Ventana Research Analyst Perspectives

IoT Challenges Organization and Technological Readiness

Posted by David Menninger on Mar 14, 2017 11:04:56 PM

The Internet of Things (IoT) is a technology that extends digital connectivity to devices and sensors in homes, businesses, vehicles and potentially almost anywhere. This advance enables virtually any device to transmit its data, to which analytics can then be applied to facilitate monitoring and a range of operational functions. IoT can deliver value in several ways. It can provide organizations with more complete data about their operations, which helps them improve efficiencies and so reduce costs. It also can deliver a competitive advantage by enabling them to reduce the elapsed time between an event occurring and operational responses, actions taken or decisions made in response to it.

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Topics: Big Data, Wearable Computing, Internet of Things, analytics, digital technology

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

Research Agenda Will Track Big Data and Information Management in 2017

Posted by David Menninger on Feb 15, 2017 9:09:50 AM

Big data has become an integral part of information management. Nearly all organizations have some need to access big data sources and produce actionable information for decision-makers. Recognizing this connection, we merged these two topics when we put together our recently published research agendas for 2017. As we plan our research, we focus on current technologies and how they can be used to improve an organization’s performance. We then share those results with our readers.

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Topics: Big Data, data science, Data Governance, Data Integration, Data Preparation, Information Management, Internet of Things, analytics, Machine Learning and Cognitive Computing, Machine Learning Digital Technology

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