As companies start to gather more and more data on their users and customers, including a firehose of information from a nigh-endless flow of tests, managing and maintaining that data isn’t the only place companies are hitting a wall — and figuring out who can actually access it is becoming just as big of a problem.
That was the experience Amandeep Khurana had throughout his career and as he kept talking to more and more larger companies. So he and his co-founder decided to start Okera, which is looking to make it easier for stewards of various sets of data to ensure the right people have the right access. With data coming in from a myriad of sources — and hopefully ending up in the same database — it can be increasingly complex to track who has access to what, and the hope is that Okera can reduce that problem to flipping a few switches.
Okera is coming out of stealth mode and said it has raised a new $12 million financing round led by Bessemer Venture Partners, with existing investors Felicis Ventures and Capital One Growth Ventures participating. Bessemer’s Ethan Kurzweil and Felicis’ Wesley Chan are joining the company’s board of directors, and Okera has raised $14.6 million to date.
“I was very underwhelmed by what other vendors were offering, there was pretty much nothing happening,” co-founder Khurana said. “There were not a lot of good solutions, and no vendor was incentivized to solve the problem. What we’d hear is, [employees] were spending so much time in data management and plumbing. We saw a trend — as more and more enterprises are moving into the cloud, so they can be agile, these problems amplified. There is a lot of friction around data management, and people spent a lot of time and resources and money making one-off solutions.”
Part of the problem stems from larger companies looking to move their operations into the cloud. Those companies can run into the problem of data coming in from various discrete locations, where everyone is handling something differently, and everyone has varying levels of access to that data. For example, an analyst might be trying to dig into some customer usage data in order to tweak a product, but they only have access to half of the records they need. To fix that, they would need to hunt down the people that are in control of the rest of the information they need and get the right copies or permissions to access it. All of this includes a robust audit trail for those handling security within the company.
it is going to be an increasingly crowded space just by virtue of the problem, especially as companies collect more and more data while they look to better train various machine learning models. There are startups like Collibra also looking to improve the data governance experience for companies, and Collibra raised an additional $58 million in January this year.
But streamlining all this, in theory, reduces the overhead of just how much time it takes for those employees to hunt down the right people, and also make sure it’s easier to access everything and get to work faster. For modern systems, it’s an all-or-nothing approach, Khurana said, and the goal is to try to make it easier for the right people to get access to the right data when they need it. That isn’t necessarily limited to analysts, as employees in sales, marketing, and other various roles might also need access to certain databases in their day-to-day jobs.
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