Advanced Analytics

Embracing the Challenges of Gaining Value from Analytics

Data volume and higher transaction velocities associated with modern applications are driving change in organizations across all industries. This has occurred for many reasons. Customer and end-user expectations for interacting with computerized systems have changed—and technology changes to accommodate these requirements. Furthermore, larger and larger amounts of data are generated and made available both internally and externally to businesses. Therefore, the desire and capability to store large amounts of data continues to expand.

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Modern Analytics

Analytics – now – and in the future

It has been going on for decades on the mainframe
The future is about doing it better in multi-platform environments
And – in real time

Given the meteoric rise in the use of smartphones, the increasing inter-connectivity between what were previously non-connected devices (IoT), and more business-relevant data becoming available now more than ever before, you need to ask yourself – “Okay, just exactly how do I find the proverbial “needle in the haystack?”

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big data analytics

Big Data at true scale!

Big Data is not an overly sized star trek character or endless storage, but is rather the new currency for IT organizations, that can be analyzed, queried and manipulated to provide a meaningful outcome to almost any analytical question.

And that currency has been paying off big dividends for those organizations with the need and the willingness to dive in. Here are some examples of how the Big Data and Analytics currency is being used today in business environments.

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A guide to machine learning

Machine learning (the subfield of computer science that, according to Arthur Samuel, “gives computers the ability to learn without being explicitly programmed”) is one of the most innovative and interesting fields of modern science around today. Something that you probably associate with things such as Watson, Deep Blue, and even the infamous Netflix algorithm. However, as sparkly as it is, machine learning isn’t exactly something totally new. In fact, the concept and science of machine learning has been around for much longer than you think.

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A Clear Picture

A Clear Picture

IT and business management are increasingly concerned with the rising costs associated with their highly complex and ever-growing mainframe and distributed systems data centers. They are also concerned about controlling outages and mitigating the lack of transparency that they have into cost drivers—including in their outsourced environments.

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