Hidden Insights

Analytics

Find out how analytics, from data mining to cognitive computing, is changing the way we do business

Carl-Olow Magnusson12 June 2017 1

A powerful tool should not distract the purpose

In May and June I will tour the Nordics presenting the new experience working with SAS Visual Analytics. It struck me how powerful visualization tools are today, easy to use, drag ‘n’ drop interfaces and with a few clicks you can do things we didn’t thought was possible just a

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Analytics | Data Visualization

Anand Chitale8 June 2017 0

Getting visual analytics design right

A picture tells a thousand words.We’ve all heard this so many times that it has become a cliché. And we have perhaps started to believe that the picture itself doesn’t matter all that much. If you are finding it hard to explain the story in your data, why not just

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Analytics

Nicolas Terrasse7 June 2017 0

A sense of place: using geolocation to transform banking

Geolocation is the use of technology to identify the real-world location of an object or a person. Global positioning systems are an example of geolocation, as is the use of mobile phone signals to identify a phone’s location — a system which has been crucial in a number of criminal

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Banking

Analytics | Artificial Intelligence | Internet of Things | Machine Learning

Thomas Rohrmann1 June 2017 0

Will heightened interest in AI accelerate IoT deployments?

“Anyone who wants to be 100% sure, will be 100% late.” I heard this sentence recently at the IoT Forum in Munich. It is a very good summary of the feeling that is emerging in the debate on Industry 4.0. The buzzword battles of the past 48 months seem to

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Manufacturing

Analytics | Fraud & Security Intelligence

Sadi Bezit31 May 2017 0

Errors, anomalies and fraud in the purchase process

The most efficient organizations focus on process management. They use enterprise resource management platforms to provide functional and technical support, and organizational integration to optimize the most critical processes. Organizations can even be managed using a functional process orientation that crosses organizational silos and maintains the traceability of transactions. These

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Analytics

Robert Ruf26 May 2017 0

Why business controllers are becoming citizen data scientists

The unfolding digital economy is impacting not just the way companies engage with their customers, but also how businesses are internally managing themselves. The business control function needs to keep pace, and many business controllers I meet think there is now a demand for Controller 2.0. But what is this

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Analytics

Hans Bonde24 May 2017 1

Forecasting tender demand

When I talk to companies on how to improve their forecasting process they often share their difficulties with handling demand from potential large orders, where they are in a tender situation. Further, demand originating from tenders is increasing. Tender demand have characteristics which makes it difficult to handle in traditional

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Analytics | Risk Management

Colin Hill19 May 2017 0

Can citizen data scientists improve risk management?

The rise of citizen data scientists—business users who are able to do at least some of their own analytics—has been touted as many things. Some have suggested that it is a very good way to address shortages of dedicated data scientists. Others, more cynically, have suggested that it is simply

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Analytics | Data Management

Mike Wake18 May 2017 0

GDPR and compliance: the place of analytics

The General Data Protection Regulation (GDPR) marks a Big Change for countries holding and handling data about EU citizens. Or does it? I suggest that GDPR, although important, and requiring organisations to take action, is actually just the latest in a long line of efforts by regulators to ensure that

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Analytics | Data Visualization

Helge S. Rosebø17 May 2017 0

Fire propelled ancient intelligence – Results as a Service can light up analytics

A big part of our existence is about making choices. Preferably the best ones. Evidence-based decision-making matters more than the type and quantity of the data, and by establishing evidence-based decision-making as a deep corporate culture, you could fulfill data’s vast potential. I find the resemblance between this way of

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Analytics