Integrating a Data Governance program into an organization not only means adding some software, but more dramatically, it means changing the workplace culture. Data Governance broadly describes the policies and procedures used to collect, organize, and manage data. It supports improved data analytics, which, in turn, promotes better operations management and better decision-making. Data Governance […]
Data Quality Metrics: How to Measure Success
Data Quality metrics are a measuring system that allows the “quality of data” to be evaluated. Data Quality metrics can be used to determine how useful and relevant data is, and it helps to separate high-quality data from low-quality data. It is much easier—and safer—to make business decisions based on reliable information. Poor information (based […]
Data Management 101
Data has the potential to provide useful and necessary information when making important business decisions. To ensure management and staff have the right data for decision-making, companies must invest in Data Management solutions that improve visibility, reliability, security, and scalability. In today’s digital economy, organizations are collecting and accessing massive amounts of data. Storing accurate, […]
How Does Data Management Drive Efficiency for Organizations?
Data-driven analytics continue to deliver sophisticated solutions for manufacturing efficiency, early disease detection, and smart capabilities building in workplaces. Thus, industry operators and leaders continue raise their expectations and demands from data technologies with every passing year. Brent Gleeson of Forbes, who regularly contributes about organizational excellence, warns that in spite of having the best […]
Maturing Business Intelligence with Data Governance
Data Governance (DG) ensures that enterprise data, the most valuable business asset, is preserved and used in the most efficient and safest manner. That said, Data Governance puts immense demands on organizational policies, processes, technologies, and lastly on accountable staff to develop an executable framework, from its core architecture to implementation stages. Enterprise Data Governance […]
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 […]
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 […]
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 […]
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 […]