Our Way of working
We excel at technology and applying strategic design, with one aim in mind:
creating relevant services and products.
In order to do that, we explore ways in which data forms the basis for new revenue streams
- Machine Learning and data science exponentially increase the value of your data asset.
- Users insights and validations are gathered with different qualitative and quantitative methods, adapted to capture key insights in every phase of the process.
- We use data as the core for your new lines of revenue by merging data and machine learning output with your digital development methods.
Best Network
- Quality
- Smart responses to issues
- Micro product management
Efficient Operations
- Efficient operations
- Predictive management of assets
- Revolutionary pricing paradigms
- Managing customers using smart knowledge
Closing the Loop
- New services imply new knowledge
- Acquire that new knowledge quickly
- Be fast in monetizing the new knowledge
- Be fast at consolidating and scaling success
Intimate Knowledge
- Know who your customers are as human beings
- Use all data
- Enrich at a larger scale
Consumer Relationships as an Asset
- Base your product ideas on your new asset
- Discover then design
New Services
- Monetize your relationships through new B2C and B2B services
- Engage consumers at more touchpoints and interactions
- Enter new areas and collect new data
We use data in a completely new way to build capabilities
Insights as Service
Combine augmented raw data with data science techniques and machine learning to deliver insights. For instance, expose location interpretation as a service to developers.
Profiling & Micro-Segmentation as Service
Turn your consumer data into precise knowledge of who they are as human beings in a format that is useful to them. Expose profiles for developers and integration services.
Micro-services Delivery
Ability for developers to access data services and build micro-services in agile and iterative manner.
Machine Learning as Service
Develop data applications based on a combination of your data and third-party data to deliver value-added products. Example: performance scores based on IOT data.
