Big Data

Industry 4.0: Is Switzerland Ready? Part 2

The Fourth Industrial Revolution is seeing an incredible increase in both digitization and the digital integration of products and parts of the value chain. So how can companies optimize their processes and protect their data in a time when everything is part of an integrated network?

New generation: the data-driven auditor

How to audit the massive data volumes that companies nowadays process in their financial IT systems? The answer is obvious and recognized by financial auditors: data analysis. The challenge for an audit firm to become successful in data driven audits is not the technology, but to re-design the traditional audit approach.

Compliance & Digitalization geht nicht ohne Datenmanagement

Das Bedürfnis der Regulatoren nach umfassenden Bankdaten nimmt weiter zu. Regulatorien belasten diejenigen Finanzinstitute, deren Daten und Applikationen nicht auf diese Anforderungen ausgelegt sind. Hohe Compliance-Kosten lassen keinen Platz mehr für Innovationsbudgets. Sie sind mittlerweile so hoch, dass sich kleinere Banken in ihrer Existenz bedroht sehen.

Can you trust your data?

The magnitude 9.0 earthquake in Japan in 2011 shattered lives. The destruction surprised the world since few expected a catastrophy that large. Much of the damage could have been avoided if seismic model uncertainty were taken into account. Business is not different, data analytics without understanding of uncertainties can lead to directly harmful decisions.

Quo Vadis Technology?

The Financial Services sector is in transformation mode. It is not enough to have a FinTech collaboration or a team of in-house digital experts. FS institutions have to adjust their existing corporate culture and the overall business model significantly.

Impact of Big Data on the insurance industry

Big Data is bringing decisive advantages to insurers through more relevant, detailed, and up to date information. Insurance executives globally are trying to work out what all this means for their customers, their operating models, their bottom lines - some are successful, some are struggling and some have other priorities.
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