What do organizations get wrong when it comes to data lifecycle management?

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Chief Information Officer in Software, 1,001 - 5,000 employees
The way we’ve produced consolidated reporting is all the data gets dumped into Snowflake, and then you try to find connections. It's less of a data warehouse and more of a dumping ground. Maybe we could try to create consolidated reporting and then try to figure out the data integrity issues.

That's one area that I think we are hoping to modernize at ZoomInfo. In a way it's just an evolution that’s part of any startup story, they're growing too fast. It's a great opportunity to bring in that rigor so that we can scale to the growth, streamline and hopefully optimize all of the operations, systems, and technology. We need to have data lifecycle management, otherwise we'll just keep collecting it all.
Senior Executive Advisor in Software, 10,001+ employees
A lot of organizations think that data is valuable, so they just store it and become data hoarders rather than actually doing anything with it. I feel that many companies just store data for the sake of storing, and they need to understand there's an expiration date on it.

After a certain amount of time, data is useless. If you don't get the insights and you're not doing something actionable with the data, what is the point of you hoarding it, other than just racking up bills and probably paying someone a large amount of money just for storing it?
2 2 Replies
CIO / Managing Partner in Manufacturing, 2 - 10 employees

There are legal implications to data hoarding as well. If you store all the data that you've ever generated and you get a request to search anything related to a court case, the cost to you of trying to search through everything could be horrendous.

Senior Executive Advisor in Software, 10,001+ employees

Especially with things like GDPR and all the other regulations coming up. The cost of maintaining data is high and people don't actually question whether they need the data or not.

Director of IT in Software, 201 - 500 employees
Not setting up data retention or data expiration date upon which the data is deleted. Keeping data forever is expensive and not needed

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CTO in Software, 201 - 500 employees
Without a doubt - Technical Debt! It's a ball and chain that creates an ever increasing drag on any organization, stifles innovation, and prevents transformation.
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