During digital transformation, one of the most formidable challenges organizations face is resistance to change and the complexities of effective change management. Human nature often gravitates toward familiarity and routine, making any deviation a source of discomfort. This psychological inertia can stem from various factors including fear of job loss, perceived inadequacy in new skill […]
Improving Data Quality with Data Stewardship
To get value from data, data stewards must understand and apply business requirements. When business ambiguity arises about how to best serve data stakeholders, data stewards need to know how to find out this information and with whom to speak. By doing so, stewards can align fit-for-purpose data with business needs and improve data quality. Data stewards understand […]
What Is Data Trust and Why Does It Matter?
A batch processing system fails on the eve of a company’s deadline for monthly reports, threatening the accuracy of its financials. One of the two systems powering the dashboard of a global supply chain company crashes, and a manager overbooks a transport ship because it displays inaccurate data, causing a costly delay in a customer’s […]
Women in Data: Meet Traceable Founding Engineer Prerana Singhal
The latest installment in our Q&A series with women leaders in data features Prerana Singhal, founding engineer at Traceable. (Read our previous Q&A here.) Prerana Singhal loves a good puzzle, so it’s no surprise that she began her career as a coder, with an interest in deep learning and natural language processing. A founding engineer at Traceable, […]
Data Ethics: New Frontiers in Data Governance
Would you feel comfortable serving as a Data Governance consultant for an organized crime family … but not for a brokerage with tax fraud in its past? Could the use of ransomware be considered socially acceptable if its demands benefitted needy children? These hypotheticals might sound outrageous – indeed, they are meant to be provocative – but […]
Foundations of Forensic Data Analysis
Forensic data analysis involves collecting, modeling, and transforming data to identify and highlight potential risk areas, detect non-standard or fraudulent activities that use data, and set up internal controls and processes to minimize a variety of risks. Data forensics can also be used in instances involving the tracking of phone calls, texts, or emails traveling […]
Data Storytelling 101
Humans are inherently wired for stories. Stories captivate our imaginations, simplify complexity, and provide context – and turn abstract figures into relatable scenarios. Data storytelling takes advantage of this human passion. In data storytelling, the message is conveyed through engaging narratives, making the data insights inspire a high level of trust among the audience. It empowers stakeholders […]
Evaluating Enterprise Data Literacy
Any organization that aims toward complete digital transformation must move toward enterprise data literacy. So, what exactly is data literacy? Gartner defines data literacy as: “The ability to read, write and communicate data in context, including an understanding of data sources and constructs, analytical methods and techniques applied – and the ability to describe the […]
How to Build a High-Performance Analytics Team
When most people think of analytics, they tend to picture a rigidly left-brained data scientist more at home with computer programming than creativity. But analytics leader and author John K. Thompson challenges such a notion. During his keynote presentation at DATAVERSITY’s Enterprise Analytics Online event, he proposed instead that the members of an analytics team can be […]
What Does It Mean to Be Data-Driven?
Businesses succeed or fail based on their ability to make sound decisions. Every aspect of an organization’s operation, from the simplest to the most complex, is the result of a series of decisions, each building on the next, from the chairs in the employee lunch room to the million-dollar marketing campaign that will make or […]