Running a business in Morrow County means managing everything from seasonal demand shifts to workforce availability — often without the analytical teams that large corporations rely on. Data analytics gives smaller businesses a way to make those same informed decisions, faster and with less guesswork. Companies that base decision-making on data rather than past experience have seen productivity gains up to 63%, enabling them to work more efficiently and reduce costs. For Boardman businesses — whether in agriculture, logistics, retail, or services — that kind of edge is within reach.
Experience matters, and local knowledge is irreplaceable. But the volume of decisions a small business makes each week — pricing, staffing, inventory, marketing spend — outpaces what intuition alone can handle reliably. Data analytics is the practice of collecting, organizing, and interpreting business data to support faster, more accurate decisions.
An MIT Sloan School of Management study found that companies using primarily data-driven strategies saw higher productivity and profit margins — specifically 4% more productive and 6% more profitable than competitors — yet only 32.4% of organizations report successfully building a data-driven culture. The gap between knowing data matters and actually using it is where most businesses lose ground.
One of the highest-impact applications is understanding your customers. Which ones come back? What brought them in the first place? What does your best customer actually look like?
According to McKinsey's DataMatics survey, intensive users of customer analytics are 23x more likely to outperform competitors in new-customer acquisition and 9 times more likely to lead in customer loyalty. Even basic tools — a simple CRM, point-of-sale reports, email open rates — give you a foundation for identifying patterns in customer behavior before they walk out the door for good.
Most small businesses spend some portion of their budget on marketing — social media, print, email, event sponsorships — without a clear way to measure what's producing results. Marketing analytics closes that loop by tracking which campaigns drive traffic, leads, and actual sales.
Many small business owners recognize the importance of data analysis, yet fewer actually put it into practice—creating a gap where those who use analytics tools often gain a clear sales advantage, especially in smaller markets where every marketing dollar matters.
Most business owners think of analytics as a customer-facing tool, but some of the clearest gains come from the back end: inventory management, scheduling, vendor performance, and cost tracking.
When you track what sells, when it sells, and what it costs to deliver, you can start trimming inefficiencies that quietly drain margin. For Boardman businesses tied to agriculture, warehousing, or regional supply chains, tracking seasonal demand cycles with real data is far more precise than relying on last year's memory. On the risk side, tracking operational patterns — returns, supplier delays, cash flow timing — creates an early warning system for problems before they become crises.
Your business website is often the first touchpoint a customer has with you — and it generates data with every visit. Page views, click paths, bounce rates, and form submissions all tell a story about what's working and what isn't. Treating your site as a data instrument, not just a brochure, is a low-cost way to start measuring what drives conversions.
If you're working with a designer on a site update, you'll likely need to share visual assets like brochures, flyers, or photos. Consider using an online converter that handles document-to-image formatting. When communicating design ideas, you may want to use methods to convert a PDF to JPG file to easily share or print web images while maintaining their quality.
Analytics adoption isn't automatic, and the barriers are real. According to William & Mary's Raymond A. Mason School of Business, small businesses most commonly cite skills gaps and budget limits as the top obstacles to adopting analytics — along with data overload once they start collecting.
A few practical starting points:
Start with one decision. Pick a single question — which marketing channel converts best, when to reorder inventory — and find one metric to answer it.
Use what you already have. Point-of-sale systems, email platforms, and website hosts all collect data by default. Learn to read those reports before adding new tools.
Build the habit before building the stack. A global survey of analytics leaders found that 61% cited company culture — not technology or people — as the biggest barrier to becoming data-driven. Committing to review data weekly matters more than which software you pick.
Bottom line: The skills gap is real, but most small businesses already have more usable data than they realize — it's sitting in tools they already pay for.
The Boardman Chamber of Commerce offers Business Education Training sessions and monthly luncheons where members share what's working — including technology and operational strategies. If you're not sure where to start with analytics, connecting with Chamber members who've already navigated the learning curve is often faster than going it alone.
The data is already there. The question is whether you're reading it.