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Better decisions and efficiency through knowledge management
Utilising data in multiple ways
Organisations tend to accumulate enormous amounts of data, which can be used in decision-making. Analytics can make an organisation’s operational management more transparent, provide new and more detailed business information, remove bottlenecks, and automate decision-making.
Web analytics and user feedback offer notable data for digital service design and developing the user experience further.
We solve challenges related to customer data. Challenges can be related to setting up and maintaining a database, and refining data for reporting or predictive analytics purposes. The most fun part of my work is to utilise new technologies and develop solutions that are truly beneficial for the customer.
- Olli, Senior Data Scientist
Data-driven decision making
What is knowledge management?
- Knowledge management is based on a specific business strategy and key indicators. The value drivers are identified and suitable performance indicators are selected for them.
- Target levels and an action plan are determined for the indicators to reach your strategic goals.
- The tools include those used for reporting, data storage, analytics, data science, and automation, where required.
- As a result, a clear set of indicators and a proactive model are created to help with decision-making.
We utilise multiple technologies in our work, including:
“We help our customers thrive through excellent holistic digital services. By holistic I mean an ability to serve all the levels of a customer organisation and create a diverse range of digital services."
- Ari, Financial Manager
Value of data in software development
Data plays a major role in software development. Analytics provides a way to measure whether a service meets its developmental goals. Based on data, analytics can also indicate if any of the service elements need improvement, for example in terms of technical performance or lead time.
Web analytics, feedback surveys, and user surveys offer us valuable data and development areas from the real users. Based on the data we can develop the service better and better.