The early days of my career were spent in HR and payroll systems inside brokerage houses and investment banks. The first CHRO I reported to thought the best way to develop a plan for automating payroll management was for me to run the function’s day-to-day operations. I had no previous experience in payroll but it was a good call, as the trenches of any operations area typically reveal a cornucopia of automation opportunities. Then again, it was a different time; back then the words strategy,...
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Topics:
Human Capital Management,
HRMS,
Workforce Management,
Digital Technology,
Work and Resource Management,
Machine Learning and Cognitive Computing,
Payroll Optimization,
Artificial intelligence,
Total Compensation Management,
RPA,
employee experience,
Chatbots,
Personalization,
Predictive HCM
I am happy to share some insight on NICE inContact drawn from our latest research. The Ventana Research Value Index: Contact Center in the Cloud in 2018 is the distillation of a year of market and product research efforts by Ventana Research. We utilized a structured research methodology that includes evaluation categories designed to reflect the breadth of the real-world criteria incorporated in a request for proposal (RFP) and vendor selection process for contact centers in the cloud. We...
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Topics:
Customer Analytics,
Customer Engagement,
Customer Experience,
Cloud Computing,
Collaboration,
Customer Service,
Contact Center,
Workforce Optimization
Dreamforce has become the largest enterprise software event for businesses in the United States, and it is evident why when looking at it this year. With over 170,000 business and IT professionals attending, Salesforce came to show off upcoming product announcements and innovations. This year's biggest focus was on Einstein Voice (a personalized and intelligent conversational assistant), integration with other platforms, and Salesforce Customer 360. The last of these is the start of an answer...
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Topics:
Salesforce.com,
Customer Experience,
Machine Learning,
Marketing,
Voice of the Customer,
CRM,
Dreamforce,
Sales Performance Management,
SPM,
Digital Technology,
Digital Marketing,
Robotic Process Automation,
AI,
natural language processing
I am happy to share some insights gleaned from our latest research. The Ventana Research Value Index: Contact Center in the Cloud in 2018 is the distillation of a year of market and product research efforts by Ventana Research. Drawing on our benchmark research, we utilize a structured research methodology with evaluation categories designed to reflect the breadth of the real-world criteria incorporated in a request for proposal to vendors in contact centers in the cloud. Using this...
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Topics:
Customer Analytics,
Customer Engagement,
Customer Experience,
Cloud Computing,
Collaboration,
Customer Service,
Contact Center,
Workforce Optimization
Financial analysts typically classify real estate as a fixed cost. Strictly speaking, that’s correct, but looking at it this way leads many organizations to overlook opportunities to more carefully manage their real estate and other occupancy expenses. The changes in lease accounting that are going into effect have caused some organizations to reexamine their leasing policies and how they organize their lease accounting processes. They should take an even broader approach and consider ways to...
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Topics:
Office of Finance,
Continuous Planning,
Financial Performance Management,
Operations & Supply Chain,
ERP and Continuous Accounting,
Accounting,
Lease Accounting,
ASC842,
IFRS16
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
In 2017 Strata + Hadoop World was changed to the Strata Data Conference. As I pointed out in my coverage of last year’s event, the focus was largely on machine learning and artificial intelligence (AI). That theme continued this year, but my impression of the event was of a community looking to get value out of data regardless of the technology being used to manage that data. The change was subtle: The location was the same; the exhibitors were largely the same; attendance was similar this year...
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Topics:
Big Data,
Data Science,
Machine Learning,
Analytics,
Business Intelligence,
Data Governance,
Data Integration,
Data Preparation,
Information Optimization,
Digital Technology,
Machine Learning and Cognitive Computing
Recent advances in workforce management (WFM) software are rewriting the way organizations tackle hourly workforce management and related administrative challenges. This is largely due to improvements in the design of business processes and a focus on enabling more hassle-free user experiences. The result is fundamental changes in how workers account for their time and request PTO, as well as how they access information on payroll, benefits and other company policies. These advances are also...
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Topics:
Human Capital Management,
HRMS,
Workforce Management,
Work and Resource Management,
Payroll Optimization
All too often, software vendors view analytics as the end rather than the beginning of a process. I’m reminded of some of the advanced math classes I’ve taken in which the teaching process focused on a few key aspects of a mathematical proof or solution, leaving the rest of the exercise to be worked out by the students. In other contexts, you may hear people say the numbers speak for themselves.
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Topics:
Data Science,
Machine Learning,
business intelligence,
Analytics,
Collaboration,
Data Governance,
Information Optimization,
Digital Technology,
collaboration for business