by Jelani Harper Gartner describes Open Source R—arguably the script of choice for Data Scientists and one of the most…
by Angela Guess The team here at DATAVERSITY™ is happy to announce “the complete faculty of speakers for the first annual Cognitive…
by Angela Guess Nell Greenfieldboyce of NPR reports, “No one likes it when a new drug in people’s medicine cabinets turns…
by Angela Guess Klint Finley of Wired reports, “Cockroaches are some of the most resilient creatures on earth. They can live…
by Jelani Harper Gartner describes Open Source R—arguably the script of choice for Data Scientists and one of the most pivotal tools for creating advanced and predictive analytics—as “increasingly popular” (Herschel et al, 2014), while Forrester lauds its ubiquity. As one of the earliest champions of Open Source R, Revolution Analytics swiftly addressed its scalability…
by Jelani Harper It is possible to simultaneously empower the end user and his or her business objectives with self-service analytics and self-service Business Intelligence, while still ensuring full adherence to existing Data Governance policies, roles, and structure. It is also possible to combine the benefits of the traditional centralized approach to BI (governance, privacy,…
by Jelani Harper Open Source analytics have transformed the analytics space in Data Management in much the same way that Hadoop (another Open Source technology) has transformed Big Data. Open Source analytics have almost single-handedly transfigured the way: Commercial and proprietary Business Intelligence (BI) and Analytics providers provide script support to and integration options with…
by Gil Allouche Big data is growing at an enormous rate. There’s more data than ever, and there are more industries beginning to institute big data technology too. Each day there emerge more and more ways in which big data can positively affect our lives and increase effectiveness and efficiency. It’s also becoming easier and…
by Keith Cawley According to the Social Science Research Network, 65% of individuals are visual learners. Past civilizations used simple visualizations to easily digest and comprehend information. Today, businesses use infographics, photos, and videos to connect with their customers. Forbes magazine stated, “Most of us process information based on what we see. Sure, we’ll share…
by Cecily Dennis and Dan Meers Data quality metrics are instrumental in gauging the overall health of an enterprise. Poor data quality impacts your resources, morale, productivity, compliance, customer retention and bottom line. Asking the question, “Is Your Data Fit?” is too broad based and reactive. Evaluating data quality and moving to a proactive capability…
DATE: July 22, 2014 TIME: 2 PM Eastern / 11 AM Pacific PRICE: Free to all attendees About the Webinar Cognitive Computing is a rapidly developing technology that has reached practical application and implementation. So what is it? Do you need it? How can it benefit your business? In this webinar a panel of experts…
DATE: July 24, 2014 TIME: 2 PM Eastern / 11 AM Pacific PRICE: Free to all attendees About the Webinar Big Data, Business Analytics, Data Analytics, NoSQL, Relational . . . do we even agree on what we mean by those terms? In this panel session, industry thought leaders will discuss and debate the most…
DATE: July 29, 2014 TIME: 2 PM Eastern / 11 AM Pacific PRICE: Free to all attendees About the Webinar As we started embracing Big Data and NoSQL across a number of projects, it quickly became clear that one technology is not going to be a solution for all of our needs. In this talk…
by Angela Guess Brian Taylor of Tech Republic reports, “Enterprises should not be asking whether they have the data, APT‘s VP of client services Rupert Naylor said in a telephone interview with TechRepublic, but how to best analyze it and make better sales and marketing decisions. Applied Predictive Technologies (APT) is a cloud-based predictive analytics software company headquartered…
by Angela Guess Jeff Kelly of Wikibon recently wrote, “Big Data is applicable to virtually all vertical markets, and the technologies that make up the emerging Big Data stack are diverse. But one thing most Big Data practitioners have in common is their employment of professional services firms to help navigate the journey to Big Data…
by Angela Guess According to a new article out of the company, “Experian Data Quality, a part of Experian Marketing Services and a leading provider of data quality software and services, today published a new report on the prevalence of personalization and analytics required to support new marketing efforts. The study found that while almost half of companies personalize messages…
Real-World Data Governance: Metadata to Empower Data Stewards – Introducing the Idea of the OMS from DATAVERSITY To view just the slides from this presentation, click HERE>> About the Webinar Metadata is the most valuable tool of the Data Steward. Where the stewards get their metadata and how they participate in the process of delivering…
Real-World Data Governance: Metadata to Empower Data Stewards – Introducing the Idea of the OMS from DATAVERSITY To view the On Demand recording of this webinar, click HERE>> About the Webinar Metadata is the most valuable tool of the Data Steward. Where the stewards get their metadata and how they participate in the process of…
by Jelani Harper It is possible to simultaneously empower the end user and his or her business objectives with self-service analytics and self-service Business Intelligence, while still ensuring full adherence to existing Data Governance policies, roles, and structure. It is also possible to combine the benefits of the traditional centralized approach to BI (governance, privacy,…
by Angela Guess Nell Greenfieldboyce of NPR reports, “No one likes it when a new drug in people’s medicine cabinets turns out to have problems — just remember the Vioxx debacle a decade ago, when the painkiller was removed from the market over concerns that it increased the risk of heart attack and stroke. To do…
by Angela Guess Klint Finley of Wired reports, “Cockroaches are some of the most resilient creatures on earth. They can live for 45 minutes without air and over a month without food. Cutting their heads off won’t even kill them—at least not immediately. Their bodies can live on for several days without their heads. At technology giants like Google,…
by Gil Allouche Big data is growing at an enormous rate. There’s more data than ever, and there are more industries beginning to institute big data technology too. Each day there emerge more and more ways in which big data can positively affect our lives and increase effectiveness and efficiency. It’s also becoming easier and…
by Jelani Harper Gartner describes Open Source R—arguably the script of choice for Data Scientists and one of the most pivotal tools for creating advanced and predictive analytics—as “increasingly popular” (Herschel et al, 2014), while Forrester lauds its ubiquity. As one of the earliest champions of Open Source R, Revolution Analytics swiftly addressed its scalability…
by Jelani Harper It is possible to simultaneously empower the end user and his or her business objectives with self-service analytics and self-service Business Intelligence, while still ensuring full adherence to existing Data Governance policies, roles, and structure. It is also possible to combine the benefits of the traditional centralized approach to BI (governance, privacy,…
by Jelani Harper Open Source analytics have transformed the analytics space in Data Management in much the same way that Hadoop (another Open Source technology) has transformed Big Data. Open Source analytics have almost single-handedly transfigured the way: Commercial and proprietary Business Intelligence (BI) and Analytics providers provide script support to and integration options with…
Big Challenges in Data Modeling: NoSQL and Data Modeling from DATAVERSITY To view just the slides from this presentation, click HERE>> About the Webinar Big Data and NoSQL have led to big changes In the data environment, but are they all in the best interest of data? Are they technologies that “free us from the…
Big Challenges in Data Modeling: NoSQL and Data Modeling from DATAVERSITY To view the On Demand recording of this presentation, click HERE>> About the Webinar Big Data and NoSQL have led to big changes In the data environment, but are they all in the best interest of data? Are they technologies that “free us from…
by Karen Lopez This week I again came across a few articles on the Internet (they must be true!) that insist NoSQL means people get data faster, with none of that nasty business of data modeling or analysis. While it’s wonderful to hear about advances in data science, I’m still not convinced that these sentiments…
by Angela Guess Derek du Preez of Diginomica reports, “DataStax has made good headway in short four years and it’s co-founder, Matt Pfeil, told me that it is already in 25% of all Fortune 100 companies (in some form or another). He added that over the next decade, he is certain that this figure can rise…
by Gil Allouche Big data is on the rise. It’s being implemented by more businesses than ever, and it’s becoming even more available because of big data in the cloud which gives affordable, quality access to businesses of all sizes. The increasing popularity and accessibility make big data extremely attractive to many different businesses, which…
by Jelani Harper In a recent article for Gigaom, Derek Harris wrote, “Hadoop vendor MapR has raised $110 million in capital to help it keep growing in a heated enterprise Hadoop market. Most of the funding — $80 million — came in the form of venture capital from Google Capital, Qualcomm Ventures and MapR’s previous investors…
by Jelani Harper Gartner describes Open Source R—arguably the script of choice for Data Scientists and one of the most pivotal tools for creating advanced and predictive analytics—as “increasingly popular” (Herschel et al, 2014), while Forrester lauds its ubiquity. As one of the earliest champions of Open Source R, Revolution Analytics swiftly addressed its scalability…
by Jennifer Zaino As a data professional, how much of your time is spent working on fixing up your data, rather than working on answering questions and solving problems with your data? On average data cleansing and transformation takes up 80 percent of data professionals’ time, according to Joseph Hellerstein, a Chancellor’s Professor of Computer…
by James Kobielus Increasingly, the best websites aren’t so much designed as calculated. And that calculation, more often than not, rides on a never-ending campaign of A/B testing. And the A/B testing, in turn, is under the constant supervision of data scientists running one real world experiment after another. The calculations for modern website optimization…
Real-World Data Governance: Metadata to Empower Data Stewards – Introducing the Idea of the OMS from DATAVERSITY To view just the slides from this presentation, click HERE>> About the Webinar Metadata is the most valuable tool of the Data Steward. Where the stewards get their metadata and how they participate in the process of delivering…
Increasing Your Business Data and Analytics Maturity from DATAVERSITY To view just the slides from this presentation, click HERE>> About the Webinar For a few years now, companies of all sizes have been looking at data as a lever to increase revenues, reduce costs or improve efficiency. However, we believe the power of using data…
Data-Ed Webinar: Design & Manage Data Structures from DATAVERSITY To view just the slides from this presentation, click HERE>> About the Webinar Data structures enable you to store and organize data so that it can be used efficiently. But how do you know to apply the correct one? There is a difference between structuring master…
