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Companies today generate and own a lot of data, spread throughout their entire organisation. Different teams and departments are using different systems which effectively creates data islands that are cut off from each other. However, many of these companies want to start using data science, machine learning or artificial intelligence (AI) to boost their business. This is an arduous task given the disparity of their data.
Tengu is the Platform-as-a-Service solution that overcomes these struggles. It connects to the data sources of the company, streamlines and standardises the data by designing their own data pipelines and environments. This makes it easier for data scientists to work with machine learning and AI, and for business analysts to input this data into dashboards and business intelligence tools to get real-time insights.
Unlike other PaaS providers, we believe it’s not just about the technology, it’s about the convenience of the users. We help companies to better understand their data needs: what objectives they want to achieve and what data is needed to get there. Therefore, we offer extra services like workshops, share our knowledge and build the DataOps Community, where people present their cases and questions, and help each other to find the best data solution.
This is how we help companies become data-driven, increase the efficiency of data profiles and above all, how we make data most useful.
Our talented team has a high level of expertise, and are ready to take you to the next level.
Don't spend a large amount of time and money on trying to become data-driven; let us guide you with our expertise and advice.
"Tengu delivered our first data-driven dashboard in only two weeks time. We couldn't have done this faster ourselves. Their hands-on, no-nonsense approach made it very simple for us to start with our data-driven journey."
"Thanks to Tengu's clear vision and talented team, we were able to quickly get to a high standard product. Their data expertise and onboarding service is exactly what is needed for a company to become data-driven."