Data Analytics#

  1. Data Analysis

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Data Analysis#

Data Science#

  • the discipline of making data useful by creating new ways of modeling and understanding the unknown by using raw data

  • Statistics: make a few important decisions under uncertainty

  • Machine Learning: automate and make many decisions under uncertainty

  • Analytics: encounter unknowns, understand and make decisions

Analysis Process#

  • collect, transform and organise data to make conclusions, predictions and informed decisions

  • ask, prepare, process, analyse, share, act

  • Decision Intelligence
    • combine applied data science and social and managerial science

Data Ecosystem#

  • elements that interact with one another to produce, manage, store, organise, analyse and share data

  • hardware, software and people who use those tools

  • cloud is important in the data ecosystem

DDDM#

  • Data-Driven Decision-Making

  • using facts to guide business strategy

  • define the business need, find data, analyse and uncover trends, patterns and relationships

  • result can build on the past or branch into a new business direction

  • Subject Matter Experts
    • people familiar with the business problem

    • crucial to include insights from them when making decisions

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