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Solidifying Absolute and Relative Data Quality with Master Data Management

In this contributed article, editorial consultant Jelani Harper highlights that contrary to popular belief, data are not the oil, fuel, energy, or life force coursing through the enterprise to inform decision-making, engender insights, and propel timely business action rooted in concrete facts. Data quality is.

2021 Trends in Data Strategy: Doing More With Less

In this contributed article, editorial consultant Jelani Harper suggests that organizations seek technology to do more with less during today’s turbulent business conditions. Data strategy elucidates what ‘more’ entails, whether it really can be achieved with less, and the longstanding consequences of leveraging various technologies to this end. It requires companies to uncover the intricacies of proactive and reactive approaches to improve what they do poorly, enabling them to achieve what they currently can’t.

Data Quality: Fixing Typos is a $4.5 Billion Market

In this contributed article, Kenn So, an investor at Shasta Ventures, believes that even after years of advances in data engineering and “artificial intelligence”, data quality, particularly structured tabular data, remains a big problem. In fact, it is a growing problem. But that is also why it is an exciting problem to solve.

Untangling Seven Myths and Truths about Data Quality

Infogix, a leading provider of data management tools and a pioneer in data integrity, debunked seven popular data quality myths that are doing businesses more harm than good. In order to solve data quality challenges that plague organizations today, businesses must understand the most prevalent data quality misconceptions. Here is the truth behind the seven most common data quality myths.

New Syncsort Trillium Software Delivers Data Quality at Scale

Syncsort, a leader in Big Iron to Big Data software, unveiled Trillium DQ for Big Data, providing best-in-class data profiling and data quality capabilities in a single solution, designed to work natively with distributed architectures. Using Trillium DQ for Big Data, organizations can apply data quality to large volumes of enterprise data on-premises or in the cloud, delivering trusted data for business insights and realizing the full potential of emerging technologies to meet their data governance and compliance requirements.

Information Builders Helps Companies Assess Bottom Line Impact of Data Quality Initiatives With Latest Version of Omni-Gen™ Data Quality Edition

Information Builders, a leader in business intelligence (BI), analytics, and data management solutions, unveiled the latest version of its Omni-Gen™ Data Quality Edition. The unified platform combines powerful data integration and cleansing technologies to ensure data accessibility, consistency, accuracy, and timeliness, and includes a monetization feature that enables companies to assess the impact and potential ROI of data quality initiatives.

Naveego Unveils Cloud-Based Data Quality and Master Data Management Solutions to Proactively Detect and Eliminate Data Quality Issues Across Enterprise Systems

Naveego, an emerging leader of cloud-based Data Quality (DQS) and Master Data Management (MDM) solutions, announced today a new release of Naveego DQS. The company continues to innovate and design a new era of DQS and MDM products to proactively manage, detect and eliminate data quality issues across enterprise systems.

Building a Business Case for Data Quality

The infographic below was developed by Experian Data Quality as a by product of their recent survey of 402 management-level professionals. The infographic covers how managers feel about data. Data is your organization’s most valuable asset, and having good data quality is necessary for sustained success.

Paxata & TDWI Survey Provides Insight into Factors Driving Self-Service Data Preparation Growth

Paxata, provider of the enterprise-grade self-service data preparation platform, announced the results of an industry study published by TDWI and sponsored by Paxata about the self-service data preparation market and its emerging role in accelerating the transformation of data to information.

Blazent Study Reveals Disconnect Between Data Quality and Enterprise Readiness to Pursue Machine Learning and Analytics

Blazent, a leader in IT data quality management, released new findings of its report, The Role of Data Quality Management in Machine Learning and Predictive Analytics, conducted in partnership with 451 Research.