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        Analyst Perspectives

        I recently attended the annual SAS analyst summit to hear the latest company, product and customer growth news from the multi-billion-dollar analytics software provider. This global giant continues to grow its business and solutions to help with fraud prevention, marketing and risk. It lets users apply its analytic and statistical technology in practical applications for business. SAS can meet midsized businesses’ demand with packaging and pricing to ensure it is not seen as only affordable to...

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        Topics: Big Data, Predictive Analytics, Sales Performance, SAS, Fraud, GRC, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, CIO, Cloud Computing, Customer & Contact Center, Data Integration, Financial Performance, Governance, Risk & Compliance (GRC), Information Applications, Information Management, Operational Intelligence, Risk

        Organizations have been talking about how to effectively analyze customer data for more than three decades. This has evolved into a desire for a “360-degree view of the customer” - a comprehensive picture drawn from all available data. As yet, not many organizations have achieved it. Our recent research into customer relationship maturity shows that fewer than one-third (31%) of organizations produce a single set of reports and analysis that the whole organization uses to support...

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        Topics: Social Media, Customer Analytics, Customer Experience, Speech Analytics, Voice of the Customer, Analytics, Business Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics

        I’ve frequently commented on the artificiality of the emerging software category of governance, risk and compliance (GRC). The term is used to a cover a combination of what were once viewed as stand-alone software categories, including IT governance, audit documentation and industry-specific compliance management, to name three examples. While it’s still common for specific types of software to be purchased piecemeal by different departments, these disparate areas have started a long...

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        Topics: Big Data, Performance Management, Predictive Analytics, Customer Experience, Governance, GRC, Management, Operational Performance, Analytics, Business Performance, Financial Performance, compliance, finance, Risk, financial risk management, IT Risk Management, Sarbanes Oxley, SOX

        I recently wrote that Salesforce.com was a vendor to watch during 2013, and during a recent briefing I heard more messages that support this view. First there was confirmation about financials. Even though the company is only 14 years old and the overall economy is not exactly booming, revenues for 2012 were up 35 percent to $3.05 billion, with Europe matching this with a 37 percent year-on-year growth. This not only shows the company is here to stay, but that the cloud is now well and truly...

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        Topics: Sales Performance, Salesforce.com, Social Media, Customer Analytics, Customer Experience, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics

        Big data analytics is being offered as the key to addressing a wide array of management and operational needs across business and IT. But the label “big data analytics” is used in a variety of ways, confusing people about its usefulness and value and about how best to implement to drive business value. The uncertainty this causes poses a challenge for organizations that want to take advantage of big data in order to gain competitive advantage, comply with regulations, manage risk and improve...

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        Topics: Predictive Analytics, Sales Performance, SAP, IT Performance, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Financial Performance, IBM, Information Applications, Information Management, Data Discovery, big analytics

        Data is a commodity in business. To become useful information, data must be put into a specific business context. Without information, today’s businesses can’t function. Without the right information, available to the right people at the right time, an organization cannot make the right decisions nor take the right actions, nor compete effectively and prosper. Information must be crafted and made available to employees, customers, suppliers, partners and consumers in the forms they want it at...

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        Topics: Big Data, Analytics, Business Analytics, Cloud Computing, In-Memory Computing, Information Applications, Information Management, Information Optimization, Strata+Hadoop, Digital Technology

        Like me, you have no doubt spotted the propensity for software vendors and consultants to call anything new “2.0”; for example, we have ERP 2.0 and CRM 2.0. Just recently during a joint Aspect and Microsoft presentation, the companies went one step further and introduced the concept of the 2.0 customer meeting the 2.0 company. My first reaction was one of horror, but as I thought about it, it became clear that customers have changed and so companies need to change to keep up – welcome to the...

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        Topics: Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Mobile Apps, Self-service, Analytics, Business Analytics, Business Collaboration, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Vendor(s), Workforce Force Optimization

        I recently attended the Unified Communication Expo exhibition and conference in London to find out how much communications has been changing. As I entered the exhibition center the first thing I noticed was the huge variety of vendors on show, everything from major brands in the telecommunications industry (Aspect, AT&T, BT, Cisco, Mitel, Nokia and Siemens Enterprise Communications) to some major brands perhaps not so associated with telecommunications (Dell, Citrix, Google and Microsoft), to...

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        Topics: Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Mobile Apps, Self-service, Analytics, Business Collaboration, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Vendor(s), Workforce Force Optimization

        I was discussing the United States Securities and Exchange Commission’s (SEC) eXtensible Business Reporting Language (XBRL) mandate with a former head of investor relations at a Fortune 100 company. His take on it is much the same as that of everyone else involved with corporate reporting: it doesn’t produce much value and costs a bundle to comply. I related to him my thoughts on the lack of progress I saw in making the XBRL mandate more useful to corporations and investors alike. Making XBRL...

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        Topics: Office of Finance, Reporting, extended close, US-GAAP, XBRL, Analytics, Business Performance, Financial Performance, CFO, compliance, financial reporting, FPM, SEC, Digital Technology

        Human capital analytics used to be simple. It focused on compliance reporting, showed basic information and was an afterthought in most applications.  Today analytics is the centerpiece of many human capital management applications and involves many sophisticated tools, because it delivers the some of the greatest value of any process in all HCM.  Our next-generation workforce management benchmark research found that 61 percent of companies surveyed are planning to invest in improving their...

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        Topics: HCM, OrcaEyes, Analytics, Business Analytics, Cloud Computing, Information Applications, Workforce Performance, Talent Management, Workforce Planning
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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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