The analyst can instantly start with data analysis and gain insights that generate added value for the business.
TENGU takes care of the repetitive and less productive operational tasks with automatisation & self-service.
Data consumers spend 80 % of their time finding and filtering data, while their true expertise is in creating business insights.
As data and its quick availability are rapidly becoming more important for businesses, valuable data often gets spread across team-specific systems and processes. As a result, they lose efficiency. Besides this, you want to implement data science, business intelligence and data governance. Yet to benefit from these, you need best practices - such as the DataOps discipline - to prevent silos and data inconsistency.
Whether you're part of a data, analytics or business team, TENGU gives you a unified toolset that connects systems, enables self-service and automates data operations under one central DataOps Orchestration platform. Using Tengu, you need fewer meetings and data requests to collect data and start right away to analyse and make business decisions.
The result? An efficient, aligned and agile team that grows your business revenue and reduces your operational costs.
Deploy, manage, and run pipelines.
No technical knowledge required.
Integrate resources in a few clicks.
Understand data environments with an auto-generated graph.
Use TENGU in the cloud or on-premise.
Monitor and track all activity and events on environmental level.
Unlike other DataOps Orchestration Platform providers, we:
This is how we enable the business to solve their data challenges and set up the right data & analytics workflows according to the DataOps discipline. And above all, how we make data most useful.
"The workshop already gave us great insights to further develop our platform."
"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."