import pandas as pddf = pd.read_excel('data.xlsx')df.groupby('region').sum()model.fit(X_train, y_train)import numpy as npplt.plot(forecast)df.dropna(inplace=True)from sklearn import metricsprint(df.describe())np.mean(returns) * 252
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Dashboard Development

Our dashboard development service brings sales, costs and targets into clear KPI reports. Explore interactive Excel dashboards, executive reporting and budget-tracking examples below.

Examples

Sales dashboard

A store sees daily revenue, best products and region-wise sales on one page.

Executive KPI board

The CEO tracks growth, margin and cash every morning in 30 seconds.

Budget tracker

A family or small team sees income vs. spending by category each month.

How we do it in Python

import pandas as pd
df = pd.read_excel("sales.xlsx")
kpi = df.groupby("region")["revenue"].sum()
print(kpi.sort_values(ascending=False))

Excel sheets

Interactive Dashboards Model

Interactive model with what-if scenarios and sensitivity tables.

Executive SummaryInteractive_ModelScenario_Sensitivity
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Dashboard Template

Ready-made dashboard linked to a raw data tab.

DashboardData
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Monthly Budget

Track monthly income and expenses with a visual summary.

Monthly BudgetDashboard
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