How to Earn with Data Analytics, AI & Dashboards

Position YouTube as the core platform for long-form tutorials to build authority, while using other platforms for short-form content and linking back to two separate channels.

Sketch and design your dashboard by outlining top bars, five KPI cards, and charts in PowerPoint or on paper, then structure data with an Excel table and pivot chart.

Create a pivot table in Excel to analyze calls, revenue, and customer satisfaction. Format numbers and compute drop and answer rates using AI-assisted formulas.

Design an advanced dashboard that analyzes calls handled by agents, identifies top and underperforming performers, and communicates contribution percentages through dynamic visuals and formatted text.

Connect controls to drive an interactive trend line, use if logic and dynamic naming to navigate data, and add max, min, and mean markers for clear highlights.

Build an Excel dashboard that analyzes year over year call distribution and channel performance for call center operations, using pivot tables, charts, and filters for department, outcome, and month.

Learn to build dynamic Power BI dashboards from scratch, mastering DAX, data transformation, data modeling, and relationships to deliver clean, interactive pages like overview, operations, customers, and profits.

Establish one-to-many and many-to-one relationships between dimensional and fact tables using keys like customer id, driver id, location, and vehicle, and leverage AI to create calendar table for Power BI.

Group and organize measures across three pages by creating and naming pages, placing measures into folders, and troubleshooting DAX measures to streamline dashboard development.

Use ai to create base measures and group them into buckets for dashboards, attach base measures to visuals, and build kpi by comparing logistic data to last month.

design executive KPI cards and visuals that summarize total orders, cancelled, delivered, dispatched, and pending, with last-month comparisons and month-over-month insights.

Create a dynamic kpi measure with a slicer that swaps between the month of a month change and the canceled rate, using selected value and a switch true expression.

Implement dynamic KPI cards by creating and renaming measures, applying custom titles, and deriving month-over-month changes and rates for delivered, dispatched, pending, and canceled orders.

Add a monthly line chart of total orders, highlight max and mean values with visual calculations, and refine axis details to create a clear executive dashboard.

Discover how to gather dashboard design ideas from dribble and other sites, then customize KPI, charts, and a sidebar in PowerPoint for a unique logistic dashboard.

Create professional PowerPoint backgrounds by aligning colors to a client palette, incorporating logos, cropping images, and shaping layouts for dashboards, then export as PNG for use.

Format slicers to filter visuals and KPI cards, using a month slicer and grid layouts, and refine colors and interactions for precise dashboard filtering.

Design a performance and operations dashboard that highlights efficiency, profitability, and workload distribution, using KPIs such as average delivery time, delivery costs, profits per delivery, and active vehicles.

Identify top and bottom drivers with a scatter plot that places average delivery time on the x-axis, profit on the y-axis, and uses size for deliveries with color by profit.

Create a supporting table to reveal driver names and ratings, including a star-rating measure built with dax. Customize visuals and add a vertical slicer to explore delivery performance.

Build a scatterplot that links customer activity, revenue, orders, and profitability to identify high-value customers and growth opportunities.

Create and customize visuals to analyze profit by city and delivery region, copying and pasting to configure visuals tied to location.

Identify profitability drivers and monitor delivery performance through a detailed dashboard blueprint, deriving KPIs from regional profit, delivery efficiency, driver performance, and cost analysis.

Learn to build dynamic DAX measures to identify the fastest delivery by vehicle type using top values, filters, and formatting, and assess delivery costs as a percentage of revenue.

Create a grand total measure to compute the region-wise contribution percentage to total profit, format as percent, and customize visuals with axis and table view.

Learn to add filters with a drop-down, apply conditional formatting across views, and refine a dashboard by adjusting headers, color, and interactions.

Build a driver performance dashboard with KPIs like active drivers, top profit, top-rated drivers, and delivery time versus rating to guide monthly tracking and decisions on promotions, training, or replacements.

Create dynamic KPI cards for vehicle types (bike, van, truck) in a dashboard, customizing background, colors, and fonts while tracking total deliveries, average delivery time, weight per order, and profit.

Group delivery hours into intuitive time buckets using a calculated column, then visualize the distribution in a dashboard with sorting by time group, data labels, and color-consistent charts.

Analyze profitability across bike, truck, and van fleets by comparing total deliveries, profits, and average delivery time. Consolidate these metrics into a single KPI per fleet.

Group delivery hours into buckets with a calculated column, creating time groups and a dashboard view to compare revenue and average profit per delivery.