Kristiina Loodus
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Data Warehousing
A data warehouse is the heart of business analytics. The main obstacle to generating a well-functioning overall picture from your data comes from the fact that company data tends to be stored in different channels, forms, storage mediums, versions and formats. We help you gather different data into a centralised data warehouse, which simplifies their access and reuse, and allows you to create whole new layers of knowledge by combining data that up until now was completely incomparable.
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Data Visualisations
Visualisation takes the meaning of data and makes it visible.
The right colours and diagrams help you to instantly grasp the most important facts from any data, and they considerably speed up business decision-making.
Comparisons, connections, contrasts, differences, causality, hierarchy, explanation, structure, patterns – we train you to see, understand and interpret your data with the help of modern visual analytics tools.
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Data Engineering
A clear vision in a complicated world.
Data engineers are also called architects because they create an integral picture of how different data sources and applications can be joined together.
How to transfer data from one system to another, merge different systems, model, organise, balance, automate, migrate and integrate data? Let us work it out for you.
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Machine Learning Solutions
Machine learning gives you a competitive edge.
By creating and fine-tuning various prognosis models, we help you find answers to even the most complex business problems.
Which clients are the most likely to stop using our services? What is the sales value of a specific end product? To which client, with which price and in what way should we sell?
How to make quicker and more precise data-driven decisions? Which actions and decisions should be easily repeatable või automated?
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Consultation and data manager services
A data manager helps to find what is important.
Single pieces of data are like seeds with potential to grow into large trees bearing fruit. In order to extract this knowledge and insight from them, we need to plant the right seeds into fertile ground and nurture them.
And this is what a data manager does, by employing various sources and databases, and building different models between them. This is how ripe fruit ends up on your table, ready for you to take and use to your advantage.
You know that data and knowing how to use it is important, but you’re not sure where to start?
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