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...
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Topics:
Big Data,
Wearable Computing,
Analytics,
Internet of Things,
Digital Technology
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...
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Topics:
Data Science,
Machine Learning,
Analytics,
Business Intelligence,
Collaboration,
Data Preparation,
Internet of Things,
Information Optimization
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,
Human Capital Management,
Mobile Technology,
Office of Finance,
Continuous Planning,
Analytics,
Business Intelligence,
Cloud Computing,
Collaboration,
Financial Performance Management,
Price and Revenue Management,
Inventory Optimization,
Operations & Supply Chain,
Enterprise Resource Planning,
Sales and Operations Planning,
Machine Learning and Cognitive Computing,
ERP and Continuous Accounting
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,
Analytics,
Data Governance,
Data Integration,
Data Preparation,
Information Management,
Internet of Things,
Machine Learning and Cognitive Computing,
Machine Learning Digital Technology
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...
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Topics:
Mobile,
Customer Analytics,
Customer Engagement,
Customer Experience,
Office of Finance,
Analytics,
Cloud Computing,
Collaboration,
Customer Service,
Internet of Things,
Contact Center
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....
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Topics:
Big Data,
Data Science,
Mobile Technology,
Analytics,
Business Intelligence,
Cloud Computing,
Collaboration,
Internet of Things,
Machine Learning and Cognitive Computing,
Machine Learning Digital Technology
I’ve long advocated the use of effective technology in the tax function, especially for organizations that operate in multiple jurisdictions or have complex legal structures manage direct tax provision and analysis using outdated or inappropriate tools. Our Office of Finance benchmark research reveals that most organizations use spreadsheets to manage their tax provision and analysis: Half (52%) rely solely on spreadsheets, and another 38 percent mainly use them. I recommend to corporations...
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Topics:
Big Data,
Office of Finance,
Continuous Planning,
Analytics,
Financial Performance Management,
ERP and Continuous Accounting
NICE is a longstanding provider of contact center systems. At the beginning of 2016 NICE acquired Nexidia, a provider of customer analytics, which raised questions about the future of the acquired company, its products and its customers. During a recent briefing SVP of product management Larry Skowronek discussed these issues. Nexidia now trades as “a NICE analytics company,” which is unusual because previous NICE acquisitions have been absorbed into the overall company and the brand...
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Topics:
Analytics
The business intelligence market is bounded on one side by big data and on the other side by data preparation. That is, to maximize their performance in using information, organizations have to collect and analyze ever increasing volumes of data while the tools available are constantly evolving in the big data ecosystem that I have written about. In our benchmark research on big data analytics, half (51%) of organizations said they want to access big data using their existing BI tools. At the...
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Topics:
Big Data,
Analytics,
Business Intelligence,
Collaboration,
Data Integration,
Data Preparation,
Information Management,
Internet of Things
Price and revenue optimization (PRO) is a business discipline used to produce demand-based pricing; it applies market segmentation techniques to achieve strategic objectives such as increased profitability or greater market share. In essence, PRO enables companies to surf the demand curve using dynamic rather than fixed pricing to achieve the most desirable trade-offs between revenue volume and profit margins. The trade-off is defined by strategic factors such as the company’s market position,...
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Topics:
Big Data,
Data Science,
Sales,
Office of Finance,
Analytics,
Cloud Computing,
Sales Performance Management,
Financial Performance Management,
Price and Revenue Management