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        Analyst Perspectives

        Ventana Research recently published the results of our Business Planning Value Index Research and I commented on its connection to our emphasis on using software to unify planning processes across an enterprise to improve performance. Since 2007, we have advocated what we call Integrated Business Planning (IBP): a high-participation, collaborative, action-oriented approach to planning and budgeting built on frequent, short planning sprints. Short planning cycles enable companies to achieve...

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        Topics: Business Planning, digital finance, Finance Performance Management

        Despite widespread and increasing use of the cloud for data and analytics workloads, it has become clear in recent years that, for most organizations, a proportion of data-processing workloads will remain on-premises in centralized data centers or distributed-edge processing infrastructure. As we recently noted, as compute and storage are distributed across a hybrid and multi-cloud architecture, so, too, is the data it stores and relies upon. This presents challenges for organizations to...

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        Topics: Analytics, Business Intelligence, Data Governance, Data, data operations, data platforms, AI and Machine Learning

        Digital Transformation. The Subscription Economy. Omni-Channel Selling. Customer Centric. These are all terms used to label trends and events that are changing the way business is being conducted, a change that has accelerated due to recent events. Regardless of the terminology, there is no doubt that the way vendors and buyers are interacting, whether B2C or B2B, is different today for many organizations than it was even five years ago. But to be fair, no technology on its own can transform...

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        Topics: Sales, Digital Commerce, Subscription Management, partner management, Revenue Management

        The technology underpinning customer experience (CX) is a hodgepodge of tools that have been developed for niche use cases and then expanded to fill broader roles. Examples include the old (CRM, help desk software and speech analytics) and the new (customer data platforms and conversational AI). This is because CX is a set of very specialized processes that happen in different parts of the enterprise, managed by people who often do not connect with peers handling related processes....

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        Topics: Customer Experience, Marketing, Marketing Performance Management, Voice of the Customer, Contact Center, Product Information Management, Digital Marketing, agent management, intelligent marketing, Customer Experience Management, Digital Experience Platform, Conversational Marketing, customer service and support

        Organizations face various challenges with analytics and business intelligence processes, including data curation and modeling across disparate sources and data warehouses, maintaining data quality and ensuring security and governance. Traditional processes are slow when transforming large and diverse datasets into something which is easily consumable in BI. And, it can take days or weeks to create reports and dashboards — maybe longer if processes change and new data sources are introduced....

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        Topics: Big Data, Analytics, Business Intelligence, Cloud

        Value-added tax is a type of levy that is applied at each step of a transaction chain, from basic inputs to the final good or service. The amount assessed is based on the value added by an organization (hence the name) when a transaction occurs. VAT is used throughout the world because, historically, it has been harder to evade compared to income taxes. VAT is a common method of national taxation: Approximately 85% of countries impose it worldwide. A notable exception is the United States,...

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        Topics: Office of Finance, Tax, VAT

        I recently examined how evolving functionality had fueled the adoption of NoSQL databases, recommending that organizations evaluate NoSQL databases when assessing options for data transformation and modernization efforts. This recommendation was based on the breadth and depth of functionality offered by NoSQL database providers today, which has expanded the range of use cases for which NoSQL databases are potentially viable. There remain a significant number of organizations that have not...

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        Topics: NoSQL, Data, data platforms, Use Cases

        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, data platforms, AI and Machine Learning
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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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