Since I last wrote about Upstream Works it has expanded its focus on contact center agent efficiency and effectiveness to include omnichannel customer experience. Each of its core products has undergone a number of developments. Its main product now is Upstream Works for Finesse, which it classifies as a smart agent desktop. This is a desktop application that enables users of contact center systems to access the information and systems they need to resolve interactions, as well as prompting the...
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Topics:
Customer Experience,
Customer Performance,
Analytics,
Business Analytics,
Call Center
It’s part of my job to cover the ecosystem of Hadoop, the open source big data technology, but sometimes it makes my head spin. If this is not your primary job, how can you possibly keep up? I hope that a discussion of what I’ve found to be most important will help those who don’t have the time and energy to devote to this wide-ranging topic.
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Topics:
Big Data,
Business Analytics,
Business Intelligence,
Information Management,
Operational Intelligence
It often seems to business-to-business (B2B) marketers as if the only people who understand them are other B2B marketers. They feel that salespeople don’t get what they do day-to-day, that friends and family don’t understand what they do for a living, and most of all that the executives to whom they report have no interest in what they do – that is, until the last day of the quarter. Then they require that B2B marketers deliver positive, lead-generating and revenue-producing results in reports...
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Topics:
Big Data,
Sales Performance,
Operational Performance,
Analytics,
Business Analytics,
Business Collaboration,
Business Intelligence,
Business Performance,
Cloud Computing,
Operational Intelligence,
Hive9 Marketing Performance Management
Data virtualization is not new, but it has changed over the years. The term describes a process of combining data on the fly from multiple sources rather than copying that data into a common repository such as a data warehouse or a data lake, which I have written about. There are many reasons for an organization concerned with managing its data to consider data virtualization, most stemming from the fact that the data does not have to be copied to a new location. It could, for instance,...
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Topics:
Big Data,
Business Analytics,
Business Intelligence,
Information Management,
Information Optimization,
Data virtualization, data integration, data lake,
Invoicing and billing are mundane business activities that hardly anyone outside of the accounting department cares about, but they are where the back office meets the front office. How well a company handles the process of getting paid by its customers can have an impact on its relationships with them. Like most of the details of business process execution, the impact of substandard invoicing and billing is rarely obvious or even of interest to senior management. That said, like trimming scrap...
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Topics:
Sales Performance,
Office of Finance,
Customer Performance,
Business Performance,
Cloud Computing,
Financial Performance
In July Salesforce officially closed on its purchase of digital commerce platform provider Demandware for US$2.8 billion. Salesforce’s executives were interested in acquiring a digital commerce platform, and they claim that Demandware was routinely mentioned in their due diligence of the market. So out came Marc Benioff’s and Salesforce checkbook, and they paid. Handsomely. For that sizeable investment, Salesforce will add Demandware’s SaaS-delivered digital commerce capabilities to its...
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Topics:
Social Media,
Mobile Technology,
Office of Finance,
Business Analytics,
Business Collaboration,
Business Intelligence,
Business Performance,
Cloud Computing,
Financial Performance,
Operational Intelligence,
Uncategorized,
Omnichannel, Commerce, Digital kDigital
Today’s proponents of artificial intelligence (AI) tend to focus on its spectacular uses such as self-driving cars and uplifting ones such as medical treatment. AI also has the potential to aid humanity in more modest ways such as eliminating the need for individuals to do tedious repetitive work in white-collar areas. Along these lines, at its recent Vision users conference, IBM displayed an application of its Watson cognitive computing technology designed to automate important aspects of...
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Topics:
Governance,
Office of Finance,
Business Performance,
Cloud Computing,
Financial Performance,
Uncategorized,
Risk & Compliance (GRC),
GRC, governance, risk, compliance, risk management
I recently wrote that companies are struggling to provide omnichannel customer experiences and digital customer service is now seen as a business differentiator. To address these issues, organizations need to change how they use people and processes, and deploy innovative technologies that can support new initiatives. To provide an enterprise-wide solution, contact center systems fall into four categories: communications, business applications, analytics and self-service. Our benchmark research...
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Topics:
Social Media,
Mobile Technology,
Customer Performance,
Cloud Computing,
Uncategorized,
Call Center
In today’s intensely competitive markets, companies must strive to meet customer expectations during every interaction, and interactions occur through many channels. Our benchmark research into next-generation customer engagement finds that customers use up to 17 channels of engagement. Some channels involve assisted service from employees of the company, and some use self-service technologies such as interactive voice response (IVR), websites, mobile apps and social media, also known as...
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Topics:
Mobile Technology,
Customer Performance,
Cloud Computing,
Uncategorized,
Call Center
Predictive analytics is a rewarding yet challenging subject. In our benchmark research on next-generation predictive analytics at least half the participants reported that predictive analytics allows them to achieve competitive advantage (57%) and create new revenue opportunities (50%). Yet even more participants said that users of predictive analytics don’t have enough skills training to produce their own analyses (79%) and don’t understand the mathematics involved (66%). (In the term...
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Topics:
Big Data,
Data Science,
Predictive Analytics,
Business Analytics,
Business Intelligence,
Business Performance,
Cloud Computing