Does Your Business Have a Data Hygiene Problem?

Signs that your company might have a data hygiene problem.

If you hear these conversations/ sentences around the office, you know that tight data-governance has been slipping:

“How up to date is this customer data list?”

“Every time a prospect becomes a customer, it means we have to  re-enter the data?”

"Is this customer on stop or not?" 

"Where's the history of status changes?"

"Why didn't the system stop us putting this customer on Credit Hold? They have open orders!" 

"How much government business did we do last quarter?”

"How do I know if that account is a company or a government department?" 

"We gave this customer our Winter Promo pricing but forgot to remove them in March."

“This ship-complete order was partially shipped by mistake.”

“This prospect is mixed in with paying customers!”

“Who in admin may permanently delete a customer?”

“Do we have a record of where leads come from?”

“This is frustrating—lost leads disappeared without a trace!”

“I can’t easily see this customer's order history. ”

“The system does not show what's been shipped and what's still outstanding.”

“Who agreed to this pricing? Why wasn’t I told?”

“Where can I find a professional document to download directly to the customer?”

“The customer accepted the quote, do I now have to re-key everything into an order?”

“What does 10 mean here? Is it 10 individual items or 10 pallets? And how should I calculate that conversion?”

"Again: whére is the history of status changes??"

You might have an issue here where a database is compromised by incomplete, outdated, duplicated, or incorrect information, therefore an ongoing maintenance challenge, making data difficult to analyse or trust for daily operations and decision-making. 

Data is the lifeblood of organisations—the foundation of modern business. It transforms guesswork into strategy; optimises operations, increases profitability; acts as the primary driver for understanding customers and outpacing competitors. Managing data effectively is critical.

Data: the lifeblood of the organisation. 

Data is energy. And as such it needs respect. It cannot sit in a pile in a dusty corner, or locked away in drawers, or lives in someone’s mind and memory.

Raw data is valuable information. It is also stored energy. Energy that was expended to collect in physical form as well as in monetary form as a strategic asset. Just as physical energy powers operations, data is the vital driving force behind businesses. 

However: while energy is consumed, data is generative when leveraged correctly—it actually multiplies, creating more data, greater efficiency, and new revenue streams.

Historically, businesses used data simply to record what happened (accounting). In modern businesses data is used to predict the future and automate the present.

Therefore, a business is essentially an engine that transforms data into value, especially from an operational and decision-making point of view. Data does not have a set market price like gold or oil; its value is subjective and contextual and lies in what it can do.  It is quantified by the tangible cash flow it drives, through increasing revenue, reducing costs, or protecting market share, alongside its strategic or market demand value.

Take a different look at your data. 

Stop using data in your company as a sideline or as of little importance. Digital files, customer databases, patents, and software code often hold more financial value than physical buildings.

Your data is: 

• information, 
• money, 
• potential, 
• an alternative revenue stream, 
• a saver of revenue, 
• it is renewable and infinite. 

Unlike physical commodities that deplete with use, data is a reusable asset; even if analysed multiple times for different purposes, it continuously generates more value as the volume increases. 

Some data has value beyond your immediate needs. You can:

• Enrich existing data;
• Make it valuable for investors in your business as well as for partners or suppliers;
• Augmented data can turn into new revenue streams,
• Or act as add-ons to existing products, or services, or new ventures. 
• Proprietary data can even be licensed in a subscription model. 

Categories of data in your business:

• Customer data: A company's understanding of its market exists as purchase histories, behavioral tracking, and communication logs.
• Service data: showing how to personalise customer experiences.
• Product data: can help you figure out what your next product will be.
• Management data: for  better decision making, driving your whole business strategy.
• Productivity data: highlights workflow bottlenecks, allowing you to streamline processes, reduce waste, and cut unnecessary costs. 
• Manufacturing data: shows where to expand operations, instead of going by hunch alone.
• Inventory data: helps increase margins. Tracking inventory turnover may reveal that some product lines haven’t had a sale in months, while others are often out of stock. The data could help you refocus efforts on higher-margin items, optimise restocking rates and reduce inventory costs.
• Purchasing data: what was bought, who bought it, when, where, and how much it cost. 
• Systems data: Workflows, supply chains, and payroll are simply instructions and algorithms processing information.
• Time data: provides the empirical metrics necessary to optimise operational efficiency, ensure accurate payroll, control labor costs,  drive strategic forecasting.
• Financial data: Stock valuation and creditworthiness are determined by numbers on a balance sheet, not physical cash.
• Marketing data: hard metrics maximise ROI and maintain a sharp competitive edge.
• Employee data: optimise your workforce management, enhance productivity, and align talent strategies with broader business goals.
• Sales data: keep track of orders across the organisation. Achieve peace of mind through real-time order progress reports.

Worth remembering:

If you delete a modern company's physical office, it can usually keep running remotely. If you delete its data, the business instantly ceases to exist. 

Conclusion:

Once one realises that your business is almost entirely made up of data and that everything is driven and tracked by data, you put a premium on the business value of your company’s data and treat it with the respect expended energy deserves. And it shows.