Atlantic Coast Operations Business Intelligence Mobility Project Patrick Gormley, Blake Hamilton Brad MacEachen, Ryan Searle Overview • BI Tools Overview and Recommendation • Key Metrics and Information Model • Key Messages regarding Mobile Spend • Dashboard Presentation • Implementation Approach ACO’s Vision for BI • A tool that is simple for users to learn, that has the ability to create reports that are easy to interpret by management and fulfill all the functional requirements needed. These are: • • • • Self-Service Platform Ability to Forecast and perform Predictive Analysis Access Reports and Dashboards on Mobile Devices View data geospatially on reports via maps Overview of Current Tools • • • • • Limited Advanced Analytics features in Cognos TM1 can forecast budgets, although not currently available company wide Tableau has great visual analytics, but generally not powerful and also not available company wide. Even when combined, these tools do not currently meet ACO’s vision for the future of business intelligence. No option for Mobile Platform Recommendations • Full stack Business Intelligence solution • Ability to process large data without expensive back-end hardware or intense IT support • Create dynamic, mobile-accessible dashboards easily without a technical background • Ability to forecast and perform other predictive analysis based on one or more large historical data sets • Ability to visualize data geographically Key Metrics Metric Description Rationale Total Billed Amount The total amount billed to Analyzing this metric by division or month allows us to narrow down segments ACO for mobile spend or time periods within the corporation whose usage is irregular, or greater than average. Airtime Revenue Total Events Revenue Total Long Distance Revenue Total Packet Data Revenue Total The total amount of expenditure for airtime This is a useful metric for determining which divisions or model types are being used the most for calling, either during peak hours, evenings or weekends. The total amount of expenditure for special events This is useful for determining the amount of events being accumulated by the company, aside from regular usage such as calling, texting, etc. The total amount of expenditure for long distance calling Long distance revenue can determine which divisions are travelling the most, and how much it is costing to use their mobile devices while outside of their area. The total amount of expenditure for packet data usage Packet data allows us to view how much internet is being used on mobile devices. This can help us determine whether or not it is necessary, and if there is other plans with better data usage options. Roaming Revenue Total The total amount of expenditure for roaming charges Roaming revenue is similar to long distance, as it shows us how much spending is done outside of our provider’s network. This can be analyzed by division, or by month, to determine who is travelling outside of our network and when the most travelling occurs. Star Schema Information Model Dimension_Date PK Date_ID Dimension_Division PK Division_ID Division_Name Year Quarter Month_Usage Dimension_Unit PK Unit_ID Ty pe_of_unit Month Model_Description Day Manufacturer_Name Day_of_week Dimension_Price_Plan Dimension_Phone PK Price_Plan_ID Price_Plan_Name PK Phone_Num Dimension_Time_of_Day Dimension_Data_Plan PK Data_Plan_ID PK Time_ID Hour Minute Data_RIM_Option_Name Second • Dimension tables, with primary keys to connect to the measure fact table, based on: • Date • Time • Phone • Data Plan • Divison • Base Price Plan • These dimensions are used to describe the measures within the fact table Star Schema Information Model To ll_Mins Fact_Mobile_Data Fact_Mobile_Data PK Division_ID PK Date_ID PK Unit_ID PK Price_Plan_ID PK Phone_Num PK Ti me_ID PK Data_Plan_ID To tal_LD_Charges To tal_Roam_Charges Roaming_Mins To tal_To ll_Roaming_Charges To tal_To ll_Roaming_Mins Web_Brows ing_Packet_Vol To tal_packet_Vol Fact_Mobile_Data To tal_packet_dollars To tal_Duration Discount_To tal To tal_Rim_data_Vol To tal_Peak_Duration To tal_Evening_Duration To tal_Taxes Ttl_roam_packet_charge Ttl_roam_packet_usage To tal_Weekend_Duration Airtime_Revenue_To tal To tal_Duration_Charges LD_Revenue_To tal Int_roam_packet_usage Events_Revenue_To tal Hardware_upgrade_cost To tal_Peak_Charges Int_roam_packet_charge To tal_Evenings_Charges Roaming_Revenue_To tal To tal_Weekend_Charges To tal_Text_Messages To tal_Text_Charges Monthly_price_Charge To tal_roamer_RIM_charge Packet_Data_Revenue_To tal Monthly_feature_charge To tal_Billed_Amount Other_Charges Two Content Layout with SmartArt • First bullet point here • Second bullet point here • Third bullet point here Group C Group B Group A Message #1: Evening and Weekends Sum of Total Evening Charges $250.00 $200.00 • High amount of weekend and evening charges $150.00 • Non 24/7 operating divisions will provide track of when phone usage is occurring $100.00 • From Jan, 2014-June,2014 average of 24.9 evening duration hours • Been charged an extra $603.18 for evening charges. • Moncton has the highest total evening charges $50.00 $- Evening and Weekend • • • • • From Jan, 2014- June, 2014 had on average 37.7 weekend duration hours Spent an extra $2,756.09 on weekend calls The media division spent the most on weekend charges To cut mobile spend divisions and companies of the companies that don’t operate 24/7 should provide data on where the evening and weekend duration is occurring For the divisions and companies that operate 24/7 it is beneficial to find a mobility plan that reduces costs on evening and weekends Sum of Weekend Charges $450.00 $400.00 $350.00 $300.00 $250.00 $200.00 $150.00 $100.00 $50.00 $- Message #2: Roaming • Roaming charges occur when the mobile device is out of the country the mobile provider is in • ACO does business throughout Canada and the US • Heat map should be created to view where the roaming charges are coming from. • Must look at which divisions, companies and mobile devices are being charged the most for roaming • Midland, Transportation, Corporate Services and Cavendish Sum of Total Roaming Charges $20,000.00 $18,000.00 $16,000.00 $14,000.00 $12,000.00 $10,000.00 $8,000.00 $6,000.00 $4,000.00 $2,000.00 $- Sum of Total Roaming Minutes 30000 25000 20000 15000 10000 5000 • Must find a mobile plan that has roaming feature. 0 Total Peak Duration Message #3: Peak Hours • • • • Peak hours refers to the timeframe where mobile charges are at the highest (8 AM – 5PM) This timeframe is where they should be at their desks and have access to landline Positive correlation between peak hours duration and peak hours charges in June, 2014 Being charged on average $9.43 per peak hour 1800000 1700000 1600000 1500000 1400000 1300000 1200000 January, 2014 February, 2014 March, 2014 April, 2014 May, 2014 June, 2014 May, 2014 June, 2014 Total Peak Charges $25,000.00 $20,000.00 $15,000.00 $10,000.00 $5,000.00 $January, 2014 February, 2014 March, 2014 April, 2014 Peak Hours • Significant increase in peak hour between April and June • Could be because it is the busiest time of the year. • IT should analyze why peak hours duration and charges are higher during those months • Management should try and understand why mobile devices are being used instead of landline • Midland being the highest due to being a transportation company Total Peak Charges $16,000.00 $14,000.00 $12,000.00 $10,000.00 $8,000.00 $6,000.00 $4,000.00 $2,000.00 $- Message #4: Monthly Features • Easiest way to reduce costs • Analyze data to find optimal price and feature plans • • Divisions that do business in the US may need different features. Find what employees need what price and feature plans Sum Of Price Plan & Features $1,400,000.00 $1,200,000.00 $1,000,000.00 $800,000.00 $600,000.00 $400,000.00 $200,000.00 $- Sum of Monthly Price Plan Charges Sum of Monthly Feature Charges
© Copyright 2026 Paperzz