Jeni Tennison recently wrote a clever article for the Open Data Institute on the five stages of data grief. She writes, “As organisations come to recognise how important and useful data could be, they start to think about using the data that they have been collecting in new ways. Often data has been collected over many years as a matter of routine, to drive specific processes or sometimes just for the sake of it. Suddenly that data is repurposed. It is probed, analysed and visualised in ways that haven’t been tried before. Data analysts have a maxim: ‘If you don’t think you have a quality problem with your data, you haven’t looked at it yet.’ …In our last ODI Board meeting, Sir Tim Berners-Lee suggested that the data curators need to go through something like the five stages of grief described by the Kübler-Ross model. So here is an outline of what that looks like.” Read more
Posts Tagged ‘data management’
Medallia Expands Offering for Business-to-Business Companies With 360-Degree Account Management Reporting
PALO ALTO, California, November 12, 2013 — Medallia® the global leader in SaaS Customer Experience Management (CEM) solutions, today announced a new release of its Business-to-Business (B2B) offering. The release is designed to increase key stakeholders’ visibility into account feedback across B2B organizations so they can improve the customer experience.
Bob Emmerson recently wrote an article in NoJitter.com in which he stated, “Sky-high guesstimates for the Internet of Things–10B devices by 2016 (Cisco), 50B by 2020 (Ericsson)–can overshadow the importance of this concept in corporate environments. In this context, the Internet of Corporate Things is a more meaningful term. General Electric calls it the Industrial Internet. But whatever term you employ, a serious, significant development is taking shape.” Read more
Walldorf, Germany (PRWEB) October 11, 2013 — fluid Operations, leading provider of cloud and data management solutions based on semantic technologies, and Fujitsu, the leading Japanese information and communication technology (ICT) company, are collaborating to develop a joint solution which allows enterprises to transform legacy, silo-based IT environments into agile, automated infrastructures. The solution aims at providing unified application and service delivery and allowing for agile responses to rapidly changing business demands. Read more
Gary Hamilton of GovHealthIT recently wrote, “Today, the acquisition of patient information for population health management is typically done through Continuity of Care Documents (CCDs). Although the exchange of health information is possible via CCDs, the amount of information they contain can be overwhelming. As such, poring over CCDs to find information relevant to patient populations can be unwieldy and time consuming. With providers challenged to manage information in just one CCD, how can they hope to use these documents to effectively influence care at the population level? The key is to look for ways to use technology to target specific patient information, pinpoint new and relevant information and alert both patients and providers when updated information is available.” Read more
Hadoop is on almost every enterprise’s radar – even if they’re not yet actively engaged with the platform and its advantages for Big Data efforts. Analyst firm IDC earlier this year said the market for software related to the Hadoop and MapReduce programming frameworks for large-scale data analysis will have a compound annual growth rate of more than sixty percent between 2011 and 2016, rising from $77 million to more than $812 million.
Yet, challenges remain to leveraging all the possibilities of Hadoop, an Apache Software Foundation open source project, especially as it relates to empowering the data scientist. Hadoop is composed of two sub-projects: HDFS, a distributed file system built on a cluster of commodity hardware so that data stored in any node can be shared across all the servers, and the MapReduce framework for processing the data stored in those files.
Semantic technology can help solve many of the challenges, Michael A. Lang Jr., VP, Director of Ontology Engineering Services at Revelytix, Inc., told an audience gathered at the Semantic Technology & Business Conference in New York City yesterday.
Philip Connolly of the Daily Business Post recently profiled Galway-based semantic start up, SindiceTech. According to Connolly, “While many people never look underneath the bonnet of the internet, web technology never stands still. Many people see the semantic web as the next step, a technology that allows machines to understand the meaning of information on the web. Most of us online will probably not notice semantic web technologies running in the background, the technologies could lead to an improvement in the relevance of the data returned through search engines for both individuals and enterprises using large amounts of data.” Read more
When it comes to Semantic Web technologies, there are some business-technology leaders that see value in moving rapidly forward. For some, it’s critical if they’re to live up to their image as technologically advanced enterprises. For others, it’s a matter of hearing that competitors are doing it, so they need to get on board too. There’s also the case to be made that there the amount of data to deal with already is overwhelming, and it’s only going to get worse, creating a world that mere humans and current information technology tools simply can’t keep up with.
At the (quickly) upcoming Semantic Tech & Business Conference in Washington D.C., Janet Millenson, principal of advisory firm Two Crows Consulting, will hit those high notes. But expect also to hear about what remains to grapple with in order to get executive support for what is still a new idea in many organizations.
Inforbix has announced a new cloud product data solution for manufacturing, Product Data Apps: “The revolutionary cloud-centric service helps engineers, project managers and other team members quickly and easily find, re-use, and share product data from disparate sources and file types.” Inforbix CEO Oleg Shilovitsky stated, “Money and time are wasted because most product data management professionals cannot locate the specific information needed without a manual search. Our system makes it easy for an engineer to pinpoint designs, specifications, and even quality control data with a mouse click. After extensive validation, we learned that as much as 40 percent of productive engineering time is wasted in data management activities. Inforbix reduces much of that wasted time.” Read more
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