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        Analyst Perspectives

        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, Operational Performance, Business Analytics, Business Intelligence, Business Performance, CDH3, Cloudera, Customer & Contact Center, Information Management, Strata+Hadoop

        At this year’s Information Builders Summit, the company’s annual conference for users and analysts (Twitter: #Summit2011) in Dallas, the long-time supplier of business intelligence and information management software showed how it has been able to sustain double-digit revenue growth thanks to highly accessible and scalable software that operates on a variety of platforms and data sources. Its recent expansion into information management, master data management and integration helps...

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        Topics: Sales Performance, Social Media, Supply Chain Performance, Sustainability, Google, Playbook, RIM, Business Technology Innovation, IT Performance, IT Research, Operational Performance, Business Analytics, Business Collaboration, Business Intelligence, Business Mobility, Business Performance, CIO, Cloud Computing, Customer & Contact Center, Financial Performance, Governance, Risk & Compliance (GRC), Information Applications, Information Builders, Information Management, Location Intelligence, Mobility, Operational Intelligence, Uncategorized, Workforce Performance, Digital Technology

        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, Operational Performance, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Financial Performance, Workforce Performance

        Providing good customer service has never been easy, but today it’s more challenging than ever, because of three factors. First is the growing overlap between marketing, sales and customer service. This is driven by customers’ increased expectations about the quality of customer service, the consistency of responses they receive during interactions and privacy legislation that limits companies’ collection and use of customer information and unsolicited contact. These circumstances put pressure...

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        Topics: Customer Analytics, Customer Experience, Operational Performance, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Voice of the Customer Interactive Intelligence

        My research into customer analytics shows three important things: Text analytics are at the early adopter stage; companies still use spreadsheets as their main tool for analysis; and to move companies away from spreadsheets vendors must offer tools that are as easy to use as spreadsheets. That’s no easy task, given the huge volume and varied types of text data companies are generating and the complexity of analyzing unstructured text. However, the research also indicates that this challenge...

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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

        The Pitney Bowes Business Insight (PBBI) analyst summit and conference this week provided an opportunity to hear about the $5 billion technology provider’s strategy to become “the leader in customer communications.” This term makes sense when applied to a division of the company that brought the efficiency of the postal meter to mailrooms around the world. Of course a lot has changed for the company and for business since then. Today parent company Pitney Bowes envisions success in a future...

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        Topics: Social Media, Customer Analytics, Customer Communications, Customer Interaction Technology, Pitney Bowes, Operational Performance, Business Analytics, Business Performance, Cloud Computing, Customer & Contact Center, Customer Service, Location Intelligence, Unified Communications

        Predictive analytics can be valuable tools for performance management. When the term is applied to planning or forecasting, many people take it to mean the ability to automate plans or forecasts. It’s true that using predictive analytics correctly is likely to enhance their accuracy, but these techniques do not eliminate the need for judgment; in practice, many organizations may realize more value from applying predictive analytics to assess results than to forecast outcomes. Moreover, as...

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        Topics: Big Data, Performance Management, Planning, Predictive Analytics, Sales Performance, Supply Chain Performance, Budgeting, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Financial Performance, Information Management, Workforce Performance, Financial Performance Management, Integrated Business Planning

        I think one of best epigrams attributed to Mark Twain is, “Everyone talks about the weather but nobody ever does something about it.” This also has relevance to the situation with corporate planning and budgeting. Bemoaning its lack of value and calling for some sort of change goes back a long way, but few companies have matured their process. In the 1970s something called “zero-based budgeting” was all the rage in business and accounting periodicals. It was energetically advocated by President...

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        Topics: Planning, Predictive Analytics, Sales, Sales Performance, Supply Chain Performance, Office of Finance, Budgeting, contingency planning, Operational Performance, Business Analytics, Business Collaboration, Business Performance, Financial Performance, CFO, finance, Financial Performance Management, Integrated Business Planning

        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, Operational Performance, Business Analytics, Business Collaboration, Business Mobility, Business Performance, Customer & Contact Center, Data Integration, Informatica, Strata+Hadoop

        Over the past six years big technology corporations have been acquiring all sorts of software companies, accelerating a general consolidation of the software industry since the dot-com boom ended in 2001. The consolidation has been driven in part by the deceleration of technology innovation in the business software market. Technology evolution, however, has been steady and progressed far enough now that I think we’re about to witness a revolution in how companies use analytics in business...

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        Topics: Big Data, Mobile, Planning, Sales Performance, Supply Chain Performance, Budgeting, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Mobility, Business Performance, Cloud Computing, Financial Performance, IBM, In-memory, Workforce Performance, Cognos, acquisition
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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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