Strategy

Five Steps to Start your Digital Transformation Five Steps to Start your Digital Transformation

Five Steps to Start your Digital Transformation

The first step to any project, especially for technology based projects, is to define clear business objectives. Any new technology can make innovation possible and open up new business models. For companies that are not in Tech, the business strategy should always come first. So technology supports a clear business goal.

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The Four Pillars of Security Maturity The Four Pillars of Security Maturity

The Four Pillars of Security Maturity

At our last event, in collaboration with the French Chamber of Commerce in Shanghai and Adaltys , Stephane Monsallier, CEO of System in Motion, covered the essential question: does cybersecurity compliance imply an adequate level of security?

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The Four Biggest Digital Transformation Challenges The Four Biggest Digital Transformation Challenges

The Four Biggest Digital Transformation Challenges

The first step to any technology project is to define clear business objectives. Any new technology can make innovation possible and open up new business models. For companies that are not in Tech, the business strategy should always come first. So technology supports a clear business goal.

read 3 minutes read
Remote Work - It is not only about the Tech Remote Work - It is not only about the Tech

Remote Work - It is not only about the Tech

Remote work is not just about your information systems or any particular aspect of your business. It covers a much large scope so much so that it becomes a company culture for everyone to embrace it through everything they do.

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Data Lie Detectors - 7 Ways to Spot and Stop Data Lie Detectors - 7 Ways to Spot and Stop

Data Lie Detectors - 7 Ways to Spot and Stop

Companies collect, store, process, and analyze data to make decisions. But the data is lying, the decision may not be the best, despite great care and effort. Why would data lie to you? There are many reasons why the data is lying. That could be the result of one of several mistakes at any stage of the process. That could be conscious or unconscious bias from one of the actors of the processing chain. There could be an agenda behind the data manipulation, or it could be an unfortunate coincidence. As companies are more and more data-driven, there is a tension between automating as much as possible the data management and processing, and the need for a bit of caution. There is a strong incentive to trust the data, but there should be a healthy suspicion about the data. Data must be treated as questionable until proven trustworthy. The issues with implementing this strategy are:

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Data-Driven Corporate Culture Data-Driven Corporate Culture

Data-Driven Corporate Culture

The current crisis has changed the way we do business forever but in hindsight, it has also given us the time to reflect on our habits and lean more towards efficient business practices, towards a data-driven corporate culture.

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