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        Analyst Perspectives

        The digital economy has changed the way many companies provide products. Some no longer deliver packaged products but provide them as services over a network, typically the Internet. Telecommunications providers in particular are familiar with this business model and have developed processes and systems that use innovations such as product bundles that include elements of fixed charges (such as cost of installation) and variable charges based on usage (such as the number of calls made) and...

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        Topics: Big Data, Sales Performance, Customer Analytics, Customer Engagement, Customer Experience, Marketing, Customer Performance, Operational Performance, Analytics, Cloud Computing, Customer Service, Financial Performance, CRM

        Splunk’s annual gathering, this year called .conf 2015, in late September hosted almost 4,000 Splunk customers, partners and employees. It is one of the fastest-growing user conferences in the technology industry. The area dedicated to Splunk partners has grown from a handful of booths a few years ago to a vast showroom floor many times larger. While the conference’s main announcement was the release of Splunk Enterprise 6.3, its flagship platform, the progress the company is making in the...

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        Topics: Big Data, Predictive Analytics, Machine Learning, IT Analytics & Performance, Operational Performance, Plunk, Analytics, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Information Management, Internet of Things, Operational Intelligence, Data, Information Optimization

        The concept and implementation of what is called big data are no longer new, and many organizations, especially larger ones, view it as a way to manage and understand the flood of data they receive. Our benchmark research on big data analytics shows that business intelligence (BI) is the most common type of system to which organizations deliver big data. However, BI systems aren’t a good fit for analyzing big data. They were built to provide interactive analysis of structured data sources using...

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        Topics: Big Data, Predictive Analytics, Software as a Service, IT Analytics & Performance, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Information Management, Operational Intelligence, Data, Information Optimization

        One of the key findings in our latest benchmark research into predictive analytics is that companies are incorporating predictive analytics into their operational systems more often than was the case three years ago. The research found that companies are less inclined to purchase stand-alone predictive analytics tools (29% vs 44% three years ago) and more inclined to purchase predictive analytics built into business intelligence systems (23% vs 20%), applications (12% vs 8%), databases (9% vs...

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        Topics: Big Data, Microsoft, Predictive Analytics, SAS, Social Media, alteryx, Customer Performance, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Operational Intelligence, Oracle, Information Optimization, SPSS, Rapidminer

        I recently attended my first U.S. Dreamforce, the annual salesforce.com event designed to showcase its products and services as well as those of its partners, and I was impressed. I was told that Dreamforce ‘15 would be big, and it was – just about every hotel, restaurant, meeting room in San Francisco seemed to have been taken over for the week, and still the company had to bring in a cruise ship to accommodate people and events. I was told it would be manic, and it was – more than 100,000...

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        Topics: Big Data, Sales Performance, Social Media, Customer Analytics, Customer Experience, Marketing, Mobile Technology, Speech Analytics, Wearable Computing, Customer Performance, Analytics, Business Analytics, Cloud Computing, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics

        Our benchmark research into predictive analytics shows that lack of resources, including budget and skills, is the number-one business barrier to the effective deployment and use of predictive analytics; awareness – that is, an understanding of how to apply predictive analytics to business problems – is second. In order to secure resources and address awareness problems a business case needs to be created and communicated clearly wherever appropriate across the organization. A business case...

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        Topics: Big Data, Microsoft, Predictive Analytics, SAS, Social Media, alteryx, Customer Performance, Operational Performance, Analytics, Business Analytics, Business Intelligence, Operational Intelligence, Oracle, Information Optimization, SPSS, Rapidminer

        As I discussed in the state of data and analytics in the cloud recently, usability is a top evaluation criterion for organizations in selecting cloud-based analytics software. Data access of cloud and on-premises systems are essential antecedents of usability. They can help business people perform analytic tasks themselves without having to rely on IT. Some tools allow data integration by business users on an ad hoc basis, but to provide an enterprise integration process and a governed...

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        Topics: Big Data, Sales Performance, Software as a Service, Mobile Technology, Customer Performance, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Mobility, Cloud Computing, Information Management, Operational Intelligence, Data

        Calabrio is a vendor of workforce optimization software whose core product is Calabrio ONE. It includes the common workforce optimization applications: call recording, quality management, workforce management and analytics. The company is rated Hot in our 2015 Workforce Optimization Value Index, and its product suite is the highest rated in the Usability category. Since our assessment, each of the modules has undergone upgrades, Calabrio has introduced more cloud-based services, and its...

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        Topics: Big Data, Customer Feedback Management, Customer Performance, Business Analytics, Cloud Computing, Call Center

        Through a continuing program of acquisitions and internal development, NICE Systems has transitioned from being a vendor of workforce optimization systems to one focused on aspects of the customer experience, notably voice of the customer (VOC), customer engagement analytics and customer journey mapping. It is also moving to cloud-based services from products installed on customers’ premises and is taking a business-solution approach (providing previously integrated and configured products that...

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        Topics: Big Data, Customer Feedback Management, Customer Performance, Business Analytics, Business Collaboration, Cloud Computing, Call Center

        From its history of managing postal mail, Pitney Bowes has expanded into products for data management, analytics and location intelligence, as my colleague Mark Smith noted. Continuing this expansion through internal development and acquisitions of vendors such as Portrait Software and RTC, it has added to its portfolio products that include customer information management and customer engagement.

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        Topics: Big Data, Customer Performance, Business Analytics, Business Collaboration, Cloud Computing, Call Center
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        Our Analyst Perspective Policy

        • 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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