A curated and clean data environment is key to succeeding with any data strategy. However, companies are ingesting and processing mostly low-value data into their data warehouses. Data that is not used, is not driving value. On the contrary, it drives cost, compliance and governance problems. It creates confusion and lack of trust. It is an insurmountable obstacle to leveraging AI strategically.
How can data teams and leaders get on top of this, in times of team, budget and tooling cuts? If you feel that you're currently stuck in a data swamp, I highly recommend checking out this talk. It will cover a range of topics from culture and the soft side of things, to diving into metadata management and data product thinking. It will also be sprinkled with some real-world examples.
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