Thinking about big data and the swirling world of analytics that surrounds it can be overwhelming. Broad-based organizational and technological changes are driving a new industrial constitution built on time-to-value and closed-loop systems of organizational and machine learning. As I analyze our next-generation business intelligence benchmark research results, I see trends in collaboration and mobile technology that will have a profound impact on business for generations to come. Given these...
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Topics:
Big Data,
Operational Performance,
Analytics,
Business Analytics,
Business Intelligence,
Business Performance,
Customer & Contact Center,
Information Applications,
Information Management,
Location Intelligence,
Operational Intelligence
In what will no doubt be one of a host of announcements coming out of Dreamforce, Genesys announced a new set of cloud-based services especially for Salesforce.com customers. Genesys is a well-known brand in the contact center market, but it has undergone significant change of late and is now an independent company in charge of its own destiny. This announcement demonstrates that it intends to become more responsive to market trends – and it probably can’t do better than to team up with ...
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Topics:
Salesforce.com,
Customer Experience,
Voice of the Customer,
Genesys,
Analytics,
Cloud Computing,
Customer & Contact Center,
Customer Service,
Call Center,
Contact Center,
CRM,
Unified Communications
Many people these days talk about voice of the customer (VOC) programs and how they can improve business performance. The foundation of any VOC program is collecting customer feedback, analyzing it and using the insights to improve customer-focused processes, training and the use of technology. Changes usually focus on customer service, but increasingly companies are focusing on the customer experience – how companies engage with customers to resolve issues, provide information, close sales and...
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Topics:
Social Media,
Customer Analytics,
Customer Experience,
Customer Feedback Management,
Speech Analytics,
Voice of the Customer,
Analytics,
Business Collaboration,
Cloud Computing,
Customer & Contact Center,
Customer Service,
Call Center,
Contact Center,
Contact Center Analytics,
CRM,
Desktop Analytics,
Text Analytics
Our recent benchmark research into the adoption of cloud-based systems to support contact center operations shows that around 10 percent of companies have adopted what is commonly termed communications in the cloud – that is, systems in the cloud to manage delivery of telephone calls to the right location, be it an internal extension number within an organization, a branch office number, a contact center extension or someone’s home or cell phone number. Given that telecommunication service...
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Topics:
Customer Analytics,
Customer Experience,
Social CRM,
Speech Analytics,
Voice of the Customer,
NewVoicemedia,
Analytics,
Cloud Computing,
Customer & Contact Center,
Customer Service,
Call Center,
Contact Center,
Contact Center Analytics,
CRM,
Desktop Analytics,
Text Analytics
As I listened to the keynote address at, conf2012, the annual Splunk user conference, my initial impression was that the company was spreading itself too thin. The company highlighted four rather formidable areas of organizational focus: Enterprise 5.0, the company’s flagship data platform, which is now in beta; Development, which is support for building applications and integrating Splunk within the broader IT infrastructure; Content, the continued development of core applications and use...
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Topics:
Big Data,
Splunk,
data fabric,
IT Performance,
Operational Performance,
Analytics,
Business Analytics,
Business Intelligence,
Business Performance,
Cloud Computing,
Customer & Contact Center,
Operational Intelligence,
Digital Technology
Our recent benchmark research on the contact center in the cloud shows companies are under more pressure than ever to upgrade their contact centers. The large majority of companies (73%) think it is very important to improve the way they handle customer interactions, and only a small percentage are fully satisfied with their current applications (19%) or their communications (14%). Upgrading presents a significant challenge, however, because simple call centers that handle only phone calls have...
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Topics:
Customer Analytics,
Customer Data Management,
Customer Experience,
Customer Feedback Management,
Social CRM,
Speech Analytics,
Voice of the Customer,
Analytics,
Cloud Computing,
Customer & Contact Center,
Customer Service,
Call Center,
Contact Center,
Contact Center Analytics,
CRM,
Desktop Analytics,
Text Analytics,
Unified Communications,
Workforce Force Optimization
Jaspersoft Business Intelligence Suite competes in the open source and broader BI market. Its customer base is mostly in the small and midsized business and OEMs and SaaS providers who can embed Jaspersoft code directly into their offerings. Earlier this summer, the company introduced Jaspersoft 4.7, which features advancements in interactive reporting, big data access and mobile business intelligence for Android. The 4.7 release brings interactive features such as segmenting and filtering,...
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Topics:
Big Data,
Mobile,
Jaspersoft,
Operational Performance,
Analytics,
Business Intelligence,
Business Performance,
Cloud Computing,
Customer & Contact Center,
Information Applications
I had a refreshing call this morning with a vendor that did not revolve around integration of systems, types of data, and the intricacies of NoSQL approaches. Instead, the discussion was about how its business users analyze an important and complex problem and how the company’s software enables that analysis. The topic of big data never came up, and it was not needed, because the conversation was business-driven and issue-specific.
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Topics:
Big Data,
Datameer,
Predictive Analytics,
Sales Performance,
Supply Chain Performance,
Planview,
SuccessFactors,
Operational Performance,
Analytics,
Business Analytics,
Business Intelligence,
Business Performance,
Customer & Contact Center,
Financial Performance,
IBM,
Information Management,
Operational Intelligence,
Workforce Performance,
PivotLink
After this summer’s SAS European analyst event, I wrote that I came away less than convinced SAS was truly committed to the cloud, based largely on the fact that most other vendors are blowing their cloud trumpets much louder than SAS. It seemed developments in and around customer intelligence and its other products were higher priority to the company than its cloud strategy. However, after a recent update, I was left with no doubt that the cloud is important to SAS and that the company has a...
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Topics:
SAS,
Customer Analytics,
Customer Data Management,
Speech Analytics,
Voice of the Customer,
Operational Performance,
Analytics,
Business Analytics,
Cloud Computing,
Customer & Contact Center,
Call Center,
Contact Center,
Contact Center Analytics,
Desktop Analytics,
Text Analytics
A study by the McKinsey Global Institute published earlier this year suggests a coming shortage of more than 140,000 workers with deep analytical skills and a shortage of more than 1.5 million data-literate managers. I’m not sure how the study defined these roles, but I’d guess that those with deep analytic skills are those folks building the complex models, and the data-literate managers are those executives, middle managers and analysts who interpret the results and use the models to help...
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Topics:
Big Data,
Data Scientist,
Predictive Analytics,
Sales Performance,
IT Performance,
Operational Performance,
Analytics,
Business Analytics,
Business Collaboration,
Business Intelligence,
Business Performance,
Cloud Computing,
Customer & Contact Center,
Operational Intelligence,
Workforce Performance