Redpoint Global Positioned in Gartner Magic Quadrant for Data Quality Tools for Fifth Consecutive Year

Todd Hinton | December 15, 2016

gartner-mq-dq-featuredWe’re proud to announce that Gartner has positioned Redpoint Global in the Data Quality Tools Magic Quadrant for the fifth year in a row. Gartner evaluated 17 vendors on their ability to execute and completeness of vision.

You can view the full report here.

The Gartner report defines data quality assurance as a discipline focused on ensuring that the condition of data is fit for use in existing business operations and emerging digital business scenarios. As a discipline, data quality assurance covers much more than technology. It also includes: processes for monitoring, measuring, reporting, and remediating data quality issues; and links to broader information governance activities via policies specific to data quality. Per Gartner, the market definition for data quality tools has been updated in 2016 to reflect market dynamics driven by emerging adjacent technology developments as well as the growing maturity of the market. The data quality tools market comprises vendors that offer stand-alone software products to address the core functional requirements of the discipline, which are: which include matching, monitoring, data profiling, and parsing and standardization.

Data quality is a vitally important component of a modern marketing strategy, especially with the proliferation of channels in this era of empowered customers. That’s why we’ve focused on ensuring Redpoint Data Management™ provides powerful data quality routines and is able to ingest, cleanse, and normalize data from various sources easily and effectively with a minimum of training.

Redpoint has been positioned in the data quality Magic Quadrant every year since 2012, making this year our fifth appearance, and the first in which we achieved the highest position for the ability to execute in the niche players quadrant.

We leverage a no-code approach, eliminating the data management skills gap which limits many companies from leveraging the tools needed for data quality success. Our solution’s data quality routines execute in an automated production flow directly in Hadoop, allowing organizations to reduce latency between aggregating data and leveraging it in analytics. Redpoint believes our customers appreciate the value we provide with a quick return on investment and broad product functionality, and we’re confident that we’ll continue to grow in market and mindshare.

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Todd Hinton
Todd Hinton

As VP of Engineering, Data Management for Redpoint Global, Todd Hinton leverages more than 20 years of technology management and software development experience to his oversight of Redpoint Global’s data management product offerings, including master data management and the Redpoint Customer Data Platform. Connect with Todd on LinkedIn and Twitter.