![Introduction to Business Analytics and
Data Science
Version 1.0
[Talend Imagine Team] Anthony](https://image.slidesharecdn.com/20210308anthonyintrotobusinessanalyticsanddatasciencever1-210308150525/85/intro_to_business_analytics_and_data_science_ver-1-0-1-320.jpg)
intro_to_business_analytics_and_data_science_ver 1.0
- 1. Introduction to Business Analytics and Data Science Version 1.0 [Talend Imagine Team] Anthony
- 2. ABOUT BUSINESS ANALYTICS . • What is Business Analytics ? Business analytics is the process of using quantitative methods to derive meaning from data in order to make informed business decisions. There are three primary methods of business analysis: Descriptive: Use historical data to identify trends and patterns. Predictive: The use of statistics to forecast future outcomes. Prescriptive: The application of testing and other techniques to determine which outcome will yield the best result in a given scenario. • What is Benefit with Business Analytics ? • With business analytics we can give insight based on data and analysis result for strategic decision. • Improved operation efficiency. Beyond financial gains, analytics can be used to fine tune business operations. 2 Anthony
- 3. VISUAL PERSPECTIVE OF BUSINESS ANALYTICS . Modern business analytics can be viewed as an integration of BI/IS, statistics, and modelling and optimization as illustrated in Figure. 3 Anthony
- 4. CRISP-DM . 4 Anthony CRISP-DM breaks the process of data mining into six major phases: •Business Understanding •Data Understanding •Data Preparation •Modelling •Evaluation •Deployment
- 5. 5 SQL various databases Excel Spreadsheets Tableau Software Simple drag and drop tools for visualizing data from spreadsheets and other databases. IBM Cognos Express An integrated business intelligence and planning solution designed to meet the needs of midsize companies, provides reporting, analysis, dashboard, scorecard, planning, budgeting and forecasting capabilities. SAS / SPSS / Rapid Miner Predictive modelling and data mining, visualization, forecasting, optimization and model management, statistical analysis, text analytics, and more using visual workflows. R / Python Advanced programming-based data preparation, analytics and visualization. TOOL & SOFTWARE USED BY BUSINESS ANALYTICS Database queries and analysis Spreadsheets Data visualization Dashboards to report key performance measures Data and Statistical methods Data Mining basics (predictive models) Tools Software Anthony
- 6. BIG DATA TECHNOLOGY 6 Anthony Big data refer to massive amounts of business data from a wide variety of sources, much of which is available in real time, and much of which is uncertain or unpredictable.
- 7. USE CASE BUSINESS ANALYTICS IN DEALERSHIP 7 Anthony Use Case : Prediction customer doing service to dealer based on milage and period service Business Understanding : (1) Increase customer satisfaction for reminder for service. (2) Prediction stock spare parts for support service activity (3) Increase Dealer Revenue Data Understanding : (1) Customer Profile & Service History. (2) Standard Service based on Service Booklet (3) Telematic Data (ODB2) Modelling and Prediction : (1) Prediction next service for vehicle based on Customer behaviour on use vehicle. (2) Prediction spare part that need to be replace based on Customer locations.