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        ISG Software Research Analyst Perspectives

        Organizations are constantly trying to streamline and optimize business data to solve complex problems and identify opportunities to increase revenue and accelerate business growth. The data is usually stored in multiple systems with various data governance rules, which makes it complicated to democratize data and analytics within an organization. The most pressing concerns cited by participants in our Analytics and Data Benchmark Research include difficulty integrating with business processes,...

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        Topics: Domo, BI platform

        As I recently described, it is anticipated that the majority of database workloads will continue to be served by specialist data platforms targeting operational and analytic workloads, albeit with growing demand for hybrid data processing use-cases and functionality. Specialist operational and analytic data platforms have historically been the since preferred option, but there have always been general-purpose databases that could be used for both analytic and operational workloads, with tuning...

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

        Organizations are scaling business intelligence initiatives to gain a competitive advantage and increase revenue as more data is created. Lack of expertise, data governance and slow performance can impact these efforts. Our Analytics and Data Benchmark Research finds some of the most pressing complaints about analytics and BI include difficulty integrating with other business processes and flexibility issues. Kyvos is a BI acceleration platform that enables BI and analytics tools to analyze...

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        Topics: Business Intelligence, Data Governance

        I recently wrote about the potential benefits of data mesh. As I noted, data mesh is not a product that can be acquired, or even a technical architecture that can be built. It’s an organizational and cultural approach to data ownership, access and governance. While the concept of data mesh is agnostic to the technology used to implement it, technology is clearly an enabler for data mesh. For many organizations, new technological investment and evolution will be required to facilitate adoption...

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        Topics: Analytics, Business Intelligence, Data Governance, Data Integration, Data, data operations, AI & Machine Learning, data platforms, Streaming Data & Events

        At Enterprise Connect in March, Amazon announced new functionality in its cloud contact center platform, Amazon Connect. The company is now including a full Workforce Optimization component, which includes built-in forecasting, capacity planning and scheduling capabilities. It's no surprise that Amazon is adding these capabilities, as WFO has become a core component of a complete CCaaS platform.

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        Topics: Customer Experience, Contact Center

        Kinaxis is a sales and operation planning software company headquartered in Ottawa, Canada. Its RapidResponse is an S&OP platform for concurrent planning, designed to integrate an organization’s supply chain planning silos, accelerate planning cycles and optimize supply chain execution to match customer demand.

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        Topics: Continuous Planning, Business Planning, Operations & Supply Chain, Enterprise Resource Planning, continuous supply chain

        I recently described the use cases driving interest in hybrid data processing capabilities that enable analysis of data in an operational data platform without impacting operational application performance or requiring data to be extracted to an external analytic data platform. Hybrid data processing functionality is becoming increasingly attractive to aid the development of intelligent applications infused with personalization and artificial intelligence-driven recommendations. These...

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        Topics: Analytics, Business Intelligence, Cloud Computing, Data, Digital Technology, AI & Machine Learning, data platforms, Analytics & Data

        There is a fundamental flaw in information technology, or at least in the way it is most commonly delivered. Most technology systems are developed under the assumption that all people will use the system primarily in the same way. Sure, there are some options built in — perhaps the same action can be initiated by either clicking on a button, selecting a menu item or invoking a keyboard short-cut. The problem is that when every variation needs to be coded into the system, the prospect of...

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        Topics: Business Intelligence, Data Management, natural language processing, data operations, AI & Machine Learning, Analytics & Data

        The data governance landscape is growing rapidly. Organizations handling vast amounts of data face multiple challenges as more regulations are added to govern sensitive information. Adoption of multi-cloud strategies increases governance concerns with new data sources that are accessed in real time. Our Data Governance Benchmark Research shows that organizations face multiple challenges when deploying data governance. Three-quarters (73%) of organizations report disparate data sources as the...

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        Topics: Data Governance, Data Management, data operations

        Personalization is everywhere, from clothes that are selected for us and delivered to our homes, to the ads we see, to the movies we stream. It’s no surprise that employees expect that same level of curated experience in the workplace. And yet, evidence abounds to the contrary. The proverbial black hole of recruiting is still the bane of existence of everyone who has applied for a job online and has heard nothing back. Companies still tout “self-directed career advancement” as a positive...

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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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