sales channel. Market Responsiveness and Track Record: Ability to respond, change direction, be flexible and achieve competitive success as opportunities develop, competitors act, customer needs evolve and market dynamics change. This criterion also considers the vendor's history of responsiveness.