Where Data
Finds Direction

Project: Paws & Profits — Dog Grooming Salon Performance DashboardThe Business Problem:
A dog grooming salon needed visibility into what was driving revenue, which staff were performing, and how well they were retaining customers — but that data was scattered across five separate tables with no unified view.Questions I Set Out to Answer:
-Which services generate the most revenue?
-Which groomers are busiest — and which are most profitable?
-What does the appointment completion rate look like?
-How loyal is the customer base?What the Data Revealed:
-Full Groom services account for the largest share of revenue by a significant margin.
-Groomer workload and revenue track closely, but notable gaps exist between some groomers — suggesting differences in service mix.
-79.5% of appointments are completed, with 11% cancellations and 9.5% no-shows.
-100% of customers are repeat visitors, indicating strong retention.Recommendations:
Full grooms bring in the most money, but baths are also a goodish bit. You could run a promo deal on baths to bring in more revenue from that service. As well as also offering one, maybe the next month, on puppy intro grooms, to get more people in the door that will continue to be repeat customers as their dog gets older.You'll notice, that while Amanda and Lisa have roughly the same amount of completed jobs, Amanda is bringing in significantly less money. Maybe Amanda is the nail trimming guru, so she has completed jobs, but they're not high revenue drivers like full grooms. While each groomer may bring their own special talents to the business, and maybe only has certain availability, it could also be something more. Is it something worth looking into?Customer Retention is good. Starting a loyalty program or possibly even a membership, where people pay monthly and get so many services per month for that fee could reward the loyal ones and stop the cancellations or no shows from costing you as much.There's a sharp dip in May, what happened there? Things went back up in June, but have been on a steady decline since. Have we changed something? Any clue what might've caused it?

Project: Sales Performance Analysis — Retail Chain DashboardThe Business Problem:
A multi-location retail chain needed clarity on where sales were coming from, which customer segments were driving revenue, and how departments and regions compared — without a unified view across their data.Questions I Set Out to Answer:
-Which store locations generate the highest sales volume?
-Which age groups and genders spend the most?
-Which departments are driving the most revenue?
-What is the average order value across the business?What the Data Revealed:
-Sales are relatively consistent across all five MegaMart locations, with the top store outperforming the lowest by less than 200 units.
-Male customers account for 56.4% of total sales, but the gap isn't dramatic.
-Electronics dominate department sales at 46%, nearly equal to Fashion and Groceries combined.
-Older age groups outspend younger customers across both genders.Recommendations:
Older shoppers are your top spending group by a clear margin, that's the strongest signal on this dashboard. Within that group, men are surprisingly leading the way, bringing in a bit more total revenue than women (56.4% vs. 43.6%). So rather than a campaign built around "older men," I'd lean into "older shoppers" as the headline, with messaging that speaks to what's driving the women's share specifically, like loyalty perks, styling content, or early access to new arrivals.Fashion is your strongest category. Grocery is a high-frequency, lower-margin category almost everywhere, which is exactly why grocery stores lean on constant promos and deals: it's built to drive foot traffic, not to be the profit engine. The real opportunity is using that built-in traffic to your advantage. Since people are already coming in regularly for groceries, that's a natural on-ramp into your higher-margin categories. A few ways to do that: a small Fashion or Electronics discount unlocked by a grocery purchase, end-cap placement featuring Fashion/Electronics items near the grocery aisles, or a "spend $X in groceries, get $Y off Fashion" bundle. That turns Groceries from a category that looks "behind" into the engine that feeds your two strongest ones.Your five stores are running close together (2,886 to 3,061 in quantity sold) — that's a good sign of consistency across locations, not a problem to fix, just worth knowing.
Average Order Value sits at $3.07K against $15K in total sales — worth keeping an eye on whether that number moves as any of the above changes roll out, since it's a quick pulse check on whether people are buying more per visit or just more often.

HI! I'm Amber.I've worked more roles than I can count — retail floors, restaurant counters, pizza delivery, turned a hobby into an online business, and was lucky enough to stay home for 12 years to raise my kid. While working my last role, I added an analytics certification from the University of Tennessee-Knoxville on top of all of it. That kind of life doesn't fit neatly on a résumé, but it builds something a fresh-faced college grad just doesn't have yet: a real, ground-level understanding of how businesses actually run.I've watched decisions get made on gut feeling while the real answers were sitting in the numbers the whole time. I know what it looks like when labor is creeping up, when a slow season hits harder than it should have, when something feels off but nobody can name it.That's not just a data problem. That's a visibility problem.I built Vectova because small business owners deserve the same quality of insight that big businesses take for granted — without the corporate price tag or the consultant who's never actually worked a floor.Because vibes do not equal KPI's.