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
Our benchmark research into big data analytics shows that marketing in the form of cross-selling and upselling (38%) and customer understanding (32%) are the top use cases for big data analytics. Related to these uses, organizations today spend billions of dollars on programs seeking customer loyalty and satisfaction. A powerful metric that impacts this spending is net promoter score (NPS), which attempts to connect brand promotion with revenue. NPS has proven to be a popular metric among major...
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Topics:
Big Data,
Customer Performance,
Business Analytics,
Business Performance,
Operational Intelligence,
Information Optimization
Envision is a vendor of workforce optimization software that I have been following for many years. It is rated a Hot vendor in our 2015 Workforce Optimization Value Index. It offers a full suite of products, including interaction capture, quality monitoring, workforce management, coaching and training, agent compensation management and workforce analytics. In an analysis last year I wrote about how, in an effort to make workforce optimization more accessible and affordable, it created an...
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Topics:
Big Data,
Customer Performance,
Cloud Computing,
Call Center
OnviSource is a 10-year-old vendor of workforce optimization software whose core product, OnviCenter 7, includes interaction capture, quality monitoring, workforce management, coaching and training, and workforce analytics. The company is rated a Hot vendor in our 2015 Workforce Optimization Value Index. It scored highly in the Manageability, Usability and Reliability categories but was held back by lack of compensation management (for which it provides input to third-party products) and some...
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Topics:
Big Data,
Customer Experience,
Customer Performance,
Cloud Computing,
Call Center
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
Contact centers in the cloud are increasingly popular alternatives to managing them on a company’s own premises. Running many business applications on hardware owned and managed by a third party is relatively straightforward and requires less support internally. Also the payment model changes from a license to a recurring fee, and typically the vendor provides updates as part of the fee. The challenge with placing a contact center in the cloud is that it is not a single system or even a...
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Topics:
Big Data,
Customer Feedback Management,
Customer Performance,
Business Collaboration,
Cloud Computing,
Call Center
In recent years I have tracked Salesforce, its product development and its announcements. Despite having grown into a giant corporation, it continues to introduce innovations. At a recent analyst day in the U.K., I followed up on the company’s overall direction, some key product developments and a new service to help drive adoption of innovative customer-related processes. Salesforce’s primary aim is to help organizations market and sell to, service, engage with and know their customers through...
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Topics:
Big Data,
Customer Feedback Management,
Customer Performance,
Business Analytics,
Business Collaboration,
Cloud Computing,
Call Center