Longview’s recent Dialog user group meeting highlighted the company’s continued commitment to providing much needed automation tools for improving tax department performance – tools that enable the tax function to play a more strategic role in the management of a company. The sessions also covered the capabilities contained in the company’s latest release, Longview 7.2 Update 2 and gave customers a detailed product evolution roadmap following their merger with arcplan.
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Topics:
Big Data,
LongView,
Analytics,
Business Performance,
Financial Performance
Recently my colleague Tony Cosentino wrote an analyst perspective asserting that big data analytics will displace net promoter score (NPS) for more effectively measuring the entire customer experience. This prompted a response from Maxie Schmidt-Subramanian, asserting that big data and NPS aren’t the only ways to measure customer experience success. The main point of Tony’s piece, as I interpret it, is that NPS is just a number, but big data analytics can reveal much more about customer...
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Topics:
Big Data,
Customer Performance,
Operational Performance,
Business Analytics,
Business Collaboration,
Business Performance,
Cloud Computing,
Call Center
The Performance Index analysis we performed as part of our next-generation predictive analytics benchmark research shows that only one in four organizations, those functioning at the highest Innovative level of performance, can use predictive analytics to compete effectively against others that use this technology less well. We analyze performance in detail in four dimensions (People, Process, Information and Technology), and for predictive analytics we find that organizations perform best in...
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Topics:
Big Data,
Microsoft,
Predictive Analytics,
alteryx,
Operational Performance Management (OPM),
Customer Performance,
Analytics,
Business Analytics,
Business Intelligence,
Business Performance,
Location Intelligence,
Oracle,
Information Optimization
To impact business success, Ventana Research recommends viewing predictive analytics as a business investment rather than an IT investment. Our recent benchmark research into next-generation predictive analytics reveals that since our previous research on the topic in 2012, funding has shifted from general business budgets (previously 44%) to line of business IT budgets (previously 19%). Now more than half of organizations fund such projects from business budgets: 29 percent from general...
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Topics:
Big Data,
Microsoft,
Predictive Analytics,
alteryx,
Customer Performance,
Analytics,
Business Analytics,
Business Intelligence,
Operational Intelligence,
Oracle,
Business Performance Management (BPM),
Rapidminer
My research and experience show that contact center agents and others handling customer interactions face the continuing challenge of meeting customer expectations while keeping down the cost of handling interactions. Our benchmark research into the agent desktop and customer service finds that one obstacle to meeting these dual objectives is that users have to access multiple systems – typically four or five – to resolve a customer interaction. The research shows that this impacts efficiency...
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Topics:
Customer Experience,
Customer Performance,
Cloud Computing,
Call Center
Our benchmark research on next-generation business planning finds that a large majority of companies rely on spreadsheets to manage planning processes. For example, four out of five use them for supply chain planning, and about two-thirds for budgeting and sales forecasting. Spreadsheets are the default choice for modeling and planning because they are flexible. They adapt to the needs of different parts of any type of business. Unfortunately, they have inherent defects that make them...
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Topics:
Planning,
Predictive Analytics,
Marketing Planning,
Reporting,
Sales Forecasting,
Budgeting,
Customer Performance,
Operational Performance,
Analytics,
Business Analytics,
Business Collaboration,
Business Performance,
Financial Performance,
Business Planning,
Demand Planning,
Integrated Business Planning
Our benchmark research into next-generation customer engagement finds that the top priorities in customer service for companies are to improve the customer experience (said 74%) and their customer service performance (70%). To do this, the technological steps most companies expect to improve customer engagement are to deploy collaboration systems, redesign the customer portal, deploy internal mobile applications, deploy mobile customer service apps and use social media for customer service. All...
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Topics:
Big Data,
Customer Performance,
Business Analytics,
Business Collaboration,
Cloud Computing,
Call Center