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        David Menninger's Analyst Perspectives

        About the Analyst

        David Menninger

        David is responsible for the overall research direction of data, information and analytics technologies at Ventana Research covering major areas including Analytics, Big Data, Business Intelligence and Information Management along with the additional specific research categories including Information Applications, IT Performance Management, Location Intelligence, Operational Intelligence and IoT, and Data Science. David is also responsible for examining the role of cloud computing, collaboration and mobile technologies as they affect these areas. David brings to Ventana Research over twenty-five years of experience, through which he has marketed and brought to market some of the leading edge technologies for helping organizations analyze data to support a range of action-taking and decision-making processes. Prior to joining Ventana Research, David was the Head of Business Development & Strategy at Pivotal a division of EMC, VP of Marketing and Product Management at Vertica Systems, VP of Marketing and Product Management at Oracle, Applix, InforSense and IRI Software. David earned his MS in Business from Bentley University and a BS in Economics from University of Pennsylvania.


        Recent Posts

        I recently attended Teradata’s Third-Party Influencers Meeting (Twitter Hashtag #TD3PI) in Las Vegas where the company updated industry analysts and consultants on upcoming product plans and the status of two product lines it added via acquisition in the past year. Randy Lea, Teradata’s VP of product management and marketing, provided a company overview recapping highlights and defining the corporate strategy building on its work in 2010 that my colleague assessed. Teradata focuses on three...

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        Topics: Predictive Analytics, Sales Performance, Social Media, Supply Chain Performance, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Financial Performance, Workforce Performance

        SnapLogic, a cloud-based data integration vendor, has extended its product linewith new data quality capabilities. This is worth comment because SnapLogic sits at the intersection of two recent trends in information management.

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        Topics: Predictive Analytics, Sales Performance, Social Media, Supply Chain Performance, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Financial Performance, Information Management, Workforce Performance

        InetSoft is a business intelligence vendor that is not well-known but has more than 3,000 customers. Why do you need to know about another BI vendor? As I’ve written in the past, there’s a place in this market for both the megavendors and smaller vendors. InetSoft, one of the latter, has developed a broad set of capabilities over the years that have resonated with its customers. It recently announced and brought to market a significant new release, Style Intelligence 11.   

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        Topics: Sales Performance, Supply Chain Performance, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, CIO, Customer & Contact Center, Financial Performance, InetSoft, Information Applications

        As recently as two years ago, Pentaho was all about open source business intelligence. The company used an open source business model to build a base of more than 1,200 paying customers and establish more than 8,000 production deployments. It still has an open source business model, but the company has created a broad yet integrated product line that deserves to be evaluated on its features, not just its licensing scheme. This week Pentaho announced version 4.0 of its BI suite along with...

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        Topics: Pentaho, Sales Performance, Social Media, Supply Chain Performance, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Financial Performance, OLAP, Visualization, Workforce Performance

        Cloudera is riding the wave of big data. I first learned about the company while working at Vertica, one of Cloudera’s partners. Customers that managed large amounts of structured relational data also needed to process large amounts of semistructured data such as the type found in web logs and application logs. The emerging channel of social media provided another source of data lacking the structure that would lend itself to analysis in a relational database. Other organizations needed to...

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        Topics: Big Data, Predictive Analytics, Sales Performance, Social Media, Supply Chain Performance, Business Analytics, Business Intelligence, Business Performance, CDH3, Cloudera, Customer & Contact Center, Information Management, Strata+Hadoop

        I recently attended IBM’s analyst summit on business analytics. Since last year’s event was largely a preview of Cognos 10, which was several years in the making, I wondered what this year’s event would be about. IBM focused much of the attention on predictive analytics, strengthened by its acquisition of SPSS. My colleague Robert Kugel covered another theme from the event in his post on Cognos Planning

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        Topics: Predictive Analytics, Sales Performance, Social Media, Supply Chain Performance, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Financial Performance, Operational Intelligence, Workforce Performance

        Informatica has announced version 9.1 for Big Data.  I wrote previously about Informatica 9.1,the latest iteration of the company’s data integration platform, following its industry analyst summit. At that event in February, the company officials alluded to future plans regarding Hadoop and other big-data sources yet to be finalized. This announcement reveals those plans. Informatica will support three types of “big data”: big transaction data from relational databases and data warehouse system,...

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        Topics: Big Data, MapReduce, Social Media, Supply Chain Performance, Business Collaboration, Business Mobility, Business Performance, Customer & Contact Center, Data Integration, Informatica, Strata+Hadoop

        Last week I attended the IBM Big Data Symposium at the Watson Research Center in Yorktown Heights, N.Y. The event was held in the auditorium where the recent Jeopardy shows featuring the computer called Watson took place and which still features the set used for the show – a fitting environment for IBM to put on another sort of “show” involving fast processing of lots of data. The same technology featured prominently in IBM’s big-data message, and the event was an orchestrated presentation more...

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        Topics: Big Data, EMC, Analytics, Business Analytics, Business Intelligence, Cloud Computing, Cloudera, Customer & Contact Center, Greenplum, IBM, Information Applications, Information Management, InfoSphere, Location Intelligence, Operational Intelligence, IT Performance Management (ITPM), Strata+Hadoop

        Earlier this week EMC announced it will create its own distribution for Apache Hadoop.  Hadoop provides distributed computing capabilities that enable organizations to process very large amounts of data quickly. As I have written previously, the Hadoop market continues to grow and evolve. In fact, the rate of change may be accelerating. Let’s start with what EMC announced and then I’ll address what the announcement means for the market.

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        Topics: Big Data, EMC, Social Media, Teradata, Business Analytics, Business Collaboration, Business Intelligence, Cloud Computing, Cloudera, Customer & Contact Center, Greenplum, Information Management, Strata+Hadoop

        As part of our largest-ever research study on business analytics, which surveyed more than 2,600 organizations covering the maturity and competency of business, IT and vertical industries, we looked at how IT is applying analytics to support their own business activities. One of the things we found is that, charged with enabling business units to use information systems as effectively as possible, the IT department, like the shoemaker’s barefoot children in the old tale, typically stands last...

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        Topics: Predictive Analytics, Analytics, Business Analytics, Business Intelligence, Business Performance, Information Applications, Information Management, Information Technology, IT Analytics, IT Service Management, ITIL, ITSM, IT Performance Management (ITPM)
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