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        Analyst Perspectives

        Actuate, which develops commercial versions of the open source Business Intelligence Reporting Tool (BIRT) technology, recently held a one-day event in London. My colleague Mark Smith covers Actuate’s products, but I was impressed by the simplicity of the company’s message, the core of which is that the ActuateOne suite of products allows companies to extract data from multiple data sources, use one product to analyze it and present the results in multiple formats in response to individual user...

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        Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management

        Tibco recently introduced Spotfire 4.0, the most recent version of its interactive discovery and business intelligence (BI) tool. Spotfire comes at BI through visualization. It uses in-memory processing and good user interface design to develop highly interactive displays of data. Version 4.0 attempts to enhance Spotfire’s dashboard capabilities and offers integration with enterprise collaboration tools. The former capabilities are necessary to broaden Spotfire’s appeal and applicability for...

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        Topics: Sales, Sales Performance, Social Media, Spotfire, Supply Chain Performance, Operational Performance, Business Analytics, Business Intelligence, Business Performance, Chatter, Collaboration, Customer & Contact Center, Dashboards, Financial Performance, Tibco, Twitter, Workforce Performance

        Cloudera’s recent Hadoop World 2011 event confirmed that the world of big data is getting even bigger. As I wrote of last year’s event, Hadoop, the open source large-scale data processing technology, has gone mainstream. And while 75% of the audience attended this year for the first time and so may not have realized the breadth of Hadoop’s acceptance, statistics announced in the opening keynote show widespread use of it. Mike Olson, Cloudera CEO, reported that the event was sold out, with 1,400...

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        Topics: Big Data, Datameer, MapR, Sales Performance, Social Media, Supply Chain Performance, Operational Performance, Business Analytics, Business Intelligence, Business Performance, Cloudera, Customer & Contact Center, Financial Performance, Hortonworks, Informatica HParser, Karmasphere, NetApp, Workforce Performance, Strata+Hadoop

        It never ceases to amaze me, when you ask people what their business objectives are and how they are measured, how often the two have little in common. This has been the case consistently in the research I have carried out over the last eight years into customer service and contact center performance. The main objective for contact centers is to improve customer satisfaction, but the key performance metric is average call-handling time. Despite hours of contemplation and discussions with...

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        Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management

        For years building a call center was technically challenging as it typically involved integrating proprietary products from multiple vendors. Although more vendors now offer integrated solutions, even these can difficult to administer and use because of variable user interfaces and gaps in the integration. These challenges become harder as companies expand their contact centers to support multiple communication channels and agents of several kinds dispersed over multiple locations.

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        Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Experience, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Zeacom

        IBM’s Information on Demand (IOD) event showcased its products for both information management and business intelligence. I’ve covered the information management aspects of IOD in a separate post. In this post I’ll look at the business intelligence aspects. Earlier this year IBM made predictive analytics a major focus of its Business Analytics analyst summit, an event that often foreshadows the IOD messages. In addition to predictive analytics, IBM emphasized both large-scale “big” data and a...

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

        IBM made more than two dozen announcements in conjunction with its recent Information on Demand (IOD) event. In this post I’ll address the impact of IOD from an information management perspective and in a separate post shortly from an analytics perspective. Trying to organize the mass of information IBM brought forth at IOD 2011, I group the announcements into three general categories of enhancements and extensions to InfoSphere, big data (which is technically part of InfoSphere) and databases.

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

        Informatica recently introduced HParser, an expansion of its capabilities for working with Hadoop data sources. Beginning with Version 9.1, introduced earlier this year, Informatica’s flagship product has been able to access data stored in HDFS as either a source or a target for information management processes. However, it could not manipulate or transform the data within the Hadoop environment. With this announcement, Informatica starts to bring its data transformation capabilities to Hadoop.

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        Topics: Big Data, MapReduce, Sales Performance, Social Media, Supply Chain Performance, Operational Performance, Business Analytics, Business Performance, Customer & Contact Center, Data Integration, Financial Performance, Information Management, Workforce Performance, Strata+Hadoop

        It has been a busy year for relationships among vendors in the contact center market and despite tough economic times, it doesn’t look like things are slowing down. For example, early this year Salesforce.com acquired Radian6 to strengthen its position as a supplier for what it calls “the social enterprise.” This is not a term I particularly like, but there is no doubt CEOs are interested in understanding what customers are saying about them on social media, and so this looks like a smart move....

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        Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Workforce Performance, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management, [Vendor references]

        Throughout this year we have seen more vendors begin to offer a contact center in the cloud. The latestis Transera, which offers an integrated set of products that focuses on enabling interactions for customer service agents. It has four main groups of products: operations management, agent management, media and call management, and routing and queuing. 

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        Topics: Predictive Analytics, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management, Transera
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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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