Living management dashboards that move decision-making from intuition to data. From setup to training, from model to dashboard — all from one hand.
| Item | Budget | Actual | Variance |
|---|---|---|---|
| Sales Revenue | 45,0 | 48,6 | +3,6 |
| Cost of Goods Sold | -31,0 | -33,2 | -2,2 |
| Gross Profit | 14,0 | 15,4 | +1,4 |
| Operating Expense | -6,0 | -5,3 | +0,7 |
| Net Profit | 8,0 | 10,1 | +2,1 |
All your sources unite in a single data model. Dashboards update themselves; everyone looks at the same correct figure. Questions are answered before the meeting — the meeting is left for decisions.
Your sales, stock and production data flow to dashboards instantly. Your managers decide from the current picture without waiting for month-end.
From sales to finance, warehouse to production, every team monitors its own metrics on its own screen. Everyone looks at the same data and speaks the same language.
Your teams don't wait on IT for a new question; they pull the answer from their own dashboard. The report-request queue becomes history.
Reach dashboards from the office, the field and mobile with the same permission scheme. Data behaves exactly as you define who can see what.
On the executive's screen, only the pulse of the business: sales, collections, stock and production at a glance. Whoever wants detail clicks and dives deeper.
Items that deviate from expectations reveal themselves: falling margin, slowing product, swelling stock. The dashboard flags the problem, not a report.
Wherever you are on your Power BI journey, we are with you. Consulting, training and support — we start from whichever you need and build the rest together.
The real work behind a dashboard is the data model. We analyse your sources, build the right model and construct your reports on that solid foundation.
Building the report is not enough; your team must be able to question it in their own words. We deliver training on your organisation's own data and processes.
Business changes, data grows, reporting needs evolve. We regularly check the health of your reporting infrastructure and take on its maintenance and improvement.
The 20 Power BI visuals we set up most often in consulting projects: their function, correct use, and real examples from ERP, CRM, WMS, MRP, finance, sales, production, logistics and HR processes.
Shows the current value of a single measure in large type; it's the standard for the summary figures a manager should see at first glance, in the top band of a dashboard.
Field examples: Finance: monthly net profit · Sales: open order amount · WMS: pending shipment count · HR: active headcount
Shows the value not on its own but together with target, trend and status color. It adds the 'where are we against target' answer to the 'where are we' question.
Field examples: Sales: revenue vs monthly target · Production: OEE vs target · Logistics: on-time delivery rate vs SLA
Shows the row-level detail itself; it's the visual of the record, not the summary. It's where operations teams drill into the 'which records' question.
Field examples: CRM: open opportunity list · Logistics: today's shipment plan · Finance: overdue invoices
| Customer | Opportunity | Stage | Amount |
|---|---|---|---|
| Yılmaz Hırdavat | Annual supply agreement | Quote | ₺84.000 |
| Demir Yapı Market | Regional dealership | Meeting | ₺126.500 |
| Aksa Ticaret | Project shipment | Contract | ₺59.200 |
Presents a multi-dimensional summary with row and column hierarchies; it's the Power BI equivalent of the Excel pivot habit. You drill into detail with subtotals and drill-down.
Field examples: Sales: region × month revenue matrix · Finance: cost center × month expense · Production: line × shift output count
| Region | Jan | Feb | Mar | Total |
|---|---|---|---|---|
| Marmara | ₺1,84M | ₺1,91M | ₺2,06M | ₺5,81M |
| Aegean | ₺0,92M | ₺0,88M | ₺1,04M | ₺2,84M |
| Central Anatolia | ₺0,61M | ₺0,74M | ₺0,79M | ₺2,14M |
| Total | ₺3,37M | ₺3,53M | ₺3,89M | ₺10,79M |
Reads out change over time; trend, seasonality and break points are seen most clearly here.
Field examples: Sales: 12-month revenue trend · Production: daily scrap rate · HR: monthly turnover rate
Compares categories with side-by-side columns; it's the first choice for pairwise comparisons like 'this year / last year'.
Field examples: Sales: this year–last year revenue by region · MRP: planned–actual production count
The horizontal form of the column chart; it preserves readability when category names are long or there are many categories.
Field examples: HR: open positions by department · Sales: product-group revenue ranking · WMS: return count by warehouse
Shows the total and the components within it at the same time; it's the visual for the 'where does the total come from' question.
Field examples: Sales: channel breakdown of monthly revenue (dealer / field / e-commerce) · Finance: monthly distribution of expense items
Shows the share of a whole split into a small number of parts. Pies with more than five slices can't be read — it's the visual we most often say 'simplify' about in consulting.
Field examples: Sales: channel shares · Finance: revenue distribution by business line
The hollow-center form of the pie; the space in the middle is used to show the total value, combining share and total in a single visual.
Field examples: WMS: distribution of stock value by warehouse · HR: distribution of the workforce by contract type
Shows shares with nested rectangular areas; it's the right tool when there are too many categories to fit in a pie and a hierarchy exists.
Field examples: Sales: product group → product revenue share · WMS: location occupancy distribution · Finance: cost-center expense shares
Shows, like a bridge, which items increase or decrease from a starting value to an ending one; it's the standard visual of variance analysis.
Field examples: Finance: budget → actual bridge · WMS: opening stock → in/out → closing stock · Sales: last year → price/quantity effect → this year
Shows the step-by-step narrowing of a staged process; at which stage the loss occurs is visible at a glance.
Field examples: CRM: opportunity → quote → contract → order · HR: application → interview → offer → hire
Shows how full a value is against its target on a dial; it's suited to target tracking of a single metric.
Field examples: Finance: monthly collection target · Call center: SLA compliance · Production: capacity utilization rate
Shows the relationship between two measures with points; the bubble size carries a third measure. It's the visual for segmentation and outlier discovery.
Field examples: Sales: revenue × profitability by customer · Production: line speed × scrap rate · Logistics: distance × delivery time
Shows measures on geography; it's the answer to regional density and distribution questions.
Field examples: Sales: revenue density by province · Logistics: delivery points · B2B: geographic distribution of the dealer network
Not a visual but the dashboard's interaction element: the user selects the date range, region or product group themselves; the whole page recalculates in that context.
Field examples: All dashboards: period selection · Sales: region / rep selection · WMS: warehouse selection
Visualizes root-cause analysis by breaking a measure down step by step into the dimensions you choose; it's the interactive answer to 'where does this drop come from'.
Field examples: Sales: revenue drop → region → dealer → product · Production: scrap → line → shift → operator
Explains which factors statistically influence an outcome the most (e.g. cancellation, delay, low margin); it translates machine learning into the language of reports.
Field examples: CRM: factors driving customer churn · Logistics: conditions that increase late delivery · HR: factors affecting the likelihood of leaving
Automatically turns the standout findings of a page's visuals into text; it produces an executive summary that updates itself as filters change.
Field examples: Management dashboard: weekly summary paragraph · Sales: period-closing note
Reporting starts with data, not with preparing files. Once the setup is complete your dashboards refresh themselves and everyone sees exactly what they are entitled to.
Your ERP, e-commerce, production and Excel files come together in a single data model. Meetings no longer start by arguing over which file is right.
Click a chart and drill down to a product, dealer or day on the same screen. You don't have to raise a report request for every new question.
Dashboards update automatically at the frequency you choose. Nobody spends the morning preparing files.
The same dashboard is in your pocket in the field, on the road and in meetings. No separate mobile setup is needed.
With row-level security each user sees only their own region, store or department.
The reports you choose land in your inbox, and you get an alert when a KPI crosses a threshold.
The same data model answers each department's own question.
Revenue, profitability and cash on one screen. You can change course without waiting for the month-end close.
Performance by customer, product and rep; every morning it is clear how far behind target you are.
Collections, due dates and risk tracking. The receivables ageing table is no longer prepared by hand.
Output, scrap and capacity utilisation are tracked live; a bottleneck shows up before production stops, not after.
Stock turnover, critical stock levels and dispatch performance come together on one dashboard.
Revenue, target achievement and collections per dealer; channel management rests on numbers, not guesswork.
We clarify together which data is needed for which decisions.
We unite your sources into a single, consistent and sustainable model.
We build clean, fast dashboards that speak the decision-maker's language.
Your team doesn't just watch the dashboards; they learn to use and query them.
As the business changes, the model and dashboards evolve with it; we stay by your side.
All three tiers share the same foundation, each building on the one below. Compare them side by side and request a quote for the one that fits.
Your first dashboard
Teams still preparing reports by hand
A Microsoft Power BI setup with one data source and one dashboard. See where sales and collections stand without waiting for month end.
Every department on one screen
Companies running sales, finance and operations together
Four dashboards on Microsoft Power BI, one version of the truth. Meetings start with decisions, not with arguing about the numbers.
Enterprise data model
Multi-company or multi-site organisations
An enterprise Microsoft Power BI layer built on a data warehouse, secured row by row and able to forecast the period ahead.
Yes. We connect Power BI to the ERP and databases you use; if needed, we unite the sources into a single model with a data layer we set up in between. You don't need to change systems.
Your data stays on your infrastructure; access to dashboards is limited by the role and permission scheme we define. Who sees what — you decide.
Yes; training is part of the delivery. We work one-on-one with the teams who will use the dashboards daily, and come back when needed.
No. The setup connects to your existing systems for reading only; your daily operations continue as usual.
The model is built for that: when a new question comes up, a new dashboard is usually enough — no rebuild needed. Our support model exists exactly for this.
