Concepts:

• Data Collection
  • Process of gathering data for use in business decision-making, strategic planning, research, and other purposes
  • Common data collection methods: automated functions built into applications, information services providers, social media platforms, etc.
  • Challenges: data quality issues, data relevancy, deciding what data to collect, etc.
• Data Visualization
  • Practice of translating information into a visual context to make data easier for the human brain to understand
  • Main goal is to make it easier to identify patterns, trends, and outliers in large datasets
  • Benefits: ability to absorb information quickly, improve insights and make faster decisions, easy distribution of data, etc.
• Data Modeling
  • Process of creating a simplified diagram of a software system and the data elements it contains
  • Provide a blueprint for designing a new database or reengineering a legacy application
  • Enables data management and analytics teams to document data requirements for applications and identify errors in development plans before any code is written
• Data Report
  • Process of collecting and formating raw data and translating it into a digestible format to assess the ongoing performance of an organization
  • Nothing more than a recorded list of facts and figures
  • Often summarizes financial information such as revenues, account receivables, and net profits