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        Analyst Perspectives

        Anaplan offers a cloud-based business planning platform that incorporates a modeling and calculation engine. The tool makes it relatively easy to add or expand the scope of plans that can be connected and monitored on a single platform. This Integrated Business Planning (IBP) approach enables organizations to use the software for financial planning or budgeting, sales, supply chain, workforce, marketing and IT planning. These are the types of plans in which companies often need to create models...

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        Topics: Office of Finance, Continuous Planning, Business Intelligence, Business Planning, Financial Performance Management, continuous supply chain, digital finance, profitability management, AI and Machine Learning

        I have recently written about the importance of healthy data pipelines to ensure data is integrated and processed in the sequence required to generate business intelligence, and the need for data pipelines to be agile in the context of real-time data processing requirements. Data engineers, who are responsible for monitoring, managing and maintaining data pipelines, are under increasing pressure to deliver high-performance and flexible data integration and processing pipelines that are capable...

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        Topics: Big Data, Cloud Computing, Data Management, Data, data operations

        The contact center industry is reexamining how organizations engage with contact center agents. One thing that we learned from the forced movement to work-from-home was that organizations have to provide agents with appropriate tools to collaborate and communicate with peers and supervisors as well as workers in the back office who participate in all sorts of customer-facing or customer-adjacent processes. It is also important to provide supervisors with visibility into agent activity. That...

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        Topics: Customer Experience, Voice of the Customer, Contact Center, agent management, Customer Experience Management, Field Service, customer service and support

        I recently explained how emerging application requirements were expanding the range of use cases for NoSQL databases, increasing adoption based on the availability of enhanced functionality. These intelligent applications require a close relationship between operational data platforms and the output of data science and machine learning projects. This ensures that machine learning and predictive analytics initiatives are not only developed and trained based on the relationships inherent in...

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        Topics: Business Intelligence, Data, operational data platforms, Analytic Data Platforms, AI and Machine Learning

        Environmental, social and governance issues have grown increasingly pressing over the past few years as investors and government entities urge organizations to measure and disclose ESG metrics. I’ve already covered the broader topic as it relates to external reporting and how financial planning and analysis groups are likely to own this mandate going forward. (It’s mainly been a marketing and public relations effort up to now.) FP&A departments are also likely to be charged with responsibility...

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        Topics: FP&A, Office of Finance, ESG

        I often use the term “analytics” to refer to a broad set of capabilities, deliberately broader than business intelligence. In this Perspective, I’d like to share what decision-makers should consider as they evaluate the range of analytics requirements for their organization.

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        Topics: Business Intelligence, natural language processing, Streaming Analytics, Analytics & Data, AI and Machine Learning

        I spent years in the talent acquisition space, and I think that at least several months of that time – cumulatively – was spent just trying to get people to calm down. Talent acquisition is a critically important business process, but if I had a dollar for every time I had to remind someone that there really are no recruiting emergencies, I’d be a wealthy woman.

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        Topics: Human Capital Management, HR technology, HR/Payroll, Payroll Management, employee experience

        Streaming data has been part of the industry landscape for decades but has largely been focused on niche applications in segments with the highest real-time data processing and analytics performance requirements, such as financial services and telecommunications. As demand for real-time interactive applications becomes more pervasive, streaming data is becoming a more mainstream pursuit, aided by the proliferation of open-source streaming data and event technologies, which have lowered the cost...

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        Topics: Data, Streaming Analytics, Streaming Data & Events, operational data platforms

        Field service is a segment of customer experience that is dominated by two elements: the complexity of the issues handled, and the high cost of providing on-site services. It is recognized as a critical component of the service experience, especially when managing the condition of high-precision equipment in the medical, manufacturing and utility industries. It is also a high-risk moment in the customer life cycle. Consumers often experience the process as a series of disconnected visits and...

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        Topics: Customer Experience, Voice of the Customer, Contact Center, agent management, Customer Experience Management, Field Service, customer service and support

        Organizations are collecting vast amounts of data every day, utilizing business intelligence software and data visualization to gain insights and identify patterns and errors in the data. Making sense of these patterns can enable an organization to gain an edge in the marketplace and plan more strategically.

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        Topics: embedded analytics, Analytics, Business Intelligence, AI and Machine Learning
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        • Ventana Research’s Analyst Perspectives are fact-based analysis and guidance on business, industry and technology vendor trends. Each Analyst Perspective presents the view of the analyst who is an established subject matter expert on new developments, business and technology trends, findings from our research, or best practice insights.

          Each is prepared and reviewed in accordance with Ventana Research’s strict standards for accuracy and objectivity and reviewed to ensure it delivers reliable and actionable insights. It is reviewed and edited by research management and is approved by the Chief Research Officer; no individual or organization outside of Ventana Research reviews any Analyst Perspective before it is published. If you have any issue with an Analyst Perspective, please email them to ChiefResearchOfficer@ventanaresearch.com

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