[New Guide] The Big Book of Data Observability
More data means more insight into your business. But more data also introduces a heightened risk of bad data breaking your otherwise good pipelines and eroding trust with your stakeholders.
And the consequences of data downtime can be dire, including wasted time, ill-informed decision-making, missed revenue, and loss of customer trust. Research suggests that companies spend up to 40 percent of their time tackling data downtime, and 1 in 5 companies have lost customers due to data quality issues.
Fortunately, there’s a better way forward. over the last few years, a new framework has emerged to address it: data observability.
In this eBook, we’ll discuss:
- The challenges that poor data quality presents
- What data observability is and how it can help your data team
- Best practices for improving data reliability
- Data observability vendor requirements
- And much more
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