Although algorithmic decision-making has become increasingly vital for many businesses, there are growing concerns related to transparency and fairness. To put it mildly, the concern is warranted. Not only has there been documentation of racial bias in facial recognition systems, but algorithmic decision-making has also played a role in denying minorities home loans, prioritizing men during hiring, […]
A Brief History of Data Management
Data Management is the organization of data, the steps used to achieve efficiency, and gather business intelligence from that data. Data Management, as a concept, began in the 1960s, with ADAPSO (the Association of Data Processing Service Organizations) forwarding Data Management advice, with an emphasis on professional training and quality assurance metrics. Data management has […]
Data Quality Dimensions
Data Quality dimensions are useful concepts for improving the quality of data assets. Although Data Quality dimensions have been promoted for many years, descriptions of how to actually use them have often been somewhat vague. Data that is considered to be of high quality is consistent and unambiguous. Poor Data Quality results in inconsistent and […]
Overcoming the Data Decision Gap in 2022
As organizations enter a new year, leaders across industries are increasingly collecting more data to drive innovative growth strategies. Yet to move forward effectively, these organizations need greater context around their data to make accurate and streamlined decisions. A recent Data in Context research study found that more than 95% of organizations suffer from a data decision […]
Better Data Modeling with Lean Methodology
The process used today in systems development started with principles developed for assembly lines in the 1950s, when manufacturers wanted a more disciplined approach to producing goods and services.Products would come off an assembly line, they’d be inspected, defects would be found, and would be sent back to rework or start from scratch. This process […]
Data Governance Without Security Leaves Sensitive Data Exposed
“Data Governance” is such an interesting term. As data started becoming more critical to business in the last few years, this idea was introduced to define the business processes necessary to comply with regulatory requirements. But even more recently, heightened regulatory attention with GDPR and CCPA in 2018, persistent PII data breaches, and data centralization across enterprises have created […]
Why You Should Adopt a Vendor-Neutral Data Management Approach
It’s that time of year again: If you listen closely, you will hear the constant rhythm of IT organizations in every industry collectively grinding their proverbial gears as they hash out the optimal data management strategy to deal with the ever-increasing mountains of invaluable data stacking up in their data centers or in the cloud. […]
Data Governance Trends in 2022
Way back in the early 2000s, Data Governance wasn’t really much of a thing. There were a few really early pioneers that were doing Data Governance, and they were laying the groundwork, but governance was not a recognized capability. Companies who did see some value in Data Governance were primarily focused on the benefit to […]
The F-Word That Really Matters
We now exist in a post-privacy world. Our expectations for proper curation and care of personal data have gone out the window during the global pandemic where Big Tech, Big Pharma, and Big Government have repeatedly acted more like Big Brother without significant objection from the public. Internet trolls, deceptive sales practices, and data breaches […]
Data Privacy Has Become a Human Right
A deep history of pivotal moments gave root to our modern idea of human rights. Ancients like King Hammurabi set in stone (literally) some parts of the idea that every person has basic rights and freedom. Along the way, the Magna Carta, English Bill of Rights, Virginia Declaration of Rights, and U.S. Bill of Rights […]