As a niche player in the 2020 Data Quality Magic Quadrant, Redpoint focuses on data quality for customer experience management. Gartner frames the importance of this marketplace writing, “Trusted, high-quality data is a vital component for the success of digital initiatives. Organizations are accelerating the speed of their digital transformations by introducing digital products, adopting cloud computing, modernizing their business processes and embracing distributed infrastructure to leave the data at edges.” In this year’s report, Redpoint was praised for customer satisfaction, ease of installation, upgrade and use, and overall performance and scalability.
In the Magic Quadrant, Gartner states, “Redpoint retains a loyal customer base and is among the highest-rated vendors in this Magic Quadrant for customer satisfaction. Some of the company’s reference customers comment that Redpoint has been a great partner for more than 10 years and have seen consistent improvement in Redpoint’s product features and collaborative efforts to meet their business requirements.”
The reference customers expressed strong satisfaction on ease of installation, deployment, and use – scoring among the highest of the 16 competitors. Customers especially highlighted user-friendliness telling Gartner that Redpoint’s automations were easy and intuitive. Redpoint also scored above the average for the performance and scalability of its data quality products, specifically in supporting real-time data processing in Hadoop environments with billions of transaction records.
Critical Capabilities Assessment of Data Quality Vendors
In the supplemental Critical Capabilities for Data Quality Solutions report, Gartner notes that Redpoint extends its platform beyond data quality, with capabilities for data integration and master data management. Redpoint’s approach is to seamlessly marry these customer data capabilities with machine-learning-based decisioning and intelligent optimization. As strengths of the solution, Gartner highlights customer feedback of core functionalities to support all data quality use cases, with Redpoint scoring 4.0/5.0 or higher in data integration, data migration, and AI/machine learning use cases.
The term “data quality” relates to the processes and technologies for identifying, understanding, and correcting flaws in data that support effective information governance across operational business processes and decision making. The packaged tools available include a range of critical functions, such as profiling, parsing, standardization, cleansing, matching, enrichment and monitoring.
Redpoint powers the resolution of messy, poorly normalized data sources into one, cohesive, clean, consistent Golden Record that can be operationalized to provide custom, real-time experiences at scale. The volume and cadence of data quality is possible with low latency and real-time decisioning, no matter the data source.
Of the nine Critical Capabilities evaluated in the research report, Redpoint received a score of 4.0/5.0 or above (considered Excellent by Gartner) in seven criteria. This includes the highest score for Parsing & Standardizing & Cleansing and Role-based Usability, and Redpoint was among the top scores for Matching & Linking & Merging, and Scalability & Performance. Of the seven use cases evaluated in the report, Redpoint received scores of 4.0 or more in six categories. We were also one of the highest-rated vendors for Analytics & BI, Data Integrations, Operational/Transactional Data Quality, and AI & Machine Learning.
Redpoint’s Perspective: Data Quality Matters for CX
While Redpoint is classified as a Niche vendor in the Gartner Magic Quadrant for Data Quality Solutions, at Redpoint, data quality is just one of many core competencies. Unlike other vendors evaluated in these data reports, we provide a technology platform that enables companies to orchestrate exceptional customer experiences – at scale – across any channel.
In that regard, we often compete against vendors that call themselves Customer Data Platform (CDP) – companies who in their marketing material claim to provide superior data management capabilities, including data quality. What is interesting is that Redpoint is the only CDP included in these recent research reports from Gartner.
Redpoint also is one of the only companies that is also ranked in the Multichannel Marketing Hubs Magic Quadrant who has prioritized data quality enough to take part in the data quality reports. Like any analyst report, these documents are only one tool used to research a vendor. Based on business objectives, functionality, use cases, and many other factors, the right solution for one company may not be ideal for yours. You should also evaluate other research and reviews to obtain a more complete understanding of competing options. We recommend you also consider: CDPi’s vendor comparison tool, the Gartner Peer Insights evaluations, and OVUM’s Market Radar report to name a few.
Readers interested in obtaining a copy of the 2020 Gartner Data Quality Critical Capabilities report, can download it here.
* Gartner Magic Quadrant for Data Quality 2020 by Melody Chien and Ankush Jain, published 27 July 2020 and Critical Capabilities for Data Quality Solutions, published 3 August 2020.
**Gartner does not endorse any vendor, product or service depicted in its research publication, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as a statement of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.