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        Analyst Perspectives

        Over a decade ago, I coined the term NewSQL to describe the new breed of horizontally scalable, relational database products. The term was adopted by a variety of vendors that sought to combine the transactional consistency of the relational database model with elastic, cloud-native scalability. Many of the early NewSQL vendors struggled to gain traction, however, and were either acquired or ceased operations before they could make an impact in the crowded operational data platforms market....

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        Topics: Business Continuity, Cloud Computing, Data, Digital Technology, Digital Business, data platforms, Analytics & Data

        Contact centers are undergoing a radical reshuffling of the workforce, partly because the pandemic shifted agents to remote work. But the trends were in place to reorganize the world of work long before the pandemic. Digital contact channels, which are gaining in popularity, require workers that are better informed and capable of handling more complex and interdependent interactions and processes. That’s changing the nature of training, management and even process design between departments.

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

        Sage recently announced that it is expanding its Sage Intacct software offering to support discrete manufacturing, with its initial foray into this competitive market centered in France. The move supports the company’s strategy of building out the scope of industries served by its cloud applications to include product-oriented business models and expanding Sage Intacct’s geographic footprint. The company has been extending the functionality it offers customers with human capital management as...

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        Topics: Office of Finance, ERP and Continuous Accounting, digital finance

        I recently described how the operational data platforms sector is in a state of flux. There are multiple trends at play, including the increasing need for hybrid and multicloud data platforms, the evolution of NoSQL database functionality and applicable use-cases, and the drivers for hybrid data processing. The past decade has seen significant change in the emergence of new vendors, data models and architectures as well as new deployment and consumption approaches. As organizations adopted...

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        Topics: business intelligence, Analytics, Data Integration, Data, data platforms, AI and Machine Learning

        Customer Service and Support (CSS) software is about more than case tracking and trouble tickets. Many organizations view the service call as an opportunity to solidify a positive customer relationship and perhaps enhance the loyalty and value of the customer. That has propelled interest in the emphasis on workflows and automation that now/currently drives CSS, particularly when it comes to managing self-service and field service, and the ability to provide agents with contextually relevant...

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

        I first wrote about a new era of trade a few years ago to make the point that the period of optimizing supply chains for the lowest cost was over, and that companies needed to redesign them to achieve greater resiliency. That observation proved correct. Now we are hearing about “the end of globalization,” a hyperbolic phrase describing the effects of ongoing changes to the international political order that have been underway for more than a decade. These changes are forcing companies to make...

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        Topics: Continuous Planning, Business Planning, Financial Performance Management, Enterprise Resource Planning, ERP and Continuous Accounting, continuous supply chain

        Organizations have been using data virtualization to collect and integrate data from various sources, and in different formats, to create a single source of truth without redundancy or overlap, thus improving and accelerating decision-making giving them a competitive advantage in the market. Our research shows that data virtualization is popular in the big data world. One-quarter (27%) of participants in our Data Lake Dynamic Insights Research reported they were currently using data...

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        Topics: embedded analytics, Analytics, Business Intelligence, Streaming Analytics, AI and Machine Learning

        I recently wrote about the importance of data pipelines and the role they play in transporting data between the stages of data processing and analytics. Healthy data pipelines are necessary to ensure data is integrated and processed in the sequence required to generate business intelligence. The concept of the data pipeline is nothing new of course, but it is becoming increasingly important as organizations adapt data management processes to be more data driven.

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        Topics: Analytics, Business Intelligence, Data Governance, Data Integration, Data, Digital Technology, Digital transformation, data lakes, data operations, Digital Business, data platforms, Analytics & Data, Streaming Data & Events, AI and Machine Learning

        Data governance is an issue that impacts all organizations large and small, new and old, in every industry, and every region of the world. Data governance ensures that an organization’s data can be cataloged, trusted and protected, improving business processes to accelerate analytics initiatives and support compliance with regulatory requirements. Not all data governance initiatives will be driven by regulatory compliance; however, the risk of falling foul of privacy (and human rights) laws...

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        Topics: Analytics, Data Governance, Data

        Although the bulk of contact center seats are still served by on-premises equipment, there appears to be a consensus that the cloud is better suited to delivering a successful, omnichannel customer experience, and that most new contact center deployments will be run on cloud-computing platforms.

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        Topics: Contact Center, CCaaS
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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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