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Business intelligence 101

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Overview of Business Intelligence Concepts for ordinary folks

Overview of Business Intelligence Concepts for ordinary folks

Published in: Business, Technology

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  • 1. Business Intelligence - 101 Ashok Bhatla MS, PMP BI Consultant
  • 2. Business Intelligence is No.1 Priority for IT Managers today. Business Intelligence is a combination of tools, processes and software which help a company to transform data into actionable knowledge, thereby allowing them to take informed decisions in order to achieve their strategic goals. It’s all about providing right information to right people at the right time We are drowning in data, but starving for knowledge
  • 3. Business Intelligence Trend Analysis Regression Analysis Hierarchical Decision Models
  • 4. Get Deeper Insights into Business with meaningful data Faster Decision making using improved Business Processes Improve productivity and efficiency leading to better profits Improve productivity and efficiency leading to better profits
  • 5. Define Objectives – What metrics to be reported, Collect and Store the right information (Storing the data in data marts) – Gathering data from Retail Systems, Web Site Software and Production Systems measuring quality etc. Analyze the data using some statistical tools or data mining softwares Present the information to end consumers (using some Reports, Visualizations, Charts, Dashboards etc.) Make evidence based decisions to achieve the goals of the company. Steps in a Typical BI Process
  • 6. Transactional Databases Data Warehouse ETL (Extract, Transform and Load Enterprise Reporting Business Intelligence Flow Diagram
  • 7. BIG Data Characteristics • Text, Video, Images, Logs, Sensors Data • Streaming Data • Terabytes to Petabytes Volume Velocity VeracityVariety Big Data
  • 8. Big Data Types Big Data Sensors Data like from Cars Data From Mobile Devices RFID Data from Retail Stores Web Logs – like from AMAZON and Facebook Grid Data (like from Utilities) Healthcare Data ( Patient Records)
  • 9. Challenges of Big Data Difficult to analyze using traditional relational database methods Most of the data is unstructured, in many different formats Tools to capture and store the data are still evolving Privacy and security of the data when it is stored in the public cloud