Ventana Research Analyst Perspectives

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

The Office of Finance Research Agenda for 2017

Posted by Robert Kugel on Feb 16, 2017 6:33:20 AM

Senior finance executives and finance organizations that want to improve their performance must recognize the value of technology as a key tool for doing high-quality work. Consider how poorly your organization would perform if it had to operate using 25-year-old software and hardware. Having the latest technology isn’t always necessary, but it’s important for executives to understand that technology shapes a finance organization’s ability to improve its overall effectiveness.

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Topics: Big Data, data science, Mobile, Mobile Technology, Office of Finance, cloud computing, Continuous Planning, revenue recognition, Business Intelligence, Collaboration, analytics, Financial Performance Management, recurring revenue, Price and Revenue Management, Inventory Optimization, Billing and Recurring Revenue, Operations & Supply Chain, Enterprise Resource Planning, Sales and Operations Planning, Machine Learning and Cognitive Computing, ERP and Continuous Accounting, Collaboration for Business

Customer Experience Research Agenda for 2017

Posted by Richard Snow on Feb 14, 2017 5:33:01 AM

In 2016 Ventana Research saw a significant shift in the customer engagement and contact center software markets. Our benchmark research into the next-generation contact center in the cloud shows that for 70 percent of companies, customer experience is and will be an important way of competing; the largest growth in ways of competing is to introduce digital self-service, which will increase by 12 percent. To support those changes, organizations have introduced more channels of engagement, to the extent that our research shows the average has grown to eight channels. Our benchmark research into next-generation customer engagement shows that in nearly half (47%) of organizations these channels are managed as silos, which indicates that most organizations still operate multiple channels rather than supporting omnichannel engagement. The next-generation contact center research confirms that customer engagement is an enterprise-wide issue but one-third (33%) of companies struggle to provide consistent responses across touch points.

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Topics: Mobile, Customer Analytics, Customer Engagement, Customer Experience, cloud computing, Collaboration, Customer Service, Internet of Things, Contact Center, workforce optimization, analytics, Billing and Recurring Revenue

Research Agenda Will Guide Business Analytics in 2017

Posted by David Menninger on Feb 8, 2017 8:19:39 AM

Ventana Research analysts recently published our research agendas for 2017. As we put together these plans we think about the forces that are shaping the markets that we cover and then craft agendas that study these issues to provide insights for our community. I’ve been working in the business intelligence (BI) and analytics market for nearly 25 years, and throughout that time the industry has been trying to make analytics useful to increasingly wider audiences. That focus continues to today. Better search and presentation methods, including visual discovery and natural-language processing, are promising ways to engage more users. We also see organizations supporting their users in specific functional roles with relevant and accessible analytics. My colleagues examine these issues as part of their agendas in the Office of FinanceSalesMarketingCustomer ExperienceOperations and Supply Chain, and Human Capital Management. While their agendas include analytics within specific domains, my own research focuses on a range of analytics issues across domains including cloud computing, mobility, collaboration, data science and the Internet of Things.

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Topics: Big Data, data science, Mobile Technology, cloud computing, Business Intelligence, Collaboration, Internet of Things, analytics, Machine Learning and Cognitive Computing, Machine Learning Digital Technology, Collaboration for Business