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        ISG Software Research Analyst Perspectives

        Our recently completed benchmark research on how finance departments use analytics makes clear that while they have a distinct competence in this area and execute the basics well, a majority of companies are immature in their use of advanced finance analytics. Regardless of industry or geography, few finance departments use predictive analytics or delve into important areas such as strategic profitability management. This is of note because these undertakings are no longer difficult to pursue:...

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        Topics: Predictive Analytics, Office of Finance, Finance Analytics, Analytics, Business Analytics, Business Performance, Financial Performance, CFO

        In my research area, a lot is said and written these days about optimizing the customer experience. Some say it is done by improving key performance metrics such as customer satisfaction (CSAT), net promoter score (NPS) and customer effort score (CES). Others say customer experience management (CEM) is the “new CRM”; some think it is part of a multichannel service strategy, and for others it is as simple as managing social media. In my view it takes all of these, and other efforts, to optimize...

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        Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Experience, Social CRM, Speech Analytics, Voice of the Customer, Cicero, Cincom, MarketTools, ResponseTek, Operational Performance, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Upstream Works, Confirmit, OpenSpan, Verint

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

        If you look at the SAS Institute home page it appears easy to identify what it does – “the leader in business analytics software and services, and the largest independent vendor in the business intelligence market.” My colleague recently assessed them as the multi-billion dollar business analytics supplier which I would agree. However, at the company’s recent analyst event I learned that this description only skims the surface of what it really does; even SAS CMO Jim Davis said he couldn’t be...

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        Topics: Predictive Analytics, SAS, Social Media, Customer Analytics, Customer Data Management, 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

        Ventana Research recently completed groundbreaking benchmark research on how finance organizations use analytics these days. Of course, analytics have been a mainstay of finance organizations since people started using accounting ratios to assess the health and performance of a business. Yet perhaps because traditional analytics are so deeply entrenched, finance departments execute the basics well but don’t take the next step to fully utilize the power of information technology to use analytics...

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        Topics: Predictive Analytics, Sales Performance, SAP, SAS, Office of Finance, Operational Performance, Analytics, Business Intelligence, Business Performance, Financial Performance, IBM, Oracle, Cognos, Financial Performance Management

        In the customer service and contact center markets we used to talk about phone calls, letters, faxes and email; now we talk about “communications,” “interactions,” “contacts” and “touch points.”These four terms are used almost interchangeably to talk generally about actions involving customers and can include all forms of communication – calls, documents (letters, email, forms and surveys), website visits, text messages, instant message (chat) sessions and social media – over all types of...

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

        Two software applications I follow, price and revenue optimization (PRO) and sales compensation and incentives, can be highly complementary when used together. Unfortunately, since they typically are developed and sold by different kinds of software vendors, scant attention has been paid to the value of using them in tandem. I advise companies that have adopted a PRO strategy to use an incentive management application also to support and reinforce their optimization efforts. It is also part of...

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        Topics: Predictive Analytics, Sales, Sales Performance, Human Capital Management, Office of Finance, Operational Performance, Business Analytics, Business Performance, Financial Performance, Workforce Performance, Price Optimization, Profitability

        While the contact center business is not the most dynamic market, it is undergoing more changes than I have ever seen. One of the biggest changes is coming about because of cloud computing. This trend was led by salesforce.com, and the impact is now being felt in the contact center market as more vendors start to provide a “contact center in the cloud.” I recently wrote about inContact , one of the first vendors to provide a full contact center in the cloud. Recently inContact announced an...

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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, InContact, 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, Siemens Enterprise Communications

        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

        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
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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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