Google just bid $10 million for the kind of information most businesses leave scattered across inboxes, chat threads, spreadsheets and disconnected applications.
After Spirit Airlines ceased operations, Google won a bankruptcy auction for approximately 100 million emails, 500 million Microsoft Teams messages, calendars, documents, spreadsheets, workflows and 30 million lines of code. Google says the data could help improve its products and AI models.
The proposed sale is not final. A bankruptcy-court hearing originally scheduled for August 19 has been postponed until September 9 after the Association of Flight Attendants-CWA objected. Customer and credit-card information are not included, and the corporate data must be deidentified.
The airline is gone. The record of how it operated may still be worth millions.
That appears to confirm something business owners hear constantly: Your data is one of your company’s most valuable assets.
But possessing data and having a valuable business asset are not the same thing.
Google can afford to extract patterns from an enormous archive. The typical buyer evaluating a small or midsize business does not want to excavate years of conflicting spreadsheets, undocumented processes and fragmented customer records. That buyer wants information that is organized, connected, trustworthy and usable.
If it is not, the disorder is already reducing revenue—and may eventually reduce the value of the company itself.
A patchwork of applications creates several versions of the business
Most growing businesses do not deliberately create a fragmented operating environment. It happens one reasonable decision at a time.
Marketing adopts one platform. Sales selects another. Customer service adds a ticketing system. Projects are managed somewhere else. Finance maintains its own spreadsheets. Employees fill the gaps with email, chat and personal notes.
Each application may perform its individual job. Collectively, however, they create several versions of the business—and no reliable view of the whole.
One system contains the customer’s current contact information. Another contains the latest sales conversation. A spreadsheet tracks delivery. An inbox holds the unresolved problem. Management’s dashboard reflects data exported several weeks ago.
The company possesses plenty of data. It does not possess one dependable operating record.
That difference matters.
Fragmented data does not merely create inconvenience. It loses revenue.
Disconnected systems create operational gaps where revenue is routinely lost.
Leads and opportunities receive inconsistent follow-up
When marketing activity, sales conversations and next steps are stored in different places, follow-up depends on employees remembering to transfer information or check multiple applications. Opportunities do not always fail because a prospect said no. Some simply disappear between systems.
Teams make decisions using different information
Marketing, sales, delivery and customer success may each have a reasonable explanation of what is happening. The explanations differ because each team sees only part of the customer record.
Meetings are then spent reconciling reports instead of making decisions.
Employees repeat work
Information is re-entered, copied, exported and reformatted. Employees search through email and chat to reconstruct context that should already be attached to the customer or process.
The company pays skilled people to act as human integrations between software products.
Customer problems remain isolated
A support issue may signal renewal risk, an upsell opportunity or a flaw affecting several accounts. If that information remains inside the support application, the people responsible for the commercial relationship may never see it.
Automation breaks at application boundaries
Automating one task inside one system does not create an automated end-to-end process. Work can still stall when responsibility passes from one team, database or application to another.
The result is a business that appears automated from a distance but still relies on manual intervention at every important handoff.
Why business data affects exit valuation
A prospective buyer is not purchasing the owner’s personal understanding of the company. The buyer is purchasing a business that must continue operating after the owner leaves.
That buyer needs evidence:
- Where revenue originates
- How reliably opportunities convert
- Which customers and services are profitable
- Whether customer retention can be measured
- How work moves from sale through delivery and support
- Whether key processes are repeatable
- How dependent the company is on particular employees
- Whether the company’s reports can be trusted
When those answers are spread across applications and spreadsheets—or exist only in the owner’s head—the buyer sees uncertainty and risk.
That can affect the valuation, deal terms, due-diligence process and likelihood that the transaction closes at all.
“We’ll clean it up before we sell” is not a plan
Many owners assume they can organize the business when they become serious about selling it.
By then, some of the most important evidence may not exist.
The company cannot retroactively create years of consistent pipeline history, customer-retention data, process records or decision context. Conflicting definitions and incomplete records must be reconciled. Undocumented processes must be identified. Dependencies on the owner and long-serving employees must be reduced.
This is why exit preparation frequently begins years before a planned sale.
But treating it only as an exit project misses the larger point.
Every problem that makes a business difficult to sell also makes it more difficult to operate.
The owner is already paying for unclear processes, inconsistent data, duplicated work, missed handoffs and unreliable reporting. A lower valuation is not the first cost of operational disorder. It is the final one.
What makes business data valuable?
Useful business data has several characteristics.
It is connected
The company can follow the complete relationship from first contact through sales, delivery, support, renewal and expansion without reconstructing it from multiple systems.
It is current
Employees update information through the normal course of doing their work. Reports do not depend on periodic exports or heroic cleanup efforts.
It is trustworthy
Teams use shared definitions, consistent processes and the same underlying records. People do not begin every meeting by debating whose report is correct.
It is operational
The data does not merely describe what happened. It helps determine what should happen next, who is responsible and where intervention is needed.
It is durable
The company’s institutional knowledge remains available when an employee leaves, a vendor changes or the owner steps away.
Build an exit-ready business before you need an exit
Exit readiness is not paperwork applied to a company shortly before a sale.
It is the result of operating a business with connected information, visible processes, clear responsibility and reliable reporting.
Those capabilities improve company value later because they improve company performance now.
They help the business respond to leads consistently, identify revenue leakage, retain customers, reduce duplicated work and make better decisions. They also make growth less dependent on adding more people to manage increasing operational complexity.
Google may be able to extract value from hundreds of millions of disconnected corporate records. The typical business buyer has neither the budget nor the desire to perform that excavation.
Your data should not require digital archaeology before it becomes useful.
If someone examined your business tomorrow, would they find a coherent operating asset they could understand, manage and trust?
Or would they find a collection of applications—and a very expensive scavenger hunt?
If you’d like to have a quick conversation about how Venntive and I can help you get your isht together, snag a time on my calendar.