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        Ventana Research Analyst Perspectives

        I recently spent time at Strata+Hadoop World 2016 in New York. I attended this event and its predecessor, Hadoop World, off and on for the past six years. This one in New York had a different feel from previous events including the most recent event in San Jose at the end of March. Perhaps because of its location in one of the financial and commercial hubs of the world, the event had much more of a business orientation. But it’s not just location. Past events have been held in New York also,...

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        Topics: Big Data, Predictive Analytics, Strata+Hadoop

        Ventana Research recently completed the most comprehensive evaluation of analytics and business intelligence products and vendors available anywhere. As I discussed recently, such research is necessary and timely as analytics and business intelligence is now a fast-changing market. Our Value Index for Analytics and Business Intelligence in 2015 scrutinizes 15 top vendors and their product offerings in seven key categories: Usability, Manageability, Reliability, Capability, Adaptability, Vendor...

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        Topics: Big Data, Data Quality, Predictive Analytics, Gartner, Governance, Customer Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Information Applications, Information Management, Operational Intelligence, Value Index, Strata+Hadoop

        Just a few years ago, the prevailing view in the software industry was that the category of business intelligence (BI) was mature and without room for innovation. Vendors competed in terms of feature parity and incremental advancements of their platforms. But since then business intelligence has grown to include analytics, data discovery tools and big data capabilities to process huge volumes and new types of data much faster. As is often the case with change, though, this one has created...

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        Topics: Big Data, Data Quality, Predictive Analytics, Gartner, Customer Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Information Applications, Information Management, Value Index, Strata+Hadoop

        In many organizations, advanced analytics groups and IT are separate, and there often is a chasm of understanding between them, as I have noted. A key finding in our benchmark research on big data analytics is that communication and knowledge sharing is a top benefit of big data analytics initiatives, but often it is a latent benefit. That is, prior to deployment, communication and knowledge sharing is deemed a marginal benefit, but once the program is deployed it is deemed a top benefit. From...

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        Topics: Big Data, Predictive Analytics, Sales Performance, Supply Chain Performance, alpine data labs, Customer Performance, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Financial Performance, Strata+Hadoop

        Big data has become a big deal as the technology industry has invested tens of billions of dollars to create the next generation of databases and data processing. After the accompanying flood of new categories and marketing terminology from vendors, most in the IT community are now beginning to understand the potential of big data. Ventana Research thoroughly covered the evolving state of the big data and information optimization sector in 2014 and will continue this research in 2015 and...

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        Topics: Big Data, MapR, Predictive Analytics, Sales Performance, SAP, Supply Chain Performance, Human Capital, Marketing, Mulesoft, Paxata, SnapLogic, Splunk, Customer Performance, Operational Performance, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Cloudera, Financial Performance, Hortonworks, IBM, Informatica, Information Management, Operational Intelligence, Oracle, Datawatch, Dell Boomi, Information Optimization, Savi, Sumo Logic, Tamr, Trifacta, Strata+Hadoop

        Big data has great promise for many organizations today, but they also need technology to facilitate integration of various data stores, as I recently pointed out. Our big data integration benchmark research makes it clear that organizations are aware of the need to integrate big data, but most have yet to address it: In this area our Performance Index analysis, which assesses competency and maturity of organizations, concludes that only 13 percent reach the highest of four levels, Innovative....

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        Topics: Big Data, Operational Performance, Business Analytics, Business Intelligence, Business Performance, CIO, Cloud Computing, Data Integration, Information Applications, Information Management, Strata+Hadoop

        Organizations should consider multiple aspects of deploying big data analytics. These include the type of analytics to be deployed, how the analytics will be deployed technologically and who must be involved both internally and externally to enable success. Our recent big data analytics benchmark research assesses each of these areas. How an organization views these deployment considerations may depend on the expected benefits of the big data analytics program and the particular business case...

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        Topics: Big Data, Predictive Analytics, Sales Performance, Social Media, Supply Chain Performance, IT Performance, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Financial Performance, Operational Intelligence, Workforce Performance, Strata+Hadoop

        SAS Institute, a long-established provider analytics software, showed off its latest technology innovations and product road maps at its recent analyst conference. In a very competitive market, SAS is not standing still, and executives showed progress on the goals introduced at last year’s conference, which I covered. SAS’s Visual Analytics software, integrated with an in-memory analytics engine called LASR, remains the company’s flagship product in its modernized portfolio. CEO Jim Goodnight...

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        Topics: Predictive Analytics, IT Performance, LASR, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Cloudera, Customer & Contact Center, Hortonworks, IBM, Information Applications, SAS institute, Strata+Hadoop

        I had the pleasure of attending Cloudera’s recent analyst summit. Presenters reviewed the work the company has done since its founding six years ago and outlined its plans to use Hadoop to further empower big data technology to support what I call information optimization. Cloudera’s executive team has the co-founders of Hadoop who worked at Facebook, Oracle and Yahoo when they developed and used Hadoop. Last year they brought in CEO Tom Reilly, who led successful organizations at ArcSight, HP...

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        Topics: Big Data, Teradata, Zoomdata, IT Performance, Business Intelligence, Cloudera, Hortonworks, IBM, Information Applications, Information Management, Location Intelligence, Operational Intelligence, Oracle, Hive, Impala, Strata+Hadoop

        While covering providers of business analytics software, it is also interesting for me to look at some that focus on the people, process and implementation aspects in big data and analytics. One such company is Nuevora, which uses a flexible platform to provide customized analytic solutions. I recently met the company’s founder, Phani Nagarjuna, when we appeared on a panel at the Predictive Analytics World conference in San Diego.

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        Topics: Big Data, Predictive Analytics, IT Performance, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Information Applications, Strata+Hadoop
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        • Ventana Research’s Analyst Perspectives are fact-based analysis and guidance on business, industry and technology vendor trends. Each Analyst Perspective presents the view of the analyst who is an established subject matter expert on new developments, business and technology trends, findings from our research, or best practice insights.

          Each is prepared and reviewed in accordance with Ventana Research’s strict standards for accuracy and objectivity and reviewed to ensure it delivers reliable and actionable insights. It is reviewed and edited by research management and is approved by the Chief Research Officer; no individual or organization outside of Ventana Research reviews any Analyst Perspective before it is published. If you have any issue with an Analyst Perspective, please email them to ChiefResearchOfficer@ventanaresearch.com

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