Requirements analysis, vendor evaluation and recommendation for data management solutions for a client in the automotive industry
The road to meaningful data management is long and the initial step to succeed on a data management journey lies in recognizing the importance of data in an organization. The project focuses on finding a scalable and practice-oriented data management solution for a company undertaking this journey.
Michelle Flück & Ursina Berther & Yomiyou Muddie & Gazmend Shefiu & Davide Alexandre Craveiro Seabra, 2021
Projektarbeit/Praxisprojekt, Ronal Group
Betreuende Dozierende: Michael Pülz
Keywords: data, data management, data governance
Our client, a manufacturing company in the automotive industry, realized the importance of data as a facilitator for business success. To this day, issues in data are not addressed in a systematic way, therefore data quality and data management processes cannot be effectively measured. The following pain points were identified:
- Extensive manual processing
- High effort to find data (data discovery)
- Non-measured data quality (incomplete / incorrect / not timely data)
- Improvement of data usage and interoperability
- Historic siloed master data
The project has been split into five phases using the waterfall-approach. Each phase was handled by applying agile methods. An As-Is-Analysis built the foundation for phase 2 - The development of a requirements catalogue. Phase 3 focuses on a market analysis for data management software solutions and evaluation of ten preselected vendors. Phase 4 compares three different software solutions, resulting in a recommendation of two suitable data management solutions. Phase 5 covers the technical aspects and organizational prerequisites for implementing a data management software solution.
The project results provide a foundation for the client to select and implement a practice-oriented and scalable data management solution.
The client benefits from a catalogue of functional and non-functional requirements serving as an enabler for an offer negotiation. Additionally, a market analysis and detailed vendor evaluations provide insight into the data management market and the suitability of ten vendors.
A recommendation for a data management solution, in which the three most suitable data management solutions were compared, results in a final recommendation of two data management software solutions that were deemed as equally beneficial for the client.
The recommendation for implementation provides an activity-register covering the technical implementation of the recommended solutions. The activity-register also highlights the importance of organizational prerequisites the client needs to consider, to successfully implement a data management solution.
These deliverables enable the client to now further determine which data management software solutions fits their needs best and establish contact with the vendor and initiate the implementation process.
Studiengang: Business Information Technology (Bachelor)
Fachbereich der Arbeit: Business Information System & IT-Management