Enterprise Information Management

DataEd Slides: Data Management Maturity Model

DataEd Thumbnail

This presentation was given in a live webinar on August 12, 2014 Data-Ed Online: Data Management Maturity Model from DATAVERSITY To view the On Demand recording for this session, click HERE>> About the Webinar The Data Management Maturity (DMM) model is a framework for the evaluation and assessment of an organization’s data management capabilities.  The…

Cambridge Intelligence Introduces KeyLines 2.0

KeyLines-Time-Bar-screenshot

by Angela Guess A recent article out of the company reports that, “In July 2014, Cambridge Intelligence proudly announced the release of KeyLines 2.0 – the next  generation of network visualization. KeyLines is a Software Development Kit (SDK) for building network visualization applications. Using the KeyLines toolkit, developers can create sophisticated and powerful web applications…

GE’s Automation Software Delivers the Power of the Industrial Internet

GE Intelligent Platforms Logo

by Angela Guess According to a new article out of the company, “GE Intelligent Platforms (NYSE: GE) today announced upgrades to the company’s core Automation Software products, Proficy HMI/SCADA – iFIX and Proficy HMI/SCADA – CIMPLICITY, as well as new capabilities that deliver on the promise of the Industrial Internet.  Upgrades to the company’s breakthrough…

Defining the Role of the Chief Data Officer

Jim MacCallum - Executive Team - Vivonet

by Angela Guess Maria Deutcher of Silicon Angle recently wrote, “There are as many opinions on the role of the chief data officer (CDO) as there definitions of the emerging position, but few are as well-informed as that of professor Yang Lee from Northwestern University. She helped author one of the single most comprehensive studies…

David Gleason on Operations Analysis for Business Insights

Skyscrapers

by Angela Guess Brittany Reyes of FC Business Intelligence recently wrote, “Operations analysis has gained a foothold in strengthening customer personas by monitoring specific interactions on a much more granular nature than what was available in the past, says David Gleason, the Head of Data Strategy at BNY Mellon. For BNY Mellon, operations analysis has…

Monetizing the Industrial Internet of Things

industrial internet of things x300

by Jelani Harper The Industrial Internet of Things may well be the ultimate expression of where the data sphere is heading in the next couple of years. It combines Big Data sets with real time and predictive analytics (Operational Intelligence) capabilities through the Cloud to influence decision making and to create and tailor a variety…

Palantir, NoSQL, and Simplicity

pal

by Angela Guess Derrick Harris of GigaOM recently wrote, “If any company could get away with cramming a horribly complex user experience down its customers’ throats, you’d think it would be Palantir. The well-funded and not-so-secretive Palo Alto, California, based startup has engineered a platform that supposedly does some amazing things with data analysis, and…

Concurrent and Elasticsearch Team Up to Accelerate Data Application Deployment

conc

by Angela Guess According to a new article out of the company, “Concurrent, Inc., the leader in data application infrastructure, and Elasticsearch, Inc., provider of an end-to-end real-time search and analytics stack, today announced a partnership to accelerate the time to market for Hadoop-based enterprise data applications. Enterprises seeking to make the most out of…

Can Better Tech Save the Veteran Affairs Department?

Veterans Hosptial Visit

by Angela Guess David Pittman of Politico recently wrote, “The Veterans Affairs health crisis might be solved with something as simple as putting the right software in the hands of far-flung doctors. Part of the $17 billion bill to overhaul the troubled health system involves much heavier usage of information technology, so that veterans in…

The Data Architecture Trinity

Data Architecture Trinity 2

by Michael Brackett Past articles have explained the data description, data structure, and data integrity components of a formal data resource architecture.  The diagram below shows those three components in graphical form.  The descriptive component consists of two sub-components for formal data names and comprehensive data definitions (The Missing Descriptive Component, A Suitable Descriptive Component). …