Utilizing data in new ways for decisions and actions:
- Combining data from different sources
- Development of real time dashboards
- Development of predictions
- Tools to support decision making and actions
- Both for businesses and for education institutes
Data analytics of connected IoT devices and digital service processes:
- Operations and production management
- Quality control and traceability
- Predictive maintenance
- Improvement of customer services
- Supporting students at education institutes
Data analytics and digitalization eneble new services and ways of work, such as:
- Remote monitoring of equipment and processes
- Predictive maintenance and spare part services
- Warranty extensions and life cycle management
- Or changing the whole business model from products to services
Objectives and questions to data
We will have with you a workshop to work out:
- Selection of an objective and expected benefits
- The most important use cases and users
- Questions to data
- Available data sources and data
After this phase we have chosen a subject for data driven development and defined key elements for the solution
Is data able to answer to questions
Based on the workshop we'll make a data analysis:
- Selection of use case to be analysed
- Analysis of data content and quality
- Is data adequate for teaching the AI
- Choosing the approach for implementation
After this phase we have gained understanding of feasibility to implement the data driven solution
Implementation and experiment in practice
PoC for selected data-analytics solution:
- Data model, cleansing and refinement of the data
- Data visualization
- Machine learning experiment
- Statistical analysis
- Expert reviews and user trials
After this phase we have gained understanding of solution functionality in practice and have basis for the productization
We developed a solution which utilizes analytics in a new way and piloted it to learn how education institute can support students to graduate. Pilot was done in co-operation with Tredu, Tampere Vocational College.
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Definition of new digital service for the use of tutor personnel; how studies are progressing and which students need steering and support.
Improvement proposals for ways of work and recommendations for the architecture and technologies.
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Driving for clear and easy to buy accounting service packages for start-up companies. Project included definition of service content, pricing and testing with new customers.
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Cloud based application developed on Microsoft Azure platform to demonstrate different use case scenarios based on data from IoT sensors.
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Service concept wireframe model, data analyses and technology pre-study on a solution which improves the quality and speed of decisions about initiatives by applying artificial intelligence in cloud service.
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Project delivering definition and partially already implementation of more efficient tools and practices for managing and analyzing force measurement product test data. Also product key performance indicators were defined.
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Steamlane delivered with it's partner Treon an IoT-pilot for predictive condition monitoring in Tampere Water clean water pumping station and City of Tampere stormwater pumping station.
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Three phase project: 1. Workshop 2. Data-analyses 3. Proof-of-Concept, to develop ideas and test new solutions for air quality measurements and analyses at schools and day care centers.
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Steamlane implemented IoT cloud environment, data-analyses and monitoring application to support development and customer pilots of predictive condition monitoring solution for pumps.
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