Advisory

Immobilienanleger im Dilemma zwischen Sicherheit und Rendite

Das einst solide Fundament der Immobilienanlage bröckelt. Mangels Anlagealternativen und getrieben von tiefen Zinsen fliesst weiterhin viel Kapital in den Immobilienanlagemarkt. So wird die Ertragssicherung durch kompetentes Asset-Management zum zentralen Erfolgsfaktor für Immobilienanleger.
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Leveraging Global Business Services and Digital Labor

The convergence of Global Business Services (GBS), robotic process automation (RPA), machine learning, and advances analytics represent the most disruptive force since the Industrial Revolution. Between now and 2025, up to two-thirds of the $9 trillion knowledge worker market place may be affected.
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Switzerland’s next act: from business hub to world’s digital labor hub

Digital labor is one of the key disrupters impacting global business today. The race is on to find the best location for using digital technology to augment and/or automate the tasks of highly-skilled workers. Already attractive for doing business, Switzerland’s got more than just a head’s start.
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White-collar crime in Switzerland causes losses in the billions

The most recent KPMG Forensic Fraud Barometer shows that Swiss courts tried 57 cases of white-collar crime in 2016. While this might be significantly fewer cases than the year before, the total losses exceeded CHF 1.4 billion, a record high since KPMG began gathering data.
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Insurers drive value with blockchain and telematics

These days it seems everyone is talking about blockchain. Major insurance companies are investing into it, consortiums are forming around it and investors are pouring in capital. It’s early days, yet evidence suggests blockchain will create significant commercial and economic value for the industry.
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Protecting customer data isn’t enough. What about employee data?

With the publication of the EU’s General Data Protection Regulation (GDPR), organizations began assessing the regulation’s impact. When it comes to evaluating personal data, enterprises tend to focus on customer data. But what about employee data?
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