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A Brief History of Data Quality

The term “Data Quality” focuses primarily on the level of accuracy possessed by the data, but also includes other qualities such as accessibility and usefulness. Some data isn’t accurate at all, which, in turn, promotes bad decision-making. Some organizations promote fact-checking and Data Governance, and, as a consequence, make decisions that give them an advantage. […]

MDM vs. CDP: Which Does Your Organization Need?

Most, if not all, organizations need help utilizing the data collected from various sources efficiently, thanks to the ever-evolving enterprise data management landscape. Often, the reasons include: 1) Data is collected and stored in siloed systems; 2) Different verticals or departments own different types of data; 3) Inconsistent data quality across the organization. Implementing a central […]

Data Discovery 101

Data discovery deals with extracting useful information from data and presenting it in a visual format that is easily understood. The types of useful information discovered during the process range from finding patterns in human behavior to gaining insights about data glitches to answering highly specific business questions. Using data taken from a variety of […]

Mind the Gap: The Data Chasm

Welcome to the inaugural edition of Mind the Gap, a monthly column exploring practical approaches for improving data understanding and data utilization (and whatever else seems interesting enough to share). This month, we start not with a gap but with a chasm – one that’s at the core of a bewildering paradox. We continue to see […]

Baffle Announces Enterprise-Grade Data Security for PostgreSQL

According to a new press release, Baffle has introduced enterprise-grade data security for Amazon Relational Database Service (Amazon RDS) and Amazon Aurora, addressing the need for organizations to maintain compliance with privacy regulations while handling sensitive data across locations. Traditional methods like transparent data encryption (TDE) are no longer sufficient, especially with the evolving demands […]

Data Governance Metrics: How to Measure Success

The use of Data Governance metrics as a measurement system promotes the efficient use and management of data.  Establishing key performance indicators (KPIs) is normally the first step in monitoring and measuring the effectiveness of a Data Governance program. These indicators allow organizations to assess and adjust their Data Governance strategies. A measurement system allows […]