Sharepoint. Tableau. Snowflake. MongoDB. Salesforce. The list goes on and on. Maybe your business uses only some of them, maybe it uses all of them, or maybe it uses a completely different set of applications. It doesn’t really matter. The problem is the same: Finding the right data when you need it just takes too long. For one Fortune 500 company, providing business analysts with the right data to do their jobs took up to three weeks. Not three weeks as a one-time thing, but for each request. And that put a limit on how many data research requests they could handle.
Business leaders know that speed and alignment are critical to executing strategic goals. But what happens when teams can’t access the information they need? When valuable insights are locked away in scattered systems, buried under endless files, or simply too difficult to find?
For the company in question, it meant slow response to changes in their markets, reduced ability to address customer concerns, and a sharply impaired ability to innovate. The more time they needed to spend managing their existing customers’ product issues, the less time they had to create new products and expand their customer base.
The irony is that in today’s data-driven world, organizations aren’t lacking information, they’re drowning in it. The problem is quickly finding what they need when they need it.
The Hidden Cost of Searching for Data
Finding information shouldn’t be hard. Yet, for most employees, searching for data feels like looking for a four-leafed clover: you’re not sure it exists but you feel certain it would solve your problems if you could find it.Critical information and insights are scattered across CRM platforms, financial systems, marketing analytics, customer support logs, emails, and internal documentation. Each system has its own interface, its own search functionality, and its own set of rules. When you can’t find something, you’re never quite sure if it doesn’t exist, if you didn’t look in the right place, or if you searched for the wrong terms.
This fragmented approach creates major challenges:
- Teams operate in silos - When each department works with different data sources, it’s difficult to align on a single source of truth.
- Decisions take too long - Employees waste time searching for reports, cross-referencing outdated files, and verifying data accuracy.
- Duplicated work runs rampant - When employees can’t easily access information, they often recreate reports, conduct redundant research, or start from scratch.
- Strategic goals stall - When it takes days or weeks to align on data-driven decisions, businesses lose their competitive edge.
Why Traditional Search Fails
In many companies, each department relies on different tools to store and retrieve information. That was certainly the case for our Fortune 500 company. Even common applications, like email, Slack, or Teams quickly became information tar pits from which nothing could escape.Teams struggled to answer simple yet critical questions:
- Are we all working from the same numbers?
- Who has the most recent version of this data?
- How does this information connect to other business metrics?
As the company discovered, traditional search isn’t built for cross-functional collaboration. It forces employees to search system by system, document by document, making it difficult - if not impossible - to get a complete picture of what’s happening across the organization.
One Search Interface, Not Many
Imagine a world where search works the way it should - where employees can instantly find the information they need, no matter where it’s stored.That’s what SWIRL AI Search delivers.
A Single Search Interface for All Data
SWIRL connects to 100+ applications and data sources - including databases, cloud storage, internal documentation, email, messaging platforms - and searches them all simultaneously. Instead of having to remember as many search interfaces as there are sources and applications, employees search once and find everything.AI-Powered Search That Understands Context
Unlike traditional keyword search, SWIRL understands natural language queries and provides AI-driven summaries, relevant follow-up questions, and ranked results - so teams don’t just find data, they find answers.Cross-Team Visibility Without Data Duplication
SWIRL allows employees to search across departments without moving or copying data, ensuring that everyone can access the same insights while maintaining security and role-based permissions.Collaboration Without Silos
By breaking down data barriers, SWIRL ensures that everyone - executives, managers, and frontline employees - can make decisions based on the same trusted information.Faster Execution, Better Decisions, Stronger Collaboration
Business success depends on the ability to find, share, and act on insights - without friction or delays. SWIRL makes this possible by providing a single search interface that works across the entire organization.That Fortune 500 company? Using SWIRL enables them to access data in place, with no data migration or uploading required. SWIRL’s powerful AI search capabilities reduce the time spent searching for data by over 80% and increase analyst productivity by over 20%. And because SWIRL connects directly to over 100+ data sources, they didn’t need to expend millions of dollars on upfront migration costs just to see if SWIRL might work. They could test and verify before committing.
So What? What’s In It For Me?
I get it. Reading about some perfect scenario isn’t really all that convincing. Sure, there exists a Fortune 500 company that got big savings out of SWIRL. But that doesn’t mean you will get big savings. They might need 3 weeks to respond to large scale data requests but doesn’t mean everyone will need that much time. Without that big payoff, is it really worth the time and effort to install and learn new technology? Maybe doing nothing is the less expensive solution.That question came up at another company. At that company, the time spent searching for information only came to 1.5-2 hours per day, or about 9 hours per week per person. For them, the cost of business as usual was 11.5 weeks of lost time and productivity for each employee each year. SWIRL gave each person back 10 of those weeks.
Spending even an hour per week (per person) on search, adds up to over 50 hours a year. That’s more than one week just on search for each employee who needs to look up information to do their job. What’s it worth to get back a chunk of that time?
Don’t let data silos hold your business back. Find out how SWIRL AI Search can help your teams work smarter, move faster, and make better decisions. Contact us today for a demo and see how SWIRL can save you from your data silos.