Hidden Insights

Analytics

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

Analytics | Customer Intelligence | Risk Management

Sofia Real20 March 2019 5

Uma geração de clientes | Millennium bcp

A relação do SAS com o Banco Comercial Português – cujas atividades das operações bancárias se desenvolvem atualmente sob a marca Millennium bcp – começou em 1995, com 5 utilizadores PC Windows. Hoje, passados 24 anos, continuamos junto do maior banco privado português, com a missão de o ajudar a

Portuguese

Banking

Analytics

Andy Davies18 March 2019 0

How a UK police force is using analytics for deep insight into local crime

In my first post, I discussed how analytics should play a major role in modern policing to help forces plan for the future and meet the requirements of the Force Management Statement. In my second post, I went on to discuss the importance of police data and data preparation to

English

Government

Analytics

Andreas Becks14 March 2019 0

Bring light into the black box: Making AI decisions explainable

In my previous blog post, I introduced the “four pillars of trust” for automated decisions. The key takeaway was that explainability and transparency refer to the entire analytical process. But what about the “black box” of machine learning algorithms? Here, too, the analytical platform must guarantee transparency. The good news

English

Analytics | Data Management | Internet of Things

Reece Clifford12 March 2019 0

Unlocking analytics for multi-sport events

The reach of sports analytics is growing by the day. Increasingly, fans expect access to additional information when viewing their favourite sport. The Premier League has started to provide information about distance run, completed passes and penalty placement history. The Australian Football League shows—on live TV—the heart rate of a

English

Sports & Entertainment

Analytics

Michael Rabin12 March 2019 0

Changing the insurance business model while keeping actuaries at its heart

Insurance companies are working hard to renew their business models. A huge part of that is a modernised approach to actuarial practice, but why and how? I asked my colleague, actuary Diego Rivas. The insurance business looks like a smooth, calm river from the outside. Is that image misleading? DR:

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Insurance

Analytics

Sofia Real11 March 2019 0

Uma geração de clientes | AGEAS SEGUROS

A relação do SAS com a AGEAS Seguros, outrora AXA Portugal, começou há cerca de 20 anos, com o objetivo da então líder mundial em proteção financeira poder aceder a bases de dados e criar uma Data Warehouse. Estava assim dado o primeiro passo para uma relação de confiança e

Portuguese

Insurance

Analytics

Mayra Pedraza8 March 2019 0

Re-energising citizen engagement

Could smart cities and social media be the perfect match? Politics is a divisive issue and not simply from a philosophical standpoint. Different sections of society have very different engagement levels. We could postulate many reasons for this, but the real question is, how can government re-energise citizen engagement in

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Government

Analytics

Katrina Wakefield7 March 2019 0

Can you learn to be data-driven, or is it in the DNA?

Most of us occasionally stand back and marvel at the meteoric rise of businesses succeeding in the algorithm economy. Not only are they steeped in data decisioning, but it’s also in their DNA. True, they are fortunate to be born of big data and in the advanced analytics era. But

English

Government

Analytics

Karen Prillwitz20 February 2019 0

Digitisation: Conflicts and chasms between established and new worlds

“We have a data lake. Nowadays, who needs a data warehouse too? That’s totally antiquated. It’s an obsolete model.” I often hear this kind of sentiment in my consulting work with clients. Dynamic analytics and digitisation teams face what they see as antiquated systems that are in urgent need of

English

Analytics

Frédéric Labat19 February 2019 0

Driving business outcomes: the truth is out there

So you want to achieve business outcomes, and very likely data and analytics can help. But how? You know what you want to achieve, but you are not experts in data and analytics. We are experts of data and analytics, but we don’t know what you want to achieve. How

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Blogs

Blogs

Analytics