Blog EN - Business & IT Transformation

The increasing volume of data and regulations require organizations to prove to regulators what data their systems contain, and the path of this data. It is no longer enough to know and master the data, it is also necessary to describe their journey with complete transparency. What does this traceability requirement imply in terms of the strategies to be put in place?

We have some key insights from two experts: Frédéric Fourquet, Product Marketing Manager Data Intelligence at MEGA International, and Ernie Ostic, Senior Vice President of Products at MANTA Software.

The 21st century business will be data-driven or it won't succeed. The importance of data usage for business performance and innovation is, and will remain, decisive for companies that understand its importance and power. Indeed, the complexity of computer systems in the distributed, hyper-connected and digital company, brings an additional richness that makes it possible to keep the promises of Artificial Intelligence: behavior prediction, targeted recommendation, automation, etc.

Less emblematic than diversity or gender aspects, generational issues are often ignored in companies, but they remain a strong signal of the equality policy. Companies have everything to gain from strengthening collaboration between generations.

With new mobile uses, free software, and more agility in IT development, Shadow IT and Shadow SaaS tend to grow. Even if more agility and openness can be a lever of innovation for the business lines, this uncontrolled and even unknown shadow IT escapes good IT governance rules of organizations and if gone unchecked, presents new risks and threats.

Data is now essential for businesses as a critical asset to support a company’s strategy, growth, and survival. Data knowledge's extensive use and re-use can deliver internal and external business performance improvement (Business Processes), provide the appropriate answer to business regulations, and create new disruptive opportunities with artificial intelligence based on “good” Data.

With the onset and outcome of COVID-19, governments have propelled digitization projects and in doing so, faced multiple challenges. In this article, we will take a look at why despite such challenges it was necessary, how governments funded the projects, and how a connected Enterprise Architecture helps in the initiative.