IPL Analytics Power BI Dashboard with Cricket Intelligence and DAX Reporting
Group: Capstone Project
|Product Category: BI Reporting & Analytics
|Sub Category: Power BI
About this Product
IPL Analytics Power BI Dashboard is an advanced Business Intelligence capstone project that connects directly to a normalized PostgreSQL database of 17 years of IPL ball-by-ball data (2008–2025) and transforms it into a production-grade, multi-page Power BI report — complete with a star schema data model, a comprehensive DAX measures library, and 13 interactive report pages.
With this project, you'll build a dashboard that can:
- Import 22+ dim/fact tables from PostgreSQL using a pre-configured .pbip definition package
- Build a semantic layer with relationships, calculated columns, and 20+ DAX measures
- Display KPI cards, Orange Cap and Purple Cap performers, and season-wise leaderboards
- Browse teams, players, and matches with drill-through pages for deep-dive analysis
- View points tables with qualification zone highlighting and NRR comparison bars
- Compare players and teams side-by-side using a dedicated comparison tool
- Publish reports to Power BI Service with Row-Level Security (RLS) for access control
This project teaches you practical skills like:
- Power BI data modeling — star/snowflake schema, relationships, and Import mode optimization
- DAX formula writing — KPI measures, time intelligence, TOPN, DIVIDE, and ALLSELECTED
- Report design — custom IPL theme, conditional formatting, bookmarks, and sync slicers
- Drill-through navigation, back buttons, and bookmark-powered toggle views
- Publishing to Power BI Service with scheduled refresh and RLS configuration
It uses Power BI Desktop, DAX, Power Query M, PostgreSQL, and a custom IPL JSON theme.
Why this project matters:
Power BI is the most in-demand BI tool in enterprise hiring. Building a multi-page report on real IPL data teaches you data modeling, DAX, and dashboard design — the exact three skills every BI and data analyst role tests for.
Resources
This is the sample image of Interactive executive overview dashboard for the IPL Analytics Platform displaying tournament-wide KPIs, season filters, top-performing teams and players, match trends, win statistics, and visual insights using cards, charts, slicers, and comparative analytics. Designed to provide a quick summary of overall IPL performance metrics and historical trends.
This is the sample image of Comprehensive team exploration dashboard showcasing IPL franchise profiles, season-wise performance, win/loss records, squad details, venue statistics, championship history, and comparative analytics. Includes interactive filters, team cards, charts, and detailed insights for analyzing individual franchise performance across seasons
This is the sample image of Advanced batting analytics dashboard featuring player-wise batting statistics such as total runs, strike rate, batting average, boundaries, centuries, half-centuries, consistency metrics, and season comparisons. Includes interactive visualizations, ranking tables, trend charts, and performance breakdowns for in-depth batting analysis
This is the sample image of Dynamic IPL points table dashboard displaying season standings, matches played, wins, losses, net run rate (NRR), points, qualification status, and ranking progression. Designed with sortable tables, team performance visuals, and season filters to analyze tournament standings and team competitiveness
This is the sample image of Visually rich showcase dashboard highlighting IPL championship-winning teams across all seasons. Includes trophy visuals, championship timelines, captain information, final match summaries, season winners, and historical achievements presented through engaging cards, galleries, and timeline-based visual storytelling
This ZIP archive contains curated IPL (Indian Premier League) datasets for the 2021, 2022, and 2023 seasons, organized as structured CSV files for analytics and database usage. The dataset is sourced and validated by Practyc and includes match, innings, player, team, batting, bowling, and fielding-related data across league stages, qualifiers, and finals for all three seasons.
The archive includes dataset tables related to:
- Matches and innings
- Ball-by-ball deliveries
- Batting, bowling, and fielding statistics
- Batting and bowling scorecards
- Partnerships and fall of wickets
- Teams, players, venues, and squads
- Points tables and season winners
- Player awards and all-time IPL statistics
Project Mentors
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