About the Analyst
Mark Smith
Mark is responsible for the overall direction of Ventana Research and drives the global research agenda covering both business and technology areas. He defined the blueprint for Information Management and Performance Management as the linking together of people, processes, information and technology across organizations to drive effective results. Mark is an expert in technology for business from Performance Management, Business Intelligence, Analytics to Information Management across finance, operations and IT. Mark has held CMO, product development and research roles at companies such as SAP, META Group, Oracle and IRI Software. He has experience across major industries including banking, consumer products, food and beverage, insurance, manufacturing, pharmaceutical and retail and consumer services.
An intensified focus on the customer is driving the trend toward enabling omnichannel support in contact centers, our benchmark research on contact centers in the cloud has found. In my last analyst perspective I highlighted some key benefits of a contact center in the cloud. In this perspective, I want to elaborate on the finding that only about one-third (35%) of organizations participating in our benchmark research said their customers are satisfied with the way interactions are handled. Far...
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Topics:
Customer Analytics,
Customer Engagement,
Customer Experience,
Cloud Computing,
Collaboration,
Customer Service,
Contact Center,
Workforce Optimization
To remain competitive, organizations must deliver the best possible customer experience through all channels of engagement. One technological approach to accomplish this is to enable a contact center to handle all the channels through which customer interactions with the organization are routed and acted upon. The contact center continues to need to handle telephony, of course, as this remains a channel that carries a significant portion of interactions. But new channels continue to be added to...
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Topics:
Customer Analytics,
Customer Engagement,
Customer Experience,
Cloud Computing,
Collaboration,
Customer Service,
Contact Center,
Workforce Optimization
We now are well beyond the year depicted in 2001: A Space Odyssey, a cinematic perspective on the future of artificial intelligence in which HAL 9000, a computer, is able to simulate human behavior and control machines. Anyone reviewing the past two years of marketing around AI in the business technology industry can be forgiven for believing that we have arrived at the futuristic state Stanley Kubrick imagined. We have not.
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Topics:
Big Data,
Data Science,
Mobile,
Customer Analytics,
Customer Engagement,
Customer Experience,
Machine Learning,
Mobile Technology,
Analytics,
Business Intelligence,
Cloud Computing,
Collaboration,
Customer Service,
Data Governance,
Data Integration,
Data Preparation,
Internet of Things,
Contact Center,
Information Optimization,
Digital Technology,
Machine Learning and Cognitive Computing,
Cybersecurity,
Billing and Recurring Revenue,
Workforce Optimization,
collaboration for business
We are have arrived at the May 25, 2018 date when the European Union’s General Data Privacy Regulations (GDPR) become enforceable, following what has been a two-year transition period. Companies were given this time to put in place reasonable measures and the systems necessary to support the legislation’s wide-ranging personal data privacy requirements, which apply to any organization with more than 250 employees that serves EU citizens. While this regulation will apply in the EU, it has...
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Topics:
Big Data,
Data Science,
Mobile,
Sales,
Customer Analytics,
Customer Engagement,
Customer Experience,
Marketing,
Analytics,
Business Intelligence,
Cloud Computing,
Collaboration,
Data Governance,
Data Integration,
Data Preparation,
Internet of Things,
Contact Center,
Digital Technology,
Digital Marketing,
Digital Commerce,
Cybersecurity,
Billing and Recurring Revenue,
collaboration for business,
mobile marketing
Advancing the potential of any business requires continuous improvement in the processes and technology that support it. Many companies have embraced attempts at a digital transformation, and it’s become a goal to which organizational resources and budgets have been dedicated around the globe.
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Topics:
Big Data,
Data Science,
Mobile,
Sales,
Customer Analytics,
Customer Engagement,
Customer Experience,
Human Capital Management,
Machine Learning,
Marketing,
Marketing Performance Management,
Mobile Technology,
Office of Finance,
Wearable Computing,
Analytics,
Business Intelligence,
Cloud Computing,
Collaboration,
Customer Service,
Data Governance,
Data Integration,
Data Preparation,
Internet of Things,
Contact Center,
Information Optimization,
Product Information Management,
Digital Technology,
Digital Marketing,
Digital Commerce,
Operations & Supply Chain,
Machine Learning and Cognitive Computing,
Pricing and Promotion Management,
Cybersecurity,
Billing and Recurring Revenue,
Workforce Optimization,
collaboration for business,
mobile marketing
If we look at the focus of technology vendors for analytics and business intelligence or business applications providers deploying these capabilities in the last five years, we see that they have elevated the importance on the value of visualization and dashboards. These promotions might be understandable, but will they make business and the people using them more intelligent?
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Topics:
Big Data,
Data Science,
Mobile,
Machine Learning,
Analytics,
Business Intelligence,
Cloud Computing,
Collaboration,
Information Optimization,
Digital Technology,
Machine Learning and Cognitive Computing
More than a year ago I wrote from personal experience about the challenges our firm encountered with Salesforce’s cloud computing systems and customer service and if we can trust them for business in the cloud. That perspective covered a range of issues that the behemoth cloud computing applications and platform company is facing regarding its service and technology. While Salesforce has shifted its customers like us and others to a different cloud computing environment, as it did in moving us...
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Topics:
Big Data,
Sales,
Office of Finance,
Analytics,
Cloud Computing,
Collaboration,
Product Information Management,
Sales Performance Management,
Digital Commerce,
Sales and Operations Planning,
Machine Learning and Cognitive Computing,
Sales Enablement and Execution,
Machine Learning Digital Technology,
Sales Planning and Analytics
Compensation and the processes and systems to support it are at the center of success in every organization, as I have noted recently.In our view, an investment in total compensation management software is a strategic step toward advancing human capital management. Our benchmark research on this topic found some progress in attitudes about modernizing compensation practices. Almost three-fourths (72%) of organizations said that it is important or very important to have a total compensation...
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Topics:
Human Capital Management,
Office of Finance,
Learning Management,
HRMS,
Workforce Management,
Work and Resource Management,
ERP and Continuous Accounting,
Payroll Optimization
Our firm regularly explores the impacts of new technologies on business. Analytics is foremost among recently emerging technologies, which our benchmark research consistently confirms. In our research on next-generation sales analytics, fourth-fifths (82%) of participating organizations cited analytics as the most important technology trend for sales; however, several other technologies also are adding power and flexibility to the use of sales analytics.
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Topics:
Big Data,
Sales,
Mobile Technology,
Office of Finance,
Analytics,
Cloud Computing,
Collaboration,
Product Information Management,
Sales Performance Management,
Digital Commerce,
Machine Learning and Cognitive Computing,
Sales Enablement and Execution,
Machine Learning Digital Technology,
Sales Planning and Analytics
The importance of analytics for sales organizations is clear and, as I pointed out in my recent analyst perspective on the next generation of sales analytics, these capabilities optimize revenue potential. However, utilizing sales analytics requires a set of data skills that most organizations still find challenging and are thus not fully prepared to support. The efficient access and preparation of data underlies any analytics processes, which must meet demanding needs that are not always...
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Topics:
Big Data,
Sales,
Machine Learning,
Office of Finance,
Analytics,
Cloud Computing,
Collaboration,
Product Information Management,
Sales Performance Management,
Digital Technology,
Digital Commerce,
Sales and Operations Planning,
Machine Learning and Cognitive Computing,
Sales Enablement and Execution,
Sales Planning and Analytics