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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

        This is the first in a series of posts on the architectures of analytic databases. This is relational database technology that has been “supercharged” in some way to handle large amounts of data such as typical data warehouse workloads. The series will examine massively parallel processing (MPP), columnar databases, appliances and in-database analytics. Our purpose is to help those evaluating analytic database technologies understand some of the alternative approaches so they can differentiate...

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        Topics: Data Warehousing, RDBMS, Business Intelligence, Cloud Computing, Data Management, Information Management, IT Performance Management (ITPM)

        Cloud computing is having an increasingly large influence over the IT landscape. It’s likely that, whether you realize it or not, corporate data exists and or is migrating outside the walls of your organization. Recent research by Ventana Research shows that in areas such as customer services, sales, workforce or human capital management, software as a service (SaaS) or cloud-based applications increasingly are being accepted and adopted. In our benchmark research on business intelligence and...

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        Topics: Analytics, Business Intelligence, Cloud Computing, Data Integration, Information Management

        Last week I attended salesforce.com’s Dreamforce user conference in San Francisco (Twitter #DF10). As a user of salesforce applications for the last four years in my previous positions, I was familiar with its analytic capabilities, or lack thereof. Certainly you can accomplish simple reporting and produce dashboards displaying salesforce data, which is adequate for narrowly focused reporting and analysis. However, as a user I was underwhelmed. For example, there are no built-in capabilities...

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        Topics: Sales, Salesforce.com, Analytics, Cloud Computing, Customer Service, Uncategorized

        Talend, a vendor of open source data integration tools, recently announced its acquisition of Sopera, an open source application integration company whose products are based on a service-oriented architecture (SOA). It simultaneously announced an additional $34 million of funding. As I pondered what the announcements mean, I couldn’t help but think of the bigger picture. Is this entrepreneurial action typical of an open source vendor?

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        Topics: SOA, Talend, CIO, Data Integration, Uncategorized

        There’s a lot going on in search technology still, or again, depending on your perspective. We’ve analyzed search in a business context periodically over the years. I want to provide some more analysis on the business side of search after many announcements that I have been analyzing over the last two months from Endeca, our analysis of IBM CognosMarkLogic and my analysis of QlikView, all of which include significant enhancements to existing search capabilities in their most recent product...

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        Topics: Analytics, Business Intelligence, Enterprise Search, Information Applications, Information Management

        Tableau Software officially released Version 6 of its product this week. Tableau approaches business intelligence from the end user’s perspective, focusing primarily on delivering tools that allow people to easily interact with data and visualize it.  With this release, Tableau has advanced its in-memory processing capabilities significantly. Fundamentally Tableau 6 shifts from the intelligent caching scheme used in prior versions to a columnar, in-memory data architecture in order to increase...

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        Topics: Big Data, Data Visualization, Enterprise Data Strategy, Tableau, Analytics, Business Analytics, Business Intelligence, CIO, In-Memory Computing

        Interest in and development of in-memory technologies have increased over the last few years, driven in part by widespread availability of affordable 64-bit hardware and operating systems and the performance advantages in-memory operations provide over disk-based operations. Some software vendors, such as SAP with its High-Performance Analytic Appliance (HANA) project has been advancing with momentum, have even suggested that we can put our entire analytic systems in memory.

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        Topics: Database, Enterprise Data Strategy, Analytics, Business Analytics, Business Intelligence, CIO, Complex Event Processing, In-Memory Computing, Information Management, Information Technology, IT Performance Management (ITPM)

        In the weeks leading up to and as part of its Information On Demand Conference that my colleague assessed, IBM introduced version 8.5 of InfoSphere Information Server and several related product updates. As my colleague suggested earlier, IBM has an ambitious agenda to provide comprehensive information management capabilities through a combination of product development and acquisitions. The breadth of this portfolio is impressive, and InfoSphere Information Server 8.5 makes significant strides...

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        Topics: Enterprise Data Strategy, Analytics, Business Analytics, Business Intelligence, CIO, Data Integration, IBM, Information Management, Information Technology, IT Performance Management (ITPM)

        On October 25, IBM introduced Cognos 10 at its Information on Demand and Business Analytics Forum in Las Vegas that I attended to review the technology closer from my examination at its recent IBM Business Analytics analyst summit in September. According to Rob Ashe, IBM’s general manager of business analytics, Cognos 10 has been developed for over six years. You’re probably aware that in that period IBM made a variety of acquisitions including Cognos itself. These acquisitions and their impact...

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        Topics: Enterprise Data Strategy, Performance Management, Planning, Analytics, Business Analytics, Business Intelligence, CIO, IBM, Information Management, IT Performance Management (ITPM)

        My colleague recently wrote about QlikView, noting its rapid ascent to providing a very robust support of mobile technology platforms among BI vendors and integration with SAP. On the occasion of its release of a major product revision, QlikView 10, I’d like to add my perspective on the company and its most recent release. I first learned of QlikView about five years ago while working on the TM1 product line which, like QlikView, is also a 64-bit, in-memory analytic technology supporting...

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        Topics: QlikView, Analytics, Business Intelligence, Information Management, Mobility
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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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