The pandemic has had many profound impacts on organizations and their workforces, particularly the need to manage workers differently. Fewer face-to-face interactions make it difficult to “read” employee sentiments and reactions, even with the assistance of artificial intelligence. Employers are faced with the challenge of managing engagement more closely given unprecedented levels of change in policies and corresponding practices.
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Topics:
Human Capital Management,
Learning Management,
Workforce Management,
Total Compensation Management,
employee experience,
candidate engagement,
Continuous Payroll
Talend is a data integration and management software company that offers applications for cloud computing, big data integration, application integration, data quality and master data management. The platform enables personnel to work with relational databases, Apache Hadoop, Spark and NoSQL databases for cloud or on-premises jobs. Talend data integration software offers an open and scalable architecture and can be integrated with multiple data warehouses, systems and applications to provide a...
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Topics:
Analytics,
Business Intelligence,
Collaboration,
Data Governance,
Data Preparation,
Information Management,
Data,
Digital Technology,
data lakes,
AI and Machine Learning
Traditionally, price management and optimization have been contained to certain industries, such as large-scale manufacturing and chemicals. Those industries involve potentially tens of thousands of stock-keeping units (SKUs) covering a wide variety of products and price points. For many organizations, pricing systems are “cost plus” or “follow the leader,” not typically designed to invoke optimization but rather just move pricing along. Price management is often seen as a complex, arduous task...
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Topics:
Sales,
Sales Performance Management,
Subscription Management,
Revenue Management,
Sales Engagement
When migrating their communications stacks to the cloud, many organizations come face to face with a quandary: do they emphasize the business phone system and gravitate toward a unified communications vendor? Or should they focus on the specific applications needed for running their contact centers and seek out a CCaaS vendor?
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Topics:
Customer Experience,
Voice of the Customer,
Contact Center,
agent management,
Customer Experience Management,
Field Service,
AI and Machine Learning
Enterprises looking to adopt cloud-based data processing and analytics face a disorienting array of data storage, data processing, data management and analytics offerings. Departmental autonomy, shadow IT, mergers and acquisitions, and strategic choices mean that most enterprises now have the need to manage data across multiple locations, while each of the major cloud providers and data and analytics vendors has a portfolio of offerings that may or may not be available in any given location. As...
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Topics:
Analytics,
Cloud Computing,
Data Governance,
Data Integration,
Data,
Digital Technology,
data lakes,
data operations,
data platforms,
AI and Machine Learning
How does your organization define and display its metrics? I believe many organizations are not defining and displaying metrics in a way that benefits them most. If an organization goes through the trouble of measuring and reporting on a metric, the analysis ought to include all the information needed to evaluate that metric effectively. A number, by itself, does not provide any indication of whether the result is good or bad. Too often, the reader is expected to understand the difference, but...
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Topics:
Analytics,
Business Intelligence,
Internet of Things,
Data,
Digital Technology,
Streaming Analytics,
AI and Machine Learning
Digital transformation of the Office of Finance has been a recurring theme for several years, but adoption accelerated when offices were locked down and organizations had to collaborate remotely. It involves shifting manual work, often completed via spreadsheets circulating in emails, to software and systems for improved performance.
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Topics:
Performance Management,
Office of Finance,
Digital transformation,
Digital Business,
digital finance
When NICE acquired inContact in 2016, it began a transformation that saw it broaden its product offering and positioned itself to play a larger role in the contact center and customer experience industries. It was a prescient move, creating a firm that could supply end-to-end contact center functionality in the cloud. And it anticipated today’s market dynamic, in which NICE and its competitors are racing to define (and capitalize on) the post-contact center future.
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Topics:
Customer Experience,
Voice of the Customer,
Business Continuity,
Analytics,
Contact Center,
Data,
Digital transformation,
agent management,
Digital Business,
Experience Management,
Customer Experience Management,
Field Service,
customer service and support,
AI and Machine Learning
Our research shows that nearly all financial service organizations (97%) consider it important to accelerate the flow of information and improve responsiveness. Even just a few years ago, capturing and evaluating this information quickly was much more challenging, but with the advent of streaming data technologies that capture and process large volumes of data in real time, financial service organizations can quickly turn events into valuable business outcomes in the form of new products and...
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Topics:
Analytics,
Internet of Things,
Data,
Digital Technology,
Streaming Analytics
In my recently published Analyst Perspective “Selecting an HCM System? Include the Tougher Use Cases in Evaluations,” I highlighted a few HCM systems use cases that have historically been under-supported across the vendor/product landscape. My view on “critical HCM use cases” is the same today as when I led global HR and HR technology initiatives: use cases flow from the business imperatives faced by nearly every organization and their associated workforce-related implications. These HCM...
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Topics:
Human Capital Management,
Learning Management,
Workforce Management,
Total Compensation Management,
employee experience,
candidate engagement,
Continuous Payroll