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        ISG Software Research Analyst Perspectives

        Today, organizations understand the importance of good external data that can be integrated with internal data to train machine learning models. Our Machine Learning Dynamic Insights research showed that external data adds a significant value in gaining competitive advantage, improving customer experience and increasing sales. But getting the right external data for a particular requirement is not always easy. Internal data is usually not enough to train different models because of its narrow...

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        Topics: Explorium, External Data Platform

        I recently attended an analyst conference held by Unit4, an enterprise resource planning vendor focused on midsize organizations in people-centric industries. The conference was intended to communicate the company’s strategy, product updates and roadmap. The meeting took place shortly after announcement of the availability of Unit4 Industry Mesh and the acquisition of Compright, which does compensation planning as well as in the context of the broad technology shifts affecting ERP applications.

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        Topics: Human Capital Management, Office of Finance, Business Planning, Talent Management, Financial Performance Management, ERP and Continuous Accounting, Total Compensation Management, digital finance

        The various NoSQL databases have become a staple of the data platforms landscape since the term entered the IT industry lexicon in 2009 to describe a new generation of non-relational databases. While NoSQL began as a ragtag collection of loosely affiliated, open-source database projects, several commercial NoSQL database providers are now established as credible alternatives to the various relational database providers, while all the major cloud providers and relational database giants now also...

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        Topics: Analytics, Data, AI & Machine Learning, data platforms

        Software that automates the full scope of the accounting close, including reconciliations, consolidation and reporting, has grown more capable and affordable over the past five years. By enabling consistent process management that captures best practices, and by automating rote, repetitive activities to boost staff productivity, these applications enable organizations to shorten the close, make the process more efficient and reduce the risk of material errors by strengthening accounting...

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        Topics: Office of Finance, Financial Performance Management (FPM), ERP and Continuous Accounting, digital finance

        Natural language processing (NLP) is a field that combines artificial intelligence (AI), data science and linguistics that enables computers to understand, interpret and manipulate text or spoken words. NLP includes generating narratives based on a set of data values, using text or speech as inputs to access information, and analysing text or speech, for instance, to determine its sentiment. There are various techniques for interpreting human language, ranging from statistical and machine...

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        Topics: Big Data, Analytics, natural language processing, NLP

        As businesses become more data-driven, they are increasingly dependent on the quality of their data and the reliability of their data pipelines. Making decisions based on data does not guarantee success, especially if the business cannot ensure that the data is accurate and trustworthy. While there is potential value in capturing all data — good or bad — making decisions based on low-quality data may do more harm than good.

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        Topics: Data Governance, Data Integration, Data, Digital Technology, data lakes, data operations, Analytics & Data

        In a previous Analyst Perspective, we discussed some of the big-picture trends that are bringing cost control back as a core driver of contact center operations. In this report we will tackle some of the practical ramifications: how those trends affect decision-making and operations.

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

        There is much vendor activity and customer interest in making better use of data, to improve the sales process in the face of increased pressure to achieve organization revenue goals. As detailed in my Analyst Perspective: The Art and Science of Sales from the “Inside Out," enhanced buyer research as well as the inclusion of more people in the buying process, have made selling harder, evidenced by a general trend of declining quota attainment. There is no denying that better use of data can...

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        Topics: Sales, Revenue Management, Sales Engagement, Revenue Performance Management

        Reconciling accounts at the end of a period is one of those mundane finance department tasks that are ripe for automation. Reconciliation is the process of comparing account data (at the balance or item level) that exists either in two accounting systems or in an accounting system and somewhere else (such as in a spreadsheet or on paper). The purpose of the reconciling process is to identify things that do not match (as they must in double-entry bookkeeping systems) and then assess the nature...

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        Topics: Office of Finance, automation, Reconciliation

        Despite all the advances organizations have made with respect to analytics, our most recent research shows the majority of the workforce in the majority of organizations are not using analytics and business intelligence (BI). Less than one-quarter (23%) report that one-half or more of their workforce is using analytics and BI. This is a problem. It means organizations are not enabling their workforce to perform at peak efficiency and effectiveness. It means the workforce in many organizations...

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        Topics: Sales, business intelligence, embedded analytics, Analytics, Data, Sales Performance Management, Digital Technology, Digital Commerce, natural language processing, Subscription Management, partner management, Revenue Management, Sales Engagement, Collaborative & Conversational Computing
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        Our Analyst Perspective Policy

        • 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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