Hear from the clients about their experience with us on previous projects
"Cognitas has helped us fix the mess another consultancy had made.
They both deeply understand business and data which was extremely helpful to talk through the issues and concerns we had. We achieved to align our business strategy to a practical data and AI strategy that we could directly begin to execute with our teams."
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Hear from the clients about their experience with us on previous projects
“Every day, people would message us why numbers in Dashboard A don’t match Dashboard B or the slides.
Thanks to Cognitas, the data is consistent, and the reporting is so much more automated. t’s close to magic. I gained back ten hours per week, and the output is higher.”
Hear from the clients about their experience with us on previous projects
“We knew we had to do something with technology and AI, but were unsure how to start. We do not have the resources of a Magic Circle firm.
Cognitas helped us both set up a 2-year AI strategy that is pragmatic and exciting enough to get support from the board, as well as help provide tactical training for our lawyers on AI to make them more effective.”
We run data and finance reporting teams in cutting-edge tech companies. We truly know big data (and big organizations).
Our experts have worked in business jobs before becoming data experts. They can speak without AI buzzwords and discuss only the things that are relevant and valuable to you.
When you work with us, you’ll get the Whatsapp of a Cognitas co-founder. No faceless org with no accountability, but a personal guarantee we will deliver.
Max is a Product Analytics Manager at a top tech company responsible for all sales planning globally used by all sales (>15k users).
Before this, he led the transformation of the strategy & operations departments into a data-driven organisation. > 19k users currently use the business intelligence infrastructure he designed and developed.
Ties is Head of Data at one of the biggest European Venture Capital firms. Before this, he taught Data Science and was Analytics Manager at a top tech company.
He worked on projects from Air Quality monitoring to Revenue Reporting and Process Automation for products with >$10b in annual revenue.
Use cases from our previous customers can help to identify the right solution for you
AI is evolving at a rapid pace, and the number of use cases that can be resolved with AI is increasing with each innovation.
In our previous projects, we helped senior leaders understand their current business goals and strategy, with the goal of creating an actionable plan on where and how AI can support their teams in achieving those goals more efficiently.
Based on the established plan, Cognitas works directly with different teams to make decisions on the resources to use and set up the right projects to develop the first POCs to realize the actual plan.
Often, projects get stuck between the high-level plan of senior leaders and the actual execution, which is why we offer to be involved in both.
Working in Excel and Google Sheets is an intuitive way to analyse your data, but there are limits to the scalability of both applications. Many teams arrive at a point where the quantity of data becomes too much causing formula's to break or even files to crash. Does this resonate with you as well?
Cognitas has helped several teams set up more automated data infrastructures that allow for instant data refreshes, automate data cleaning, and managing big data.
Yes, this includes some technical skills, but we will teach you those along the way.
We teach SQL within 10 hours to any professional whilst the automation you gain can save you 10 hours of manual work each week!
From our work with previous companies, we learned two things:
(1) the focus on data and AI for companies will only continue to increase, and (2) every employee should have some level of understanding of how to interpret data and work with AI to truly gain business value from it.
The level of knowledge required about data and AI is different for each job. For example, a salesperson needs to understand how to effectively use AI to conduct account research, whereas an analyst actually needs to write SQL to automate their analysis.
Because of that, we partner with companies to design customised learning paths for each job type, with the goal of lifting the overall expertise in data and AI in your company.
Reach out to one of our experts to understand your challenges
