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
February 28, 2020 by
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
June 30, 2019 by
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
December 21, 2017 by
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
August 29, 2017 by
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
November 27, 2016 by
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
July 16, 2016 by
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
May 14, 2016 by
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.
Data Quality, It’s Everybody’s Problem
September 11, 2014 by
In this special guest feature, Andrew Herman, President of CorSource, addresses data quality, a challenge facing all companies in the age of mass data collection. “Successfully tackling data quality is imperative, and achievable with a progressive, methodical approach. Your competitors are struggling with this very issue, and the question is whether this is going to remain your problem, or just theirs.”
