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Find out more about Data Observability and Kensu by reading our whitepapers

A guide to Understanding
Data Observability

Download this whitepaper to get a better understanding of Data Observability and how to monitor the quality of your data usage in real-time.

Data issues can have a huge impact on your business, that's why it's important to prevent them instead of fixing them when they arise. With Data Observability, you can identify data problems, create your own quality rules, fix issues, and monitor continuously. 
In this whitepaper, you will also find out more about typologies of information that you must observe in your data system, and business outcomes of Data Observability.
Guide to understanding DO

Data Trends in Banking and Financial Services and how Data Observability supports them

Discover what are the top 6 Data Trends in Banking and Financial Services, and how Data Observability can help support them with automated tasks such as controlling and alerting on data issues, and identifying redundant data.

In a world where more complex analytics requirements arise, we are seeing the proliferation of data pipelines and requests for access to specific data sets. The data engineering teams are struggling to keep up. The last thing they need to be doing is spending more time than necessary troubleshooting broken pipelines and finding data quality issues.

With this whitepaper, written in collaboration with Agile Lab, you'll get a better understanding of practical ways Data Observability can be a great asset for data professionals in the banking industry, with real-life examples such as how the Kensu Platform is helping UniCredit's data teams.

Cover Whitepaper data trends banking