Team 2:FBI(Fresh Business Intelligence)

Team 2:FBI(Fresh Business Intelligence)

Premier League Analysis use Microstrategy BI

AgendaBrief Introduction on projectWorking ProcessDashboard ShowTeam Work

AgendaBrief Introduction on projectWorking ProcessDashboard ShowTeam Work

About Premier League

the world's most watched league, followed worldwide by over half a billion people in 202 countries

One of the most richest football league: with total club revenues of €2.326 billion in 2008

What we will doWe will analyze the league data from 2000-

2011We will show you:

◦History Overview average goal per match team won the titles for most times team overall performance

◦Factors that affect the performance home result & away result Attack & defense

◦Preview Team character analysis Prediction：Who’ll win the Champion?

Our Target CustomerPremier League FanSports Magazine and websiteCoach of club Rich men who want to buy a club

Our ToolsMicrostrategy 9.0Microsoft Office Access 2007

AgendaBrief Introduction on projectWorking ProcessDashboard ShowTeam Work

Working ProcessData　 Preparation•Collecting　 Data•Build

Warehouse

Project Design•Logical Data

Model •Creating

Project, Table, Attribute…

Dashboard Design

Collecting DataLeague, Team, Match, Player

DataCollecting Data from Premier

League official website, ESPN,OPTA….

Mainly manual

Build the data warehouseUse Access 2007ETL process

◦regular expression◦VBA◦SQL

Warehouse Design

LU_PLAYER

PLAYER_ID

PLAYER_NAME

TEAM_ID

SEASON_ID

LU_TEAM

TEAM_ID

TEAM_NAME

TEAM_SHORTNAME

LU_MATCH

HOME_TEAM_ID

AWAY_TEAM_ID

ROUND_ID

MATCH_DATELU_MANAGERMANAGER_IDMANAGER_NAMETEAM_IDSEASON_ID

Team Hierarchy

Warehouse Design

LU_SEASON

SEASON_ID

LU_MATCH

HOME_TEAM_ID

AWAY_TEAM_ID

SEASON_ID

MATCH_DATE

Time Hierarchy

Warehouse DesignFact Table(Too many to display here)TEAM_RESULTS

TEAM_IDTEAM_NAMESEASON_IDSEASON_RANK

PLAYER_NUM

WIN_NUM

DRAW_NUM

LOSS_NUM

GOAL_FOR

GOAL_AGAINST

TEAM_CLEAN

TEAM_IDTEAM_NAMESEASON_IDCLEAN_SHEET_NUM

………………………

Logical Data ModelLogical Data Model

Season

Match

Team

Player

Manager

Away Team

Home Team Team A Team B

Build Project Configure Project Metadata

◦Tool: Configuration wizardConfigure Project Connectivity

◦Tool: System Data Source(ODBC)Creating ProjectCreating Schema Object

◦Table, Fact, Attribute, Hierarchy

Build Reports & DashboardReports for overview, analysis

and previewNearly 90 metricsSingle Layout Multiple Panel

AgendaBrief Introduction on projectWorking ProcessDashboard ShowTeam Work

“Overview” PanelTeam Profile Case

◦Manchester UnitedMatch Reports Case

◦2009/2010 Manchester City vs. Chelsea

League Statistics Case◦ Average Goal of season

2009/2010 : 3◦Glory: 10 tile, MU 5,Chelsea 3,

Arsenal 2◦Seasonal Team Performance: Chelsea

scored 103 in 2009/2010

Factors AnalysisWhich Factors will affect the

winning of the champion? - Home vs. Away - First Half vs. Second Half - Attack and Defense - Foul, Yellow Card and Red Card - Player Skills (Not mentioned in this part for

missing of data)

Factors Analysis-Home vs. AwayCase:Top Team:09/10 Chelsea and Manchester

United◦ Home: Chelsea 52 MU 49◦ Away: Chelsea 34 MU 36

See Graph Below:◦ 09/10 Sunderland with low away rank but not so

bad season rank◦ Another example: 05/06 Fulham

Conclusion Compare to 04-09 Top Team have both worse Away

Performance ,so the excellent Home performance is more important

Factors -First Half vs. Second HalfCase:09/10 First Half Time Goal:

◦Top Team top rank09/10 Second Half time Goal Percent:

◦No much difference05/06 Second Half time Goal Against

Percent◦Sunderland

Conclusion Top team seems more likely to score in the first half and

kill the game Weak team is more likely to lose in second half

Factors- Attack and DefenseCase: 09/10,08/09…. Conclusion You should strong in both ways

Factors - Foul, Yellow Card and Red CardCase:01….10

◦Top Team in a clusterConclusion Top One always neither the cleanest one nor

the dirtiest one; It seems foul sometimes helps you.

PreviewGeneralAttack & DefenseStaff

Preview - GeneralCase:Chelsea have both top rank of GF

and GA Much First Half Time Goal and

Little Goal Against. Arsenal with Top Possession Percent

and only rank 4 and goal16

Preview -Attack & Defense Case:Still ChelseaArsenal with Most Chances

Created and corner Manchester United with Most

cross ◦ winger

Preview -StaffCase: Chelsea and Manchester

United Manager

◦ Manchester United Sir Alex Ferguson with excellent history result

Player：◦ Goal Keeper： both excellent◦ Assist： Key player such as Nani and Drogba◦ Best Shooter： Berbatov Drogba◦ Guard： Alex and Vidic

Conclusions & SuggestionsPrediction of Champion

◦ChelseaSuggestions to Teams

◦As rival of Chelsea: Manchester United should improve their defense

◦Arsenal should be more efficient, With Top Possession Percent and only rank 4 and goal16

AgendaBrief Introduction on projectWorking ProcessDashboard ShowTeam Work

Way of team workDivide Project into three clear

parts◦Overview ◦Factors Analysis◦Preview

Single intelligence Server Multiple Client(Desktop/Web)

Member ContributionYan, Pengyi(Robert): Team Leader

◦Contribution Collecting the Match data Design the scenario and report Design the factor panel and preview

panel of dashboard◦Remark from team mate: “Problem

Killer”

Member ContributionTian, Baoming(Bob)

◦Contribution Collecting the team, player data Build and maintain the data warehouse Build project and schema object and

overview report Design the overview panel of dashboard

◦Remark from team mate: “Top Analyst”

EndThank you!