Our focus is solving problems and getting data-driven answers for your business needs. Whether identifying performance issues in your data ingestion pipeline or building a new proof of concept for tagging trends in your competitive space or performing a data risk assessment to understand privacy and security issues in your current practices, we can help.
You may have already identified the exact challenge and you need help implementing the solution. Or you may have a variety of business goals where you think data can help. We begin research by focusing on your needs and vision. Once we establish the needs and potential solutions we can help implement or advise, we create a design document and proposal for your review.
If you have a data science, technical team or data privacy officer which will be involved in implementation, we will work closely with them on the design and planning.
Once our proposal is amended with any needs or concerns, we can begin the project and research. You will be included and updated at each stage; with full review and clarification on the progress.
If the project is a proof of concept or internal tool, the prototype launch or final report will center around your team with a full presentation on the capabilities and results. If it is a report or assessment, you will have time to review and ask questions before the final report is finished.
Want to find out how we can help? Reach out via email or our contact form.
A data processing impact assessment is a required document for companies working with sensitive data under the European General Data Protection Regulation (GDPR). We have provided this assessment for several companies and are happy to help you assess the privacy needs of your data processing. The process entails:
Usually, the entire reporting process takes about a month and costs 2.500 EUR. If you would like to engage with Kjamistan on developing your data processing impact assessment, please reach out via email or our contact form.
We worked with Katharine on an early data-pipeline prototype using both existing and custom natural language processing models to parse French and English texts. Katharine was of tremendous help getting the thing up and running, having a deep understanding of the state of the art and how to improve it. We went from 0 to running prototype in a few months, and we would never been able to achieve it without her skills and knowledge.