You’ve hired data scientists and analysts. You’ve even got “AI whisperers” in Slack channels. But here’s the kicker: without someone making sure your data isn’t a dumpster fire, all those dashboards, OKRs, and AI pilots are built on nonsense.
“Did we just see a 42% jump in leads… or was that a duplicate-import glitch?”
The Problem: Garbage In, Garbage Everything
Here’s where dirty data usually lurks:
• Multiple versions of the same spreadsheet – each tweaked for a different report and creating version chaos
• Crucial fields misaligned – one team’s “revenue” includes discounts, another’s excludes them
• Data fields with the same name but different meanings – “Date” as Order Date vs. Invoice Date vs. Fulfilment Date
• Data scattered across the organisation – no one knows where the “single source of truth” actually lives
The end result? Teams distrust “the numbers,” so they keep doing things by gut. And that costs money – according to IBM, poor-quality data costs over US$ 3.1 trillion (!) a year in the US alone.
Why It Matters for OKRs, AI, and your business
OKR Clarity – Your key results hinge on metrics. Flaky data can result in moving baselines and broken commitments.
AI Readiness – Machine learning on sloppy data is like baking with mouldy flour: it might look okay, but the taste will be off (and probably not healthy).
Data-Driven Culture – Trust is the coin of the realm. If you can’t trust the data, you won’t trust the results.
That’s where a data janitor earns their keep – scrubbing errors, building trust, and giving your team the confidence to act.
And the ROI Is Real
Reduced time and cost: With clean data, your team spends less time untangling errors and more time analysing.
Faster, smarter decisions: Data-powered teams can respond to market shifts in days, not weeks.
Stronger AI projects: Reliable inputs boost machine learning success and model performance.
Tangible ROI: 78% of organisations see an ROI within 12 months of implementing data quality improvements
Forrester reports that a mere 10% increase in data accessibility can yield $65 million additional net income for a Fortune 1000 company.
Ready to turn that dumpster fire into a well-oiled data machine?
At Oak Mountain, we work with leadership teams to map out the State of the Data – pinpointing what lives where, in what format, and what it really means. Then we co-design a clean-up plan that fits your business, helping your team master data hygiene and make clean, real-time data the backbone of better OKRs, sharper dashboards, and smarter AI.
Drop us a line at enquiries@oakmountain.ltd to kick off your data-cleaning journey.
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