team 2:fbi(fresh business intelligence). agenda brief introduction on project working process...
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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
AgendaBrief Introduction on projectWorking ProcessDashboard ShowTeam Work
Working Process
Data 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_MANAGER
MANAGER_ID
MANAGER_NAME
TEAM_ID
SEASON_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_ID
TEAM_NAME
SEASON_ID
SEASON_RANK
PLAYER_NUM
WIN_NUM
DRAW_NUM
LOSS_NUM
GOAL_FOR
GOAL_AGAINST
TEAM_CLEAN
TEAM_ID
TEAM_NAME
SEASON_ID
CLEAN_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. Away
Case: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 Defense
Case: 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.
Preview - General
Case: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”
