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Hortonworks Inc., a major distributor for Apache Hadoop, the open source distributed computing framework used in big data, announced last week that it was going public. The initial public offering comes just three years after the company was spun out of Yahoo. It’s an ambitious — if not unexpected — move for Hortonworks, analysts said. It may spur more initial public offerings from close competitors, MapR and Cloudera, but what does it say about the status of big data?
If the IPO signals anything about enterprise technology, it is that open source continues to gain momentum. “People are starting to understand what the open source model is, what the community is, and they are investing,” said Howard Dresner, chief research officer of Dresner Advisory Services LLC in Nashua, N.H. A few years ago, participants in Dresner’s surveys reported that Hadoop was dead last in terms of priorities. That isn’t the case anymore. “For better or worse, it’s taking hold,” he said. “And it’s something CIOs have to pay attention to. There’s going to be too much pressure for them not to.”
Editor’s note: What is the purpose of a Business Intelligence Competence Center (BICC) and what value can a BICC produce? Many enterprises of all sizes are already using BICCs and many more plan to invest in establishing BICCs next year, according to the findings in Dresner Advisory Services’ “Business Intelligence Competency Center Market Study” in the Wisdom of Crowds® series. I spoke with Howard Dresner, chief research officer at Dresner Advisory Services about the trends in BICCs. In this interview, he discusses how companies fund, staff and structure BICCs, the role of technology in a BICC, plans for 2015 and much more.
The past few weeks have been big ones for analytics and business intelligence vendors moving to the cloud, with new product or partnership announcements from Oracle, SAP, IBM’s Watson group and even Salesforce.com. So is now the right time for businesses to start thinking about doing analytics and BI in the cloud?
“People are starting to get through what’s novel and are seeing that it actually works,” said Howard Dresner, founder and chief research officer at consultancy Dresner Advisory Services LLC in Nashua, N.H. “There are cost advantages, you don’t have to have the same staffing levels [and] you can include a whole host of users.”
Editor’s note: Since 2007 Dresner Advisory Services has conducted a series of comprehensive annual Wisdom of Crowds® studies to reveal end-users’ real-world perspectives on the business intelligence (BI) market including drivers, how companies use BI, vendor rankings and buyer guides along with analysis of trends. In 2014 the company conducted its inaugural Wisdom of Crowds® Advanced and Predictive Analytics market study as collaboration with fellow industry expert Neil Raden. I spoke with chief research officer Howard Dresner about this growing analytics phenomenon in BI.
How do you define “advanced and predictive analytics?”
Howard Dresner: Advanced and predictive analytics is the ability to analyze current and historical facts to make predictions about future or unknown events or business aspects. It includes statistics, modeling, machine learning and data mining to analyze facts to make the predictions.
Editor’s Note: Dresner Advisory Services is renowned for its in-depth Wisdom of Crowds® Business Intelligence Market Study series. I spoke with Howard Dresner about some of the trends and major findings in two of his 2014 reports recently published — the third annual Cloud BI and Collaborative BI market studies.
COLLABORATIVE BUSINESS INTELLIGENCE
Has buyer/user interest in collaborative capabilities in business intelligence increased since your 2013 market study?
Howard Dresner: The interest in collaborative BI is strong and is up after a dip in 2013. In fact, more than 60 percent of the study’s respondents reported that the collaborative capability is, at minimum, “important.” We consider this as very positive, especially as it takes place amid high-visibility topics such as Big Data and social media. And I’ve seen a lot more collaborative BI products and capabilities in the market in the last nine months.
The increased interest in collaborative BI makes sense because data becomes more useful as it’s shared. Insight built collaboratively adds value faster and has better buy-in.