Posts Tagged ‘business intelligence’

SNAP To It: Dell Proposes Way Of Seeing Returns On Social Media Investments

shreeAre you seeing a return on your investment in social media? When the question about whether such returns exist was put to the audience at the recent Sentiment Analytics Symposium by Shree Dandekar, Dell Software’s chief strategist and senior director of BI and analytics, only a few hands went up. But Dandekar explained that it’s more possible to realize returns than many people may believe.

Dell’s Social Net Advocacy Pulse, or SNAP, tool and program is designed to help drive those returns. “Social ROI is not a myth but a reality,” Dandekar said. “It starts with a social media strategy and text analytics is a crucial underpinning of that journey,” which takes a company from social media listening and monitoring, to capturing and aggregating data from that, to engaging on and deriving insights from social media, to bringing that information into context with enterprise data for better lead- and opportunities-tracking. Dell is an in-house user of SNAP, bringing in 25,000 to 30,000 conversations a day for dell, he noted, and it runs a Social Media Command Center for facilitating listening to those conversations.  (It also helps customers implement their own Command Centers.)

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More Efficient Meetings with Gridspace’s NLP Technology

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Ryan Lawler of Tech Crunch reports that Gridspace “has created an application based on technology that automatically saves and indexes meeting conversations. But the big breakthrough is that, though the magic of machine learning and natural language processing, it can determine which parts of the meeting conversations were most important. I got a demo of the technology at work, with Gridspace CEO Evan Macmillan showing off a beta version of the company’s app for our presentation. With the app open, he walked me through the basics, occasionally telling the app to ‘remember’ certain interesting aspects.” Read more

DataRPM Raises $5.1M for Business Intelligence with NLP

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Derrick Harris of GigaOM reports, “DataRPM, a Fairfax, Va.-based startup that has built a business intelligence product based on search engine technology, has raised a $5.1 million Series A round of venture capital. InterWest Partners led the round, which follows up on a $250,000 seed round the company raised in April. As we explained in a July post about an ‘askathon’ (essentially, a business intelligence hackathon) the company was hosting, DataRPM is based on search technologies and tries to deliver a search-like experience. Data is indexed rather than modeled, and users perform queries in a search bar using natural language.” Read more

DataRPM Secures $5.1 Million in Series A to Advance Cognitive BI Platform

datarpm

FAIRFAX, Va.–(BUSINESS WIRE)–DataRPM, the industry pioneer in cognitive business intelligence, today announced that it has closed a $5.1 million Series A funding round. Led by InterWest Partners and joined by CIT GAP Funds, the round will be used to accelerate DataRPM’s global go-to-market strategy. DataRPM changes the way individuals work with data, making analytics more accessible and easier to use by solving the two main barriers to the adoption of data analysis – time consuming data modeling and usability. The DataRPM business intelligence (BI) platform removes those barriers, automating the data modeling process and employing a natural language question-and-answer interface to simplify data analysis and visualization. Read more

Semantic Technology Jobs: Walt Disney Studios

Walt-Disney-Logo

Walt Disney Studios is looking to fill a Business Intelligence and Analytics Graduate PhD Internship in Burbank, CA, this summer. According to the post, “The main focus will be to perform social media monitoring and develop actionable insights for the theatrical team. The theatrical analytics team partners with technology teams and other analytical leaders to develop predictive models, metrics, insights, and related intellectual property that can be forged into business recommendations with the intent to influence decisions prior to a film’s box office release. By receiving access early to the social buzz surrounding pre-released movies, this team will be able to guide our leaders to make more informed decisions leading to increased sales in the consumer marketplace.” The intern will “Focus on the algorithmic evaluation of everything in the social networking domain. Work directly with the business teams to solve hard problems by leveraging statistics and techniques, including design of experiments, AB testing, machine learning, importance sampling, natural language processing, etc.” Read more

The Big BI Problems Created by Big Data

Doron Aspitz of Wired reports, “Developed before the rise of Big Data, Business Intelligence, or BI, was developed to change raw data into useful information. BI worked great for a time. Then the size and complexity of available data started to grow rapidly. More data led to an increase in reports, which forced people with domain expertise to manually analyze the reports. Today, BI is widely deployed. Unfortunately, it is actually used by only a small fraction of the people in a business with access to BI systems. Forrester Research estimates ‘the fraction of total employees that use BI applications between 5 and 9%.’ People don’t like to read stacks of reports. Big Data broke BI. Can we fix things by improving the network, processing, and storage systems to make the data machines run faster? Unfortunately, we can’t.” Read more

Semantic Tech Outlook: 2013

Photo Courtesy: Flickr/Lars Plougmann

In recent blogs we’ve discussed where semantic technologies have gone in 2012, and a bit about where they will go this year (see here, here and here).

Here are some final thoughts from our panel of semantic web experts on what to expect to see as the New Year rings in:

John Breslin,lecturer at NUI Galway, researcher and unit leader at DERI, creator of SIOC, and co-founder of Technology Voice and StreamGlider

Broader deployment of the schema.org terms is likely. In the study by Muehlisen and Bizer in July this year, we saw Open Graph Protocol, DC, FOAF, RSS, SIOC and Creative Commons still topping the ranks of top semantic vocabularies being used. In 2013 and beyond, I expect to see schema.org jump to the top of that list.

Christine Connors, Chief Ontologist, Knowledgent:

I think we will see an uptick in the job market for semantic technologists in the enterprise; primarily in the Fortune 2000. I expect to see some M&A activity as well from systems providers and integrators who recognize the desire to have a semantic component in their product suite. (No, I have no direct knowledge; it is my hunch!)

We will see increased competition from data analytics vendors who try to add RDF, OWL or graphstores to their existing platforms. I anticipate saying, at the end of 2013, that many of these immature deployments will leave some project teams disappointed. The mature vendors will need to put resources into sales and business development, with the right partners for consulting and systems integration, to be ready to respond to calls for proposals and assistance.

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Look For Semantic Layers & BI-Specific DBMSes in 2013

Borris Evelson of the Forrester Research blog recently shared Forrester’s prediction for business intelligence advances in 2013 and beyond. Evelson writes, “BI-specific DBMSes will gain popularity. Alternative database management system (DBMS) engines architected specifically for agile BI will emerge as one of the key fundamental agile BI technologies that BI pros should closely evaluate and consider. These specialized, BI-specific DBMS databases — those that are designed specifically for BI reporting and analysis — currently have lower adoption rates when compared with their bigger, older, more versatile, jack-of-all-trades RDBMS cousins. But don’t expect these low adoption rates to continue; BI-specific DBMSes started to become mainstream in 2012 and the trend will continue in 2013. Forrester expects that more than 20% of all BI applications will be based on this technology within the next two years.” Read more

Election 2012: The Semantic Recap

There’s no such thing as too much post-election coverage, is there? Alright, maybe there is. But we couldn’t let things die down without at least a nod to those in our space that have delivered the semantic industry’s own take on the topic.

Here are a few you may want to review:

Twitris Election Insights:

“The Twitris system had an amazing night–while Nate Silver’s model might have received well deserved attention, Twitris gave better indications and insights and large majority of the polls,” wrote Dr. Amit Sheth, Kno.e.sis Ohio Center of Excellence in Knowledge-enabled Computing director and LexisNexis Ohio Eminent Scholar, in an email to us. The semantic social web application (first covered here) is a project of Kno.e.sis at Wright State University.

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NetBase Expands SAP Relationship: Sign Of The Growing Social Enterprise — And The Need For IT To Take Bigger Role In It

At this week’s SAP Sapphire conference. NetBase will be taking its relationship with the enterprise vendor to the next level. Last December the two paired up to bring NetBase’s social intelligence (SI) to SAP BusinessObjects’ business intelligence (BI).

Coming up now is a complete integration of the NetBase technology into SAP’s Social On Demand customer relationship management (CRM) console. “Having access to social data is becoming critical to every part of the organization,” says NetBase chief marketing officer Lisa Joy Rosner. So, “social media [becomes] just one more data point” for which the enterprise must account.

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