Ventana Research Analyst Perspectives

Optimizing the Business of Selling in 2017

Posted by Mark Smith on Mar 20, 2017 9:22:16 AM

I am happy to provide my personal perspective on the potential of sales organizations, processes and technology to supercharge business activity in 2017. The sales processes of organizations – whether they involve digital commerce or direct or indirect physical selling – should be part of continuous optimization efforts to reach maximum results. To do this, the people leading and running sales processes must be able to use technology that supports their responsibilities and analyzes the crucial information coming into the business. For almost 15 years, we have advocated for sales applications and tools that are necessary to optimize sales effectiveness and improve the outcomes of their sales efforts. The available portfolio is much larger than sales force automation (SFA) and involves more than the continued use of CRM, which has clear limits in its ability to manage customer relationships. The applications on offer include many facets of sales:  coaching, compensation management, contract management, configure price quote (CPQ), forecasting, quota and territory management, planning and optimization, pricing and revenue optimization, and target or market intelligence. New applications designed for sales also enable digital effectiveness that can transform organizations. Let me provide my perspective on six topics that are shaping the way sales can and should operate in 2017, and which are part of our sales research agenda for the year.

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Topics: Big Data, Sales, Machine Learning, Mobile Technology, cloud computing, Product Information Management, Sales Performance Management, analytics, digital technology, Billing and Recurring Revenue, Digital Commerce, Operations & Supply Chain, Sales and Operations Planning, Machine Learning and Cognitive Computing, Sales Enablement and Execution, Collaboration for Business, Sales Planning and Analytics

ShoreTel Offers Communications and Contact Centers

Posted by Richard Snow on Mar 16, 2017 9:45:50 AM

Until recently most organizations deployed systems on their own premises to build communications and contact center infrastructures, which often required them to integrate products from several vendors. In the past few years many vendors have moved their systems to the cloud, and others have begun as cloud-based suppliers. This trend has opened up the opportunity for more organizations to take advantage of modern communication systems and contact centers. Using the cloud for either, or both can save money and resources, reduce risk, and make available more integrated, multi-channel systems.  While the adoption of such systems has undoubtedly increased and is likely to continue to do so, our benchmark research into next-generation contact centers in the cloud finds that many organizations still prefer to remain on premises, and adoption of cloud-based systems occurs on a case-by-case basis. In addition, many organizations look for vendors that support multiple models so they have the option of starting out using one model but transitioning later to another, including to a hybrid model in which some systems are on-premises and others are cloud-based..

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Topics: Big Data, Mobile, Customer Analytics, Customer Engagement, Customer Experience, Machine Learning, Wearable Computing, cloud computing, Business Intelligence, Collaboration, Internet of Things, Contact Center, workforce optimization, analytics, Digital Commerce, Subscription Billing

2017 Big Data Prediction: A’s Replace V’s

Posted by David Menninger on Mar 1, 2017 11:11:24 PM

Big data initially was characterized in terms of “the three V’s,” volume, velocity and variety. Nearly five years ago I wrote about the three V’s as a way to explain why new and different technologies were needed to deal with big data. Since then the industry has tackled many of the technical challenges associated with the three V’s. In 2017 I propose that we focus instead on a different letter, which includes these A’s: analytics, awareness, anticipation and action. I’ll explain why each is important at this stage of big data evolution.

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Topics: data science, Machine Learning, Business Intelligence, Collaboration, Data Preparation, Internet of Things, Information Optimization, analytics, Mobile Big Data

IBM Watson and Cognitive Compliance

Posted by Robert Kugel on Jan 2, 2017 10:30:51 PM

Ventana Research awarded our Governance, Risk and Compliance (GRC) Business Innovation Award for 2016 to IBM for IBM Regulatory Compliance Analytics, powered by Watson (IRCA). This application of cognitive analytics is designed to streamline the identification of potential regulatory requirements and suggest methods for compliance. In so doing the cloud-based system can cut the time and cost of compliance while creating an effective means of ongoing management and control of compliance processes.

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Topics: GRC, Machine Learning, Dodd-Frank, Risk Analytics, compliance, finance, risk management, Financial Services, Watson

IBM and The World of Watson

Posted by David Menninger on Dec 16, 2016 11:52:10 PM

IBM recently held its inaugural World of Watson event. Formerly known as IBM Insight, and prior to that IBM Information on Demand, the annual event, attended by 17,000 people this year, showcases IBM’s data and analytics and the broader IBM efforts in cognitive computing. The theme for the event, as you might guess, was the Watson family of cognitive computing products. I, for one, was glad to spend more time getting to know the Watson product line, and I’d like to share some of my observations from the event.

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Topics: Big Data, data science, Machine Learning, cloud computing, cloud computing, Business inteligence, Data Governance, Data Integration, Internet of Things, Information Optimization, analytics, analytics, Machine Learning and Cognitive Computing