Analyst Perspectives


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I have written before about the continued use of specialist operational and analytic data platforms. Most database products can be used for operational or analytic workloads, and the number of use cases for hybrid data processing is growing. However, a general-purpose database is unlikely to meet the most demanding operational or analytic data platform requirements. Factors including performance,...

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Topics: business intelligence, Cloud Computing, Data Management, Data, analytic data platforms, Analytics and Data


Earlier this year I described the growing use-cases for hybrid data processing. Although it is anticipated that the majority of database workloads will continue to be served by specialist data platforms targeting operational and analytic workloads respectively, there is increased demand for intelligent operational applications infused with the results of analytic processes, such as...

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Topics: Business Intelligence, Cloud Computing, Data, Streaming Data Events, analytic data platforms, AI and Machine Learning


People analytics enable organizations to gain data-driven insights that optimize the impact and value of the workforce. For decades, human capital management (HCM) leaders have been sold tools marketed as analytics that were no more than dashboards filled with nice visualizations of historic data with no context as to what each individual data point meant to their strategic objectives and...

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Topics: Human Capital Management, Workforce Management, analytic data platforms


I have written recently about increased demand for data-intensive applications infused with the results of analytic processes, such as personalization and artificial intelligence (AI)-driven recommendations. Almost one-quarter of respondents (22%) to Ventana Research’s Analytics and Data Benchmark Research are currently analyzing data in real time, with an additional 10% analyzing data every...

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Topics: Cloud Computing, Data, Streaming Analytics, Streaming Data Events, analytic data platforms, Analytics and Data


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...

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Topics: Business Intelligence, Data, analytic data platforms, AI and Machine Learning


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