How Often Should Database Issues Impact Data Availability?

In our experience, a typical organization has database issues that impact data availability about 5-10% of the time, but it’s possible to reduce this even further through improving the business intelligence / ETL processes that update your database. This downtime can, at its worst, cause stakeholders who don’t know that the data is inaccurate to make bad decisions based on bad data. It can also make your teams less efficient and less able to make timely, data-driven decisions. If it happens often enough, it may even impact stakeholders’ trust in the data, making them less likely to make data-driven decisions even when the data is correct. Sometimes attention-to-detail processes need to be put into place to reduce the risk of this happening. In addition, Value Driven Analytics can put in place an automated validation check process that will proactively alert your team when unexpected data scenarios occur. This allows your team to alert stakeholders and identify the root cause quicker, lowering the risk of making bad decisions on bad data.