Create value with data - and boost competitiveness
Bloom’s primary focus is headhunting and recruitment within IT, technology, and digitalisation. With three Gazelle awards under its belt, Bloom is already in top form and there is still untapped growth potential ahead. Therefore, it is interesting to explore the company’s data to create further value and strengthen competitiveness. design concern helped Bloom with analysing existing data, the customer journey, and idea development to ease everyday life with data.
design concern
Deliveries.
Bloom
Results.
Research and findings
Summarisation of data
Identification of opportunities and initiatives
Visualisation of chosen initiatives
Thank you so much for this successful project work and a great collaboration!”
Sara Juhl, Director at Bloom
About the project.
Data has become an invaluable resource for businesses and the ability to utilise it can be vital to success.
To get off to a good start in utilising data, Bloom applied for and was granted an SME:digital pool “Create value with your data”. design concern was chosen as advisor.
The project started with an expectations alignment and plan for the project. A data analysis was initiated, followed by a workshop with both management and employee participation.
The data analysis showed that Bloom generally performs well and has a good handle on its data, but that there are also areas that can be improved.
We worked with the customer journey and especially the digital touch points and how data can support the sales and recruitment process. Here we established an overview of where further development is needed and where additional data collection may be required.
Based on the data and findings, ideas were generated and new ideas that can increase competitiveness emerged. Next, the ideas are prioritised for implementation.
How the process works.
At design concern, we work systematically and process-orientated. This creates the best conditions for gaining insight, utilising knowledge and data, developing ideas on the right basis, and creating the best results.
- Understanding business goals and challenges
- Data gathering and analysis of existing data
- Collecting new data
- Data overview, customer journey, identification, and ideation
- Implementation and follow-up
