Ventana Research Analyst Perspectives

Domo Innovates Analytics for Business

Posted by David Menninger on Apr 15, 2017 12:37:06 AM

Some 3,000 people attended Domo’s recent customer event, called Domopalooza. That’s nearly double the attendance of the previous event, which my colleague Mark Smith covered. Formerly a bit “stealthy,” Domo has started sharing more information, some of which I’ll pass along, as well as observations about product announcements made at the event.

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

SAS Brings Portfolio of Data Science with Viya

Posted by David Menninger on Apr 5, 2017 9:46:58 AM

I recently attended SAS Institute’s analyst relations conference. There the company provided updates on its financial performance and its Viya platform and a glimpse into some of its future plans.

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Topics: Big Data, data science, Mobile Technology, cloud computing, business intelligence, Data Governance, Data Integration, Data Preparation, Internet of Things, Information Optimization, analytics, Machine Learning and Cognitive Computing, Mobile Big Data, Machine Learning Digital Technology, Collaboration for Business

Digital Process Reengineering Drives Business Change

Posted by Robert Kugel on Mar 23, 2017 9:28:07 AM

Business process reengineering was a consulting fashion in the early 1990s that spurred many companies to purchase their first ERP systems. BPR proposes a fundamental redesign of core business processes to achieve substantial improvements in market and customer responsiveness, productivity, cycle times and quality. ERP systems support business process reengineering by guiding the step-by-step execution of the redesigned process to ensure that it is performed consistently. They also automate the handoffs between individuals and departments to accelerate completion of that process.

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Topics: Big Data, data science, Mobile, Customer Analytics, Customer Experience, Machine Learning, Office of Finance, Wearable Computing, cloud computing, Continuous Planning, Business Intelligence, Data Integration, Internet of Things, analytics, Financial Performance Management, digital technology, Digital Marketing, Mobile Marketing, Digital Commerce, Operations & Supply Chain, Enterprise Resource Planning, Machine Learning and Cognitive Computing, ERP and Continuous Accounting, Sales Planning and Analytics

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

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