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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, 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...

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Topics: Analytics, Cloud Computing, Data Governance, Data Integration, Data, Digital Technology, data lakes, data operations, 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...

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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


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...

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Topics: Customer Experience, Voice of the Customer, Business Continuity, Analytics, Contact Center, Data, Digital transformation, agent management, Experience Management, 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...

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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...

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Topics: Human Capital Management, Learning Management, Workforce Management, Total Compensation Management, employee experience, candidate engagement, Continuous Payroll


The age of digital communication platforms is upon us. The need has never been greater for an open and secure platform that satisfies the demand for enterprise-grade business and technology requirements. Overcoming today’s technology challenges is possible with a next-generation cloud-based delivery model that is both extensible and reliable. Organizations considering a digital communication...

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Topics: Customer Experience, Business Continuity, Contact Center, Digital transformation, Experience Management, Digital Communications


I am very happy to announce that I have joined Ventana Research to help lead the expertise area of Digital Technology, including Analytics and Data, Cloud Computing, Artificial Intelligence and Machine Learning, the Internet of Things, Robotic Automation, and Collaborative and Conversational Computing. While the breadth of applications and technology covered by our Digital Technology practice is...

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Topics: Digital Technology


In part one of this Analyst Perspective on the use of artificial intelligence within contact center applications, we focused on the evolution — and resulting benefits — of tools embedded with AI, including ease-of-use for non-data-scientists.

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Topics: Customer Experience, Voice of the Customer, Analytics, agent management, AI and Machine Learning


To maximize the value of the workforce and the work conducted, organizations need to increase the effectiveness of workers assigned to critical, interrelated tasks. Doing so requires a commitment to planning the best use of workers and resources. Failing to do so can limit an organization’s ability to reach essential milestones and complete work related to business processes with customers,...

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Topics: Business Continuity, Operations & Supply Chain, Digital transformation


Managing corporate income taxes is a challenge for chief financial officers. Tax codes are often complex, so tax accounting as well as the data required for tax provisions and tax compliance are different enough from statutory accounting to create significant workloads for the tax department. Today, the worldwide trend to higher taxes and growing tax code complexity is increasing the payoff for...

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Topics: Office of Finance, Financial Performance Management, ERP and Continuous Accounting, Revenue, lease and tax accounting


Databricks is a data engineering and analytics cloud platform built on top of Apache Spark that processes and transforms huge volumes of data and offers data exploration capabilities through machine learning models. It can enable data engineers, data scientists, analysts and other workers to process big data and unify analytics through a single interface. The platform supports streaming data, SQL...

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Topics: embedded analytics, Analytics, Business Intelligence, Collaboration, Data Governance, Information Management, Data, data lakes, AI and Machine Learning


As the pace of digital innovation has accelerated, many organizations have found it harder to manage the portfolio of work conducted by the workforce to ensure timeliness and mitigate the risk of increased costs and resources. The challenges in managing the work related to project plans are not only to ensure the timeliness in performing and tracking the individual tasks and activities every...

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Topics: Business Continuity, Operations & Supply Chain, Digital transformation


The work environment today demands that your organization advances the efficiency to execute business processes for continuous operations to have a positive impact on business performance. The capability to be responsive to any range of minor to disruptive business events is required to support business continuity and level of organizational readiness to meet the needs of digital business....

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Topics: Customer Experience, Voice of the Customer, embedded analytics, Analytics, Business Intelligence, Cloud Computing, Contact Center, Data, Digital Technology, Operations & Supply Chain, Enterprise Resource Planning, Digital transformation, natural language processing, continuous supply chain, agent management, Process Mining, Streaming Analytics, Experience Management, AI and Machine Learning


When artificial intelligence emerged from the labs and vendors started offering it as a component of their software, many contact-center buyers shied away from it. From their point of view, AI and machine learning tools were new, expensive, relatively untested and had an uncertain use case. This stance was understandable, as contact center professionals are traditionally expected to be...

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Topics: Customer Experience, Voice of the Customer, Analytics, Contact Center, agent management, AI and Machine Learning


The subscription business model has seen much growth in all aspects of the market in recent years. Now considered the standard for the digital age, the model’s implementation travels parallel to rising technology, leading to the demand for newer functionality and tools. As more and more vendors create their own versions, and as the subscription model is increasingly adopted, technology solutions...

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Topics: Sales, Subscription Billing, Subscription Management, partner management


Access to external data can provide a competitive advantage. Our research shows that more than three-quarters (77%) of participants consider external data to be an important part of their machine learning (ML) efforts. The most important external data source identified is social media, followed by demographic data from data brokers. Organizations also identified government data, market data,...

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Topics: Analytics, Business Intelligence, Internet of Things, Data, Digital Technology, Lease Management, Streaming Data, Streaming Analytics, AI and Machine Learning


Tools for contact center agent management have changed considerably in the past few years. The suite of software applications has grown from those that perform core functions in scheduling and quality control to include more advanced solutions for agent guidance, integrated desktops, and workflow and automation design. One area of intense investment by vendors has been analytics, specifically for...

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Topics: Customer Experience, Voice of the Customer, Contact Center, agent management


Price management and optimization is not a new discipline, but until now, it has been restricted to particular industries — such as discrete manufacturing and chemicals — where there are potentially hundreds if not thousands of stock-keeping units covering many interdependent products.

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Topics: Subscription Management


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