Kiitot is a provider of research-based analytics and solutions
Kiitot's foundation is based on the idea that technology should be adding value in people's lives. This is not always clear, making it important to look at extant research. By doing this, we will find "why" and we can proceed to "how".
We also research and develop our proprietary applications from corporate finance fintech to preventive healthcare, wellness, and sustainability. If there is interest, match, and synergies, we are very happy to collaborate.
News
Catch up on Kiitot news feed updates on either LinkedIn or Facebook as the updates are the same. Kiitot does not send a separate newsletter.
Analytics
Some things are never tried before. To do so, the research and innovation/development needs knowledge and skills to propel itself away from the status quo. Many innovations emanate from chance circumstances, which is great! This emphasizes the saying that it is better to be lucky than good. In other cases, or most of the cases, we cannot rely on such serendipity and need to do the work.
The businesses are experts in their domain and know what might work. This could be in their proprietary data that may not have been used. Kiitot aims to identify and measure the phenomenon which can be used for the advantage of these businesses. This may be for enabling, substituting, making for more efficient processes, or scaling.
It starts with listening to the project stakeholders, following on research, and looking at the data. There is a wealth of useful tools, but the application of them is the key to improving and adjusting KPIs or enabling new business processes altogether.
Researched Regression & ML
- Factor discovery
- Measuring
- Forecasting
- Prediction
- Classification
Areas to Optimize
- Sustainability
- Routing
- Scheduling
- Process
- Spend
- Profit
- Reach
Factor Persistency
- Trending
- Seasonality
- Event studies
- Change of paradigms
Let's get the covariates right. If these are not correct, the results may be noise. Sometimes we are limited with data so we might need to use supervised machine learning.
Solutions
Proprietary data or Big Data acquisition using APIs or web crawlers. Storing, management, and research of data. Data expertise in time series, descriptive, image, and surveys. We will see the best ways for data cleaning and transformation.
We can also advise on the application of digital assets or cryptocurrencies for corporate finance. We cannot advise on any direct investing in them and other such limitations may apply. We can also set up an interacting system or dynamic data visualisation using off-the-shelf software packages, but we can also refer to this work somewhere else as many such services are already available. Let's have a look at the best solution together.
About
This is really where the essence emanates: For Kiitot the day-to-day emphasis is on working with the best global talent. Kiitot has a strong network of practitioners and academics in IT, finance, and technology. By emphasizing discretion and integrity in our work, we want to be part of #teamvalueacreation.
Dr Tatja (Tati) Kärkkäinen is the founder of Kiitot and financial technology, specialising in artificial intelligence (AI), asset tokenisation, and advanced data analytics. Tatja leads Kiitot’s research, development, and innovation (RDI) activities, steering the platform's focus toward digital asset valuation, decentralised finance (DeFi), and intelligent regulatory technology (RegTech) designed specifically for the SME sector.
During her research, she empirically evidenced the existence of network effects in digital assets using Big Data. Her findings also emphasised the importance of human capital in Initial Coin Offer development. She has also studied price exuberance, blockchain community decision making and FOMO.
She has many years of experience in working with alternative assets at asset managers and hedge funds, family offices, and distributors. She has also worked in IT across industries and financial IT including portfolio optimization tools and corporate financial investment analysis. Since 2003 she has worked with Big Data, when she started working at a comparative politics research center at the university she attended for her BA and MA studies. Already then, she was able to work remotely using SQL server setup. She holds a BA degree in Politics and International relations and a MA degree in Politics.
She has completed the following qualifications: Chartered Alternative Investment Analyst, CFA UK Investment Management Certificate, Series 3 (related to futures and options trading), Project Management Level 3 Award, and Boomi Associate Developer Certification. She speaks several Northern European languages. She lives in Finland and has Finnish nationality.
Daniel is a Professor, Academic Program Director, Master of Science in Financial Technology at the Asian Institute of Management. Daniel is a specialist in financial technology, investment benchmarks, and index construction. He was a member of the London Stock Exchange, is a Chartered Fellow of the Chartered Institute for Securities and Investment, and is a Fellow of CFA UK. He has an MPhil in Economics from Brunel University and an MSc in Investment Analysis from Stirling University.
Daniel has worked in the fund management industry for 30 years, holding various C-suite roles including Chief Executive Officer, Chief Investment Officer, and Chief Portfolio Manager at leading international firms. He has also held several non-executive directorships across asset managers, pension providers, and non-profit organisations. A British national, Daniel speaks both English and Danish.
Working with data and outsourcing
We do not accept any data work that has personal details, not least due to GDPR ruling, but mainly because this work is not likely to be in our focus. In the case of outsourcing, your data will stay with Kiitot servers and is not accessible by any third-parties. Only metadata may be worked externally. This metadata work will also be separated into tasks to keep the purpose of your project private.
Contact
Email: hello@kiitot.fi
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