Data ethics — the collection and use of data in an ethical manner — can be combined with Data Governance and machine learning. Data ethics places a strong emphasis on the behavior of people or organizations as they gather or distribute data. Laws become necessary when some people chose to ignore ethical behavior. At its […]
Graph Databases: An Overview
The concept of graph databases traces back to Leonhard Euler. Euler was an 18th century Swiss mathematician who made several important discoveries in mathematics, such as infinitesimal calculus. In solving the “Seven Bridges of Königsberg” problem in 1736, Euler laid the foundations for graph theory. (He also got a fun shout-out in Hidden Figures when […]
How to Become a Data Analyst
Data analysts translate raw data into useful insights, and they are also responsible for gathering the data, organizing and analyzing it, and then presenting their findings. Data analysts are in high demand, and there aren’t enough data analysts to fill all the positions. People with the right skills can fill these positions. A degree is […]
Data Management Technology: Trends and Challenges
The last two years have been significant in the growth of Data Management technology, mainly because of the pandemic and associated factors. Almost overnight, large, medium, and small organizations located far and wide, suddenly realized the importance of online business models and hosted Data Management services. The coronavirus gave the final push to global enterprises […]
Expanding Data Governance into the Future
Shortened time frames to leverage business insights and navigate data privacy and ethics call for the next generation of Data Governance (DG). This DG describes a collaborative, thoughtful, long-term framework consisting of processes managing trusted data assets across the organization. Kelle O’Neal, Founder, and CEO of First San Francisco Partners, sees a need to make firms […]
Data Science Best Practices
When done right, Data Science delivers a lot of measurable values like improved products and services, enhanced customer experiences, sales growth, new business developments channels, and overall business efficiency. However, according to most reliable industry publications, most Data Science projects fail because the Data Science best practices are not followed. Why Do Businesses Need Data […]
Advances in Data Quality Management
Data Quality Management (DQM) is always advancing, not necessarily in terms of technological leaps, but in terms of being used more as a result of shifting business patterns. DQM is being used more and more, as organizations shift to a digital format. Other reasons for the increased use of DQM range from the lowering of […]
AI and Data Strategy: Where Do They Intersect?
Artificial Intelligence (AI) has penetrated nearly every industry because of its ability to improve business outcomes – from employee productivity to decision-making to customer experience. It’s no surprise that organizations large and small are embracing AI. That being said, starting AI without a strong Data Strategy in place can do more harm than good. Data Strategy refers […]
The Data Storytelling Toolbox: Data Management, Digital Transformation, and Master Data
Scott Taylor believes in data storytelling. More to the point, he believes that telling a “data story” leads to Data Governance success. Taylor is a consultant and “Data Whisperer” at MetaMeta Consulting, and author of the book, Telling Your Data Story. In his presentation “Data Storytelling for Data Management” at DATAVERSITY®’s Enterprise Data World Conference, […]
The Mainstreaming of Multi-Cloud: Good or Bad?
The business world is increasingly reaching out to the public cloud for stable data center operations at optimized cost but at scale. In the recent years, managed services and multi-cloud consultancy firms have cropped up to reduce the chances of multi-cloud implementation failures, but the general lack of deep understanding and skilled employees are still […]