“We help our customers steer their business towards data-orientation, and to design and develop the necessary solutions.”
– Jussa Klapuri, Expert of Advanced analytics and AI
Advanced analytics and AI
Despite the undisputed value of data, it is often still tricky to identify commercial opportunities and use cases. The abundance of opportunities has resulted in a plethora of tools and technologies that one must be aware of to be able to monetize one’s data.
Whether you’re interested in personalization across your digital channels, predicting maintenance need, computer vision or natural language processing, our experts will help you throughout the entire lifecycle of the project – from ideation and concepting through development to deployment.
We validate the concepts through pilot projects which typically spanning a couple of weeks. Based on the results you’re better equipped to make decisions on larger investments.
The solutions that utilize advanced analytics, data science, or artificial intelligence never exist in isolation. Because of this, we design our solutions also considering your existing system architecture, user experience, and taking privacy into account. We also help our customers measure and improve their data quality, and identify potential room for improvement around information management, so that analytical solutions can be built on reliable data.
Discovering business potential
Are you interested in learning what use cases there might be for advanced analytics, data science, or artificial intelligence in your organization? During this two-week project, we document your business drivers and relevant data assets, and identify and describe the use cases with the most business potential.
We validate our customers’ use cases in 2-6-week projects, which aim to prove their technical feasibility, and the underlying business case, in a cost-effective manner. After each two-week sprint, the project is steered according to findings, or the use case is considered proven and ready for productization.
The journey from a machine learning model to a production solution is often long. We help our customers productize their solutions by providing our experience in:
- Concepting and solution design
- IT-architecture and technical design
- Product and project management
- Project deployment
We help our customers to found their data science function, and to define and deploy the ways of working which best suit them. We document team and organisation structures, processes, governance models, skill profiles and ways of working for different parties working around analytics. As a result, common practices agreed on by all parties will make new projects more efficient, work more transparent, and information more reusable.