Tag: Big Data Analytics

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Business Impact Comes in All Sizes

Complex problems confront enterprises of all sizes — the successful resolution of those problems usually has significant impact no matter the size of the organization. The right-fit technology frequently matters to help solve complex problems. More and more companies are now considering the impact on business results when making technology investments. Very few enterprises can [...]

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More on Scaling Data Integration In Support of Big Data

I was very pleased to see that Pervasive’s recent Integration World conference included new thought leadership from Pervasive around Big Data, including analytics and integration.  The idea that you don’t need to adjust your data integration approaches and technology to accommodate Big Data gets many enterprises in trouble these days.  Indeed, there are a few [...]

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Vision Critical Data

The use of data visualization to capture or express results from BI and analytics processes has increased greatly, particularly with the growing interest in “big data” analytics. For many companies, data visualization is seen as a way to express more complex concepts that hopefully will be grasped by business roles quickly and clearly to lead [...]

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Innovating Data Integration and Business in the Cloud

As more applications and services proliferate in the Cloud, it may well be that this overall Cloud tech arena will be instrumental in demonstrating the increasingly important role of data integration for meaningful and timely business processes and operations. Enterprises have already made a start with using Cloud services for on demand BI and analytics, [...]

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For Right-Time Analytics, Data Doesn’t Just Live in the EDW

Whether the focus of an enterprise is on “big data” or not, analytics-driven companies are faced with processing many new data sources from inside and outside the firewall. These data sources may be complex structures — or the complexities may come from other aspects such as data trading protocols and message transports. Depending on the [...]

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