Table of Contents
- Market Categories and User Segments
- Key Criteria Comparison
- GigaOm Radar
- Vendor Insights
- Analysts’ Take
- About Andrew Brust
Data quality reflects the completeness, accuracy, reliability, and related attributes of data. There are numerous platforms for managing data quality designed to suit a range of business requirements—some dedicated to detection and others expanding into remediation, for example—and wading through the options without guidance can be overwhelming. This report gives enterprise buyers a framework and jumping off point for evaluating offerings that address both the detection and remediation of data quality.
Most organizations depend heavily on data to guide their decisions. As data volumes increase in general, the volume of bad data—in other words, data with low quality—increases commensurately. Businesses of every size, but especially at the enterprise level, can benefit significantly from a data quality platform that not only detects data quality issues but also takes charge and remediates them, aided by automation.
Data remediation can be implemented with a variety of techniques, such as data cleansing, standardization, labeling, parsing, and deduplication. These are typically out-of-the-box capabilities, but are configurable based on business needs. Data quality remediation capabilities have multiple benefits and can expedite the achievement of a high level of data quality overall. Since data quality assessment is needed to offer remediation, all vendors in this Radar report also provide capabilities that help assess data and validate its quality.
Data quality detection and remediation can be viewed as part of a data project’s workflow, with the objective of detecting and addressing data quality issues preemptively, before low-quality data ends up in destination systems.
All vendors reviewed in this Radar report provide a unified environment for data quality detection and remediation. Unlike vendors that focus on detection only, these platforms invest heavily in helping users solve data quality issues faster. The vendor platforms highlighted in this report can work well for businesses that want to leverage technologies whose efficacy hinges on data quality, including internet of things (IoT), artificial intelligence (AI), and automation.
How to Read this Report
This GigaOm report is one of a series of documents that helps IT organizations assess competing solutions in the context of well-defined features and criteria. For a fuller understanding, consider reviewing the following reports:
Key Criteria report: A detailed market sector analysis that assesses the impact that key product features and criteria have on top-line solution characteristics—such as scalability, performance, and TCO—that drive purchase decisions.
GigaOm Radar report: A forward-looking analysis that plots the relative value and progression of vendor solutions along multiple axes based on strategy and execution. The Radar report includes a breakdown of each vendor’s offering in the sector.
Solution Profile: An in-depth vendor analysis that builds on the framework developed in the Key Criteria and Radar reports to assess a company’s engagement within a technology sector. This analysis includes forward-looking guidance around both strategy and product.