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
IBM’s Vision user conference brings together customers who use its software for financial and sales performance management (FPM and SPM, respectively) as well as governance, risk management and compliance (GRC). Analytics is a technology that can enhance each of these activities. The recent conference and many of its sessions highlighted IBM’s growing emphasis on making more sophisticated analytics easier to use by – and therefore more useful to – general business users and their organizations....
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Topics:
Big Data,
Planning,
Predictive Analytics,
Governance,
Human Capital,
Budgeting,
Customer Performance,
Operational Performance,
Analytics,
Business Analytics,
Business Performance,
Cloud Computing,
Financial Performance,
Visualization
Companies trust their tax departments with a highly sensitive and essential task. Direct (income) taxes usually are the second largest corporate expense, after salaries and wages. Failure to understand and manage this liability is expensive, whether because taxes are overpaid or because of fines and interest levied for underpayment. Moreover, taxes are a political issue, and corporations – especially larger ones – must be mindful of the reputational implications of their tax liabilities.
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Topics:
Big Data,
Analytics,
Business Performance,
Financial Performance
Adaptive Insights held its annual user group meeting recently. A theme sounded in several keynote sessions was the importance of finance departments playing a more strategic role in their companies. Some participating customers described how they have evolved their planning process from being designed mainly to meet the needs of the finance department into a useful tool for managing the entire business. Their path took them from doing basic financial budgeting to planning focused on improving...
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Topics:
Planning,
Predictive Analytics,
Human Capital,
Marketing,
Reporting,
Sales Forecasting,
Budgeting,
Customer Performance,
Operational Performance,
Analytics,
Business Analytics,
Business Collaboration,
Business Performance,
Financial Performance,
Business Planning,
Supply Chain,
Demand Planning,
Integrated Business Planning,
Project Planning
Ventana Research recently completed the most comprehensive evaluation of analytics and business intelligence products and vendors available anywhere. As I discussed recently, such research is necessary and timely as analytics and business intelligence is now a fast-changing market. Our Value Index for Analytics and Business Intelligence in 2015 scrutinizes 15 top vendors and their product offerings in seven key categories: Usability, Manageability, Reliability, Capability, Adaptability, Vendor...
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Topics:
Big Data,
Data Quality,
Predictive Analytics,
Gartner,
Governance,
Customer Performance,
Analytics,
Business Analytics,
Business Intelligence,
Business Performance,
Cloud Computing,
Information Applications,
Information Management,
Operational Intelligence,
Value Index,
Strata+Hadoop
Just a few years ago, the prevailing view in the software industry was that the category of business intelligence (BI) was mature and without room for innovation. Vendors competed in terms of feature parity and incremental advancements of their platforms. But since then business intelligence has grown to include analytics, data discovery tools and big data capabilities to process huge volumes and new types of data much faster. As is often the case with change, though, this one has created...
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Topics:
Big Data,
Data Quality,
Predictive Analytics,
Gartner,
Customer Performance,
Analytics,
Business Analytics,
Business Intelligence,
Business Performance,
Cloud Computing,
Information Applications,
Information Management,
Value Index,
Strata+Hadoop
Managing prices has always been an activity of keen interest to businesses, but it has become even more critical to do it well. Over the past decade many companies have found their ability to raise prices has been constrained by intense competition resulting from Internet commerce, global competition and other factors. One tool for dealing with this pressure is price and revenue optimization (PRO), an analytic methodology that calculates how demand varies at different price levels and then uses...
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Topics:
Big Data,
Performance Management,
Sales,
Office of Finance,
Operational Performance Management (OPM),
Analytics,
Business Analytics,
Business Performance Management (BPM),
Financial Performance Management (FPM),
Sales Performance Management (SPM),
analytical application,
Price Optimization
Enghouse Interactive is one of three divisions of Enghouse Systems, a publicly traded Canadian company founded in 1984. The other two divisions provide network technology to telecommunications providers and applications for public and private transportation companies; Enghouse Interactive owns the company’s three contact center systems. The corporate group has a history of growth – it now has a market capitalization of more than US$1 billion - achieved both organically and through an aggressive...
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Topics:
Big Data,
Customer Analytics,
Customer Experience,
Customer Feedback Management,
Speech Analytics,
Customer Performance,
Analytics,
Cloud Computing,
Customer Service,
Call Center,
Contact Center,
Contact Center Analytics,
CRM,
Text Analytics
Competition for customers is more intense today than ever before, and companies struggle to differentiate themselves from the competition. Our research repeatedly finds that customer experience is a key differentiator. Our research into next-generation customer engagement said the impetus for improving engagement is to improve the customer experience in almost three quarters (74%) of participants. One increasingly popular way to do this is to use customer journey maps, which show how companies...
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Topics:
Big Data,
Customer Analytics,
Customer Experience,
Customer Feedback Management,
Speech Analytics,
Customer Performance,
Analytics,
Cloud Computing,
Customer Service,
Call Center,
Contact Center,
Contact Center Analytics,
CRM,
Text Analytics