Process Reengineering

At Vision Business Consulting, we specialize in the field of Data Engineering, offering cutting-edge solutions to help businesses harness the power of data. Our team of data enthusiasts works closely with our clients to design, develop, and implement robust and scalable data processing systems.

Our Data Engineering services cover a wide range of offerings. We provide in-depth expertise in designing data pipelines, integrating heterogeneous data sources, collecting, cleaning, and transforming data, as well as efficient data storage. We also establish modern and high-performing data architectures, such as data warehouses, data lakes, and distributed processing solutions.

With our proficiency in state-of-the-art technologies like Hadoop, Spark, Python, SQL, and many others, we are capable of delivering customized solutions that meet our clients’ specific needs. Whether it’s for Big Data projects, advanced analytics, or machine learning, we are here to support our clients at every step, from conception to production deployment.

At Vision Business Consulting, we firmly believe that data is the driver of innovation and informed decision-making. By collaborating with us, you will benefit from our expertise in Data Engineering to fully leverage the potential of your data, transform your business processes, and gain a competitive advantage in the market.

At Vision Business Consulting, we use process reengineering to solve all problems identified through BPMN (See BMPN Article) (Clickable link leading to the previous page).

We know as much as our customers that a management strategy aimed at fundamentally rethinking work practices in order to improve customer services, gain flexibility, agility, fluidity and time-to-market has become fundamental. in a highly competitive environment.

The methodologies we adopt depend on the characteristics of the client company, the context and its strategic objectives. The experience of our consultants to conduct this type of project is therefore very important.

However, we proceed through the following main steps:

I – Identification of the process: the objective is to know what are its inputs, its outputs, the phases, the actors… A very practical tool for this stage is the SIPOC method.

2 – Analysis / search for solutions (see the problem-solving tools): identify the dysfunctions experienced by the authors and the sources of poor performance with regard to the expected levels – Search and choice of solutions in terms of organization and tools.

3 – Projection of the current state towards the desired state, starting from 0 thanks to the methods of “Gap Analysis”. Description of the target process (operation, modelling, physical flows and information flows, human, organizational and financial resources) – Choice of performance indicators.

4 – Development of the action plan: choice and planning of the actions to be carried out to reshape the process – Project management to migrate to the new organization (Budget, Planning and milestones, change management, training, etc.).

5 – Implementation of the new organization: execution of the action plan.

6 – Steering and performance monitoring: the objective is to ensure that the project has been successfully completed. Triggering Feedback to learn and capitalize on the experience acquired.