Data Strategy and Business Intelligence aren’t really about data; they’re about the way data is used. The end goal isn’t more silos, with a team that owns the data, the process, and its value. The end goal is a data-driven culture where everyone sees the value in data, understands the importance of collecting good data, […]
Getting in Front on Data: Enhance Data Quality for All Your Data Roles
Dr. Thomas C. Redman, the Data Doc and President of Data Quality Solutions, has written another book that tackles the same issue his firm regularly deals with: Data Quality. Joining his previous works, which include Data Driven: Profiting from Your Most Important Business Asset and Data Quality: The Field Guide, is Getting in Front on Data. […]
IDERA Drives Business-Driven Data Architecture
Today’s enterprise IT environment most likely consists of a plethora of different database platforms, all of which must be supported across the lifecycle. How to streamline managing every aspect of the multi-platform database ecosystem? IDERA’s answer is to let it help out. Its acquisition last fall of Embarcadero Technologies’ ER/Studio Data Architecture solution and DB […]
A New Take on Master Data Management
Master Data Management (MDM) is evolving. Forrester Research in its Forrester Wave: Master Data Management Q1 2016, released this spring, points out that organizations’ needs are becoming more complex, with many companies tightly linking their MDM efforts to customer engagement and business processes, and with data models becoming more dimensional while data levels grow deeper. […]
Top 20 Hottest Data Management Posts Year-to-Date 2016
It has become a semi-annual tradition here at DATAVERSITY® to publish our top twenty most popular data management content year-to-date. Though we monitor topic popularity daily, we like to stop every six months or so to do a deep dive into what subscribers are reading. What’s hot and trending? Our top twenty includes Data Blogs, […]
MarkLogic’s New Enterprise NoSQL Solution Drives Next-Gen Apps and Processes
It’s time for the enterprise to seize the opportunity to build new applications and processes based on a synthesis of meaningful data brought together from diverse systems. Doing so requires some key things, though, starting with a database platform that supports seamlessly integrating the data and ensuring that it is understandable at the conceptual level. […]
The Future of the Data Center: Heterogeneous Computing
“The whole point of Heterogeneous Computing is to have the right tools available, so you can use the right processor, in the right place, at the right time,” said Pat McGarry, the VP of Engineering at Ryft in a recent DATAVERSITY® interview. Such a statement certainly sounds both pertinent and beneficial, but in reality what […]
The Data-Information-Knowledge Cycle
Data Management is a very lexically challenged discipline. A major part of that lexical challenge is the terms “data,” “information,” and “knowledge.” These three terms are often misused, abused, and used interchangeably to the point that their real meaning is often unclear. These three terms must be formally defined – in order to create a […]
Best Practices in Data Storytelling
Data storytelling is a critical aspect of analytics that was not given much attention until recently. An Enterprise Data World 2015 session entitled “Visualize This: The Art of Data Storytelling” featuring Kimberly Nevala and Bree Baich of SAS indicates that data storytelling plays an integral role in: Advanced Analytics: The more advanced the nature of […]
Data Architecture and Information Architecture: What’s the Difference?
Many people in the IT and Data Management industries claim there’s no real difference between the terms Data Architecture (DA) and Information Architecture (IA). In a recent DATAVERSITY™ survey, almost half the respondents said they define DA and IA as the same concept. Others say the two terms should be applied to two very different […]