Why Your Data Set Is Feeling Like a Meme‑Level Mystery
SnapLogic just dropped a study that left most businesses shaking their heads, noting that 83 % of companies are not happy with their data‑management hustle. IT heads feel the pain when every corner of their tech stack gets a flurry of disconnected apps, tired legacy systems, and the endless summer‑snow‑flake wait times for data to move from one place to another.
The Pain‑Point Playbook
- 115 different apps? That’s the number we’ve all seen on a typical enterprise dashboard, but half of them (49 %) live in their own little islands.
- Most CEOs and CTOs (89 %) are worried that these siloed data castles are putting a concrete block in the way of progress.
- On average, an IT decision maker is losing a cool $1 million+ a year because their data is stuck in the past.
But There’s Still Hope
Okay, folks get it: spending money is a serious business. Yet most companies are actively investing to turn their enterprise into a data‑driven powerhouse.
- Three‑quarters (76 %) are raising their data budgets over the last year alone.
- In other words, the future is all about connectivity, speed, and real‑time insights.
So, if your organization thinks it’s still stuck in a data‑fog era, this study is the perfect wake‑up call. Because when you finally get all those apps talking, you’ll unlock the sort of agility that’s worth every dollar you’re willing to invest. Cheers to a data‑revolution that actually works!
Delivering on the promise
Taming the Data Jungle: Why IT Decision Makers are Feeling the Heat
Why Every IT Boss Is Stuck With a Data Tsunami
In the world of endless spreadsheets and cloud services, IT Decision Makers (ITDMs) are chomping at the bit to turn raw data into gold. They’re after faster decisions, leaner operations, and customer delight—all riding on the promise of agile analytics and clean insights. But getting the data into warehouses or lakes is like trying to thread a needle in a hurricane.
Numbers that Make Heads Spin
- 88% of ITDMs hit a wall when loading data into warehouses.
- Missing, duplicated, or funky‑formatted data forces an average of 4+ hours of cleanup per employee, per week.
- 42% of data‑management steps are still a hands‑on dance that could be automated.
- 93% of respondents confessed they need a major overhaul to collect, store, and analyze data.
What’s Stalling the Data Engine?
- Legacy tech still running like the old Windows 95 of the data world (49%).
- Complex data types and formats that look like a puzzle missing half the pieces (44%).
- Data silos stuck like Wi‑Fi dead zones in every room (40%).
- Regulatory hoops forcing a data‑passport check that takes forever (40%).
The 48% That Need a Facelift
Almost half of the data that lands in warehouses still wears a “need‑cleaning” tag. Whether it’s a missing field or a column of junk, IT folks often find themselves redesigning data like a tailor re‑sewing a jacket. It’s time-consuming, and let’s be honest, it can feel like fixing a leaky faucet in the middle of a storm—pointless until you know the source.
Automate or Burn the Light
With 42% of data processes still manual, IT teams have a real opportunity to automate. A little automation can save precious time, cut costs, and prevent that dreaded “handle this one more time” mindset.
Craig Stewart Says
“We’re living in a time of lightning‑fast data growth, and data is the key that unlocks AI, automation, and advanced analytics. A robust data strategy isn’t optional—it’s essential.”
He adds, “To master data warehousing, you must crush silos, retire the old tech, automate repetitive tasks, and move data faster than a coffee‑lover on a deadline. Only then can teams exploit the full power of data to lead better decisions and outcomes.”
Fast Track Fixes for Your IT Team
- Quickly map and retire legacy tools that still drag data stages behind.
- Automate routine clean‑ups—think robotic data inspectors.
- Break data silos, creating a single, open source of truth.
- Make data movement as seamless as a Netflix binge‑session.
In short, if you want your IT team to stop navigating data minefields and start turning data into action, it’s time to overhaul how you load, clean, and store your assets. Once those steps are streamlined, ITDMs can finally enjoy true agility and actionable insights.
