As 2021 draws to a close, we here at DATAVERSITY HQ want to take some time to reflect on the highlights (and lowlights) of this year. What kinds of content made you jump for joy? Which Data Management topics most helped data people succeed in and advance their careers? With in-person events on hold for […]
Data Modeling Trends in 2022
A data model should show the relationships that exist between various customers, concepts, products, among many. Data Modeling describes the creation of a visual representation (a chart or diagram) of a data system, or parts of that system. It is used to display and communicate connections between objects/concepts and shows their relationships. The goal of […]
Advances in Data Architecture
The continuous growth of data has led to large corporations investing heavily in technologies around large data volumes, allowing them to gain useful business intelligence that was unavailable to their smaller competitors. The evolution of public clouds has made big data technologies accessible to small businesses and startups. By using new advances in Data Architecture, […]
Updating Data Governance: Set Up a Cohesive Plan First
Enterprises are taking Data Governance—planning and programming to control and secure data—more seriously. In a recent DATAVERSITY® Trends in Data Management Report, 76 percent of organizations have a Data Governance program in place or such a plan for the future. This makes sense as companies focus more on security and business growth. Data breaches have […]
A Brief History of Cloud Computing
In 1963, DARPA (the Defense Advanced Research Projects Agency) presented MIT with $2 million for Project MAC. The funding included a requirement for MIT to develop technology allowing for a “computer to be used by two or more people, simultaneously.” In this case, one of those gigantic, archaic computers using reels of magnetic tape for […]
Impact of Data Quality on Big Data Management
As the available industry literature suggests, Data Quality (DQ) is seriously hindering the success of many big data projects. However, it is apparent that without an organized movement in favor of Data Quality for big data, nothing will actually happen to change the current scenario. In an interview with the CEO of Informatica, Anil Chakravarthy, […]
A Plan for Developing a Working Data Strategy Scorecard
A Data Strategy isn’t a “one and done” activity. It’s an ongoing program, built around measurable business goals, that provides a means to identify and refine deliverables on a regular basis. As business needs change, it must evolve, focusing on components where investment is practical. An initial Data Strategy shouldn’t include everything: aiming for “good […]
Business Intelligence and Analytics Trends in 2022
The industry giants – Microsoft, Google, IBM, Amazon, and Oracle – are still leading in the global analytics market shares. Microsoft, Amazon, and Oracle are additionally outperforming the market for all other vendors. However, it’s interesting to note that the battle among the top analytics vendors is not over “sophisticated algorithms,” but over Data Quality. […]
Data Management Platform vs. Customer Data Platform
A Data Management Platform (DMP) is a storage location for all types of data – all the way from contact lists to transactional data. The data stored in a DMP is analyzed for business insights and customer intelligence. DMPs generally collate data from various business systems, such as ecommerce sites, social sites, or a CRM. […]
Data Governance, Data Leadership or Data Architecture: What Matters Most?
Robert Seiner and Anthony Algmin faced off – in a virtual sense – at the DATAVERSITY® Enterprise Data World Conference to determine which is more important: Data Governance, Data Leadership, or Data Architecture. Initially planning to play the theme from “Rocky” as they emerged from backstage wearing capes, these two heavy hitters instead battled it […]