Hidden Insights

Analytics

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

Joao Oliveira16 August 2017 0

Streaming data: still a huge, untapped resource

Remember when performance reporting took place monthly, or even annually? When executives solemnly received a static report in a board meeting, which told them what had happened a month or so ago, often longer, and they had to make decisions about what to do next? This period actually isn’t all

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Banking | Insurance | Retail

Analytics | Data Management

Helmut Plinke14 August 2017 0

How do you manage consent for GDPR?

When we talk about consent management for GDPR we quickly come to the notion of “consent for a purpose”. It might have been sufficient in the past to provide a form with a single generic consent check box and store the fact that consent was given or not. But nowadays

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Analytics | Artificial Intelligence | Customer Intelligence

David Cosgrave10 August 2017 0

Real-time customer experience: Accessing the whole picture

Real-time customer experience is a vital driver of growth. Acting in real-time, armed with the most up-to-date information about your customer, can hugely improve customer experience. Many of SAS’s customers have generated significant competitive advantage from trying to align closer with the real-life experiences of their customers. But how many

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Banking | Insurance | Retail

Analytics | Artificial Intelligence

Per Hyldborg8 August 2017 3

Unleashing diversity

Diversity is a big topic in the press at the moment. In July, the UK’s BBC published data about pay, exposing a huge gender pay gap. But the question of diversity goes far beyond a simple pay gap. I caught up with Josefin Rosén to discuss how organizations can harness

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Analytics | Internet of Things

Britta Skriver4 August 2017 1

The Productivity Paradox - How IoT is changing perceptions

Evaluating productivity is deceptively simple: output over input equals productivity. In reality, however, how you measure input and output can be surprisingly important. The arrival of the industrial Internet of Things (IIOT) has not altered the fundamental problems. We may have more data but deciding which data to use is

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Analytics

Katrina Wakefield25 July 2017 0

The growing influence of developer experience in high performance analytics

A growing area of focus is analytics developer experience, and for good reason. As with applications, analytics teams need to respond to business needs in an agile manner, and developers play a crucial role. But how exactly does developer experience fit into the broader scheme of things? I asked Mark

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Analytics | Fraud & Security Intelligence | Risk Management

Michael Rabin14 July 2017 0

Fraudsters love digital

Anyone who believes that digitization has made the issue of insurance fraud go away is unfortunately wrong. One in ten reported damages and claims are still invented or manipulated. The cost: at least €5 billion per year in Germany alone for property and casualty insurance. In other words, not even including

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Banking | Insurance

Analytics

Marieke Hilbers7 July 2017 0

Agile business intelligence: 11 ideas to assess your self-service progress

The current excitement about self-service analytics centres around two main areas. The first is the rise of ‘citizen data scientists’, business users who are using self-service analytics to produce insights. They are drawing on a combination of their knowledge of the business, a level of comfort with analytical technology and

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Advanced Analytics | Analytics | Artificial Intelligence | Machine Learning

Gregor Herrmann23 June 2017 0

How will APIs change the role of data scientists?

Application programming interfaces, otherwise known as APIs, are set to radically change the face of analytics. These little bits of code are working behind the scenes, hidden treasures that allow two pieces of code to talk to each other. This means that developers can borrow functionality from other apps.

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Analytics

Elie Mikhael20 June 2017 0

HR analytics: improving hiring, retention and engagement

Reading quite a lot of the press and commentary about analytics, you could be forgiven for thinking that these techniques were only usable for customer-facing work. Improving sales and marketing? Yes, you want analytics, using Big Data about your customers. But there are plenty of internal and operational issues where

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