What happened to our data?Īt this point, unreliable data is an expected inconvenience. And too many data engineers know the pain of that panicked phone call - the numbers in my dashboard are all wrong. With every additional layer of complexity, opportunities for data downtime - moments when data is partial, erroneous, missing, or otherwise inaccurate - multiply.įorrester estimates that data teams spend upwards of 40% of their time on data quality issues instead of working on revenue-generating activities for the business. We’ve found this is often due to a complete, and not unwarranted, lack of trust in the data itself.Īs companies gather seemingly endless streams of data from a growing number of sources, they begin to amass an ecosystem of data storage, pipelines, and would-be end users. Well-meaning companies are collecting and storing data, but don’t allow it to actually drive their operations. Well, beyond an awful lot of unused data. Behind this desirable label, you’ll usually find an admirable goal-and not much else. In 2021, most businesses’ websites, pitch decks, and job descriptions lay claim to their identities as data-driven companies. Lior holds an MBA from Stanford and an MSC in Computer Science from Tel-Aviv University. At Barracuda, Lior was SVP of Engineering, launching award-winning ML products for fraud prevention. Prior to Monte Carlo, Lior co-founded cybersecurity startup Sookasa, which was acquired by Barracuda in 2016. Lior Gavish is CTO and co-founder of Monte Carlo, a data observability company backed by Accel and other top Silicon Valley investors.
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