Data Science

Although the rise of the digital industrial revolution has been around for a while, it is not yet a given for every organization. With the Perfact Industry 4.0 Scan we make an analysis in the areas of leadership, culture, people, organization and technology to see where an organization stands today and in which areas there are opportunities. Depending on the maturity of your organization and ambitions on this topic, an appropriate roadmap with concrete project proposals and a strategy can be set out on one or more of the reviewed themes.

Master data management is essential for those who want to set up their processes in an efficient manner. Dates ofar customers, products, materials as well as employees can provide valuable insights and financial benefit, provided it is deployed in a smart way. Through tools such as ERP, SAP and PowerBI our consultants put everything neatly together for you thus making any organizational issue transparent.

Companies using business intelligence analyze large amounts of “raw” data with the goal of using it to obtain valuable information for making strategic and operational business decisions (business insights). This so-called raw data is usually from different software systems within the company, such as an ERP, HRM, DMS or specialized financial software. Examples of raw data: sales data, market trends, financial results, etc. For business intelligence to succeed, sufficient data must be analyzed. The IT department can ensure Ensuring that the right data is extracted in the right way from the various internal software systems.