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Expanding Master Data Management with Big Data

Master-Data-Management

by Jelani Harper Initially, Master Data Management (MDM) systems and the content they contain may seem counterintuitive or even diametrically opposed to Big Data systems. Some of the considerable differences between Master Data and Big Data include: Volume: Comparatively, Master Data sets are much smaller than those for Big Data. One of the pivotal attractions…

Avoiding Data Swamps with Big Data Governance

Big-Data-Governance

by Jelani Harper Michele Goetz at Forrester recently wrote that “…Big Data is creating data swamps even in the best intentioned efforts…Analysts will still spend up to 80% of their time just trying to create the data set to draw insights.” Implicit in this statement is the reality that whether organizations are attempting to leverage…

Data Quality: It’s A Supply Chain Issue

Data-Quality-Supply-Chain

by Jennifer Zaino Ask Mary Wilson, Vice President of Advisory Services at GS1 US about what Data Quality is, and here’s what she’ll tell you: “Data Quality is the outcome of having sound Data Governance processes, and institutional education/ knowledge and training to support good Master Data Management (MDM),” so that there is a single…

Golden Master Data Management

Golden-Master-Data-Management

by Jelani Harper Master Data Management (MDM) exists at the nexus point between analytics, operations, and Data Governance. Real-time access to operational customer data (one of the two most commonly found MDM domains) frequently requires the sort of lengthy implementation of a number of disparate systems that many organizations perceive is too arduous—and costly—to justify…

Best Practices in Data Storytelling

Data-Storytelling

by Jelani Harper 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 Future of Cloud Computing: Fog Computing and the Internet of Things

Fog-Computing

by Jelani Harper Cloud Computing was initially leveraged for providing and accessing Service Oriented Architecture, which enabled organizations to attain resources with reduced costs, decreased infrastructure, and simplified architecture. Suddenly, advanced analytics capabilities (and many others) were in the hands of laymen. Big Data has emerged in earnest the past couple of years and with…

Going Visual with Graph Databases and Data Visualization

graph database and data virtualization x300

by Jennifer Zaino Are you able to get a really good look at what the data in your graph database can tell you? A graph database such as Aurelius’ Titan, Franz’ AllegroGraph, Google’s Cayley, Neo Technology’s Neo4j, Objectivity’s InfiniteGraph, and Ontotext’s GraphDB lets you store semi-structured data linked together by relationships in a graph and…

Top 20 Hottest Data Management Posts Year-to-Date 2015

Top 20 July 2015

by Shannon Kempe It’s already time for the DATAVERSITY semi-annual Top 20 report! We have selected the top 20 most popular content published year-to-date. We look at all content types including our Blogs by Industry Experts, Articles, Data Daily News, etc. We have seen a huge shift in Data Topic interest from our end year…

Improving Big Data Analytics with Machine Learning-as-a-Service

machine learning 2 x300

by Jelani Harper  Machine Learning-as-a-Service (MLaaS) exists as the nexus point for some of the most promising technologies and applications of Big Data analytics. The availability of sophisticated Machine Learning algorithms on demand via the Cloud has significant ramifications for: Big Data: In many ways, the predictive capabilities of Machine Learning are the only means…