Analyst Viewpoint All organizations strive to gain operational efficiency and competitive advantage using data and analytics. The combination of cloud computing and advanced analytics has lowered the cost of storing and processing large volumes of data with a view to identifying new business opportunities and responding to competitive threats. Accumulating large volumes of data is a starting...
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Analyst Viewpoint Consumers regularly engage with data-driven applications that provide personalized experiences and recommendations. Real-time data processing and intelligence are also becoming essential in the development of intelligent enterprise applications that deliver content and recommendations driven by predictive and generative AI to users responsible for customer experience, people...
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Analyst Viewpoint Digital transformation is driving fundamental change for organizations of all sizes in all industries. As engagement with customers, suppliers and partners is increasingly conducted through digital channels, modern organizations are almost completely dependent on their applications and infrastructure. Collecting, monitoring and correlating the telemetry data generated by...
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Analyst Viewpoint Master data management (MDM) as a discipline has been around for decades. And MDM software has been evolving over time to help organizations meet their changing data requirements. But if your understanding of MDM software is even a little bit dated, it’s time to take another look. The early days of MDM were not even about MDM software, because applications dedicated to the...
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Analyst Viewpoint The potential value of telemetry data is well understood. Monitoring and analyzing the data generated by computing infrastructure—including servers, networking equipment, IoT and applications—can help organizations identify issues and ensure their systems are operational, secure and performing as expected. Observability platforms provide dedicated environments for monitoring...
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Analyst Viewpoint Business analytics doesn’t have to be a mystery, yet there are many myths that persist about how to become a data-driven organization. In the age of disruption, organizations need to have access to all of their data, and they must be able to apply a wide range of timely analytics. To do so can be challenging. The lack of reliable data, control challenges and concerns around...
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Analyst Viewpoint The transition to cloud computing has introduced new challenges for organizations seeking to satisfy the next generation of business requirements for digital transformation. Doing this is not simple; the reality is that the many disparate cloud-related technologies and the methods used to interconnect them were designed neither to interoperate easily nor to function in real time...
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Analyst Viewpoint Relational database technology first appeared almost a half-century ago and for decades the database market appeared to be consolidating around the use of relational databases for most types of workloads, even if it wasn’t very well suited to some of these workloads. More recently, though, as the big data market has exploded organizations have become less reliant on relational...
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