Blog EN - Business & IT Transformation

Digitization has placed data at the heart of organizations' initiatives, both for operational and strategic needs. As companies capture massive amounts of data and deal with big data environments, they must maximize their value, manage risk and reduce costs using a sharp data governance policy and strategy.

To withstand the tsunami of risks looming on the horizon, GRC professionals (risk managers, compliance officers, and auditors) have no other alternative than to take a structured approach to risk and control management by leveraging key business information. However, limited visibility on the process design makes this imperative often seem like an impossible mission.

In an evolution that has taken place across several decades, work-life balance has undergone a huge upheaval. The Covid-19 crisis exacerbated this change even further, with the pandemic changing the perception of well-being at work. Because of this, companies must continue to adapt in order to attract and retain the best talent.

At a time when the digitization of the business has accelerated, when every business project is an IT project, there’s pressure on IT to enable and support business transformation. By defining what the organization does, business capabilities are a key concept that allows business and IT teams to speak the same language.

Artificial Intelligence, and more specifically Deep Learning technology, has the potential to disrupt the way businesses operate. Enterprise Architecture, an approach for managing the continuous transformation of companies, is starting to integrate this technology. How? Here are some insights.

In 2012, Spar Nord’s processes were documented in several different places, and with many gaps in documentation. Processes were localised within different business departments, and even within individual teams. This made it impossible for management to see a clear, high-level view of the bank’s processes, and their interdependencies. It also made it difficult to maintain.