Data Literacy in Practice A Complete Guide to Data Literacy and Making Smarter Decisions with Data Through Intelligent Actions /

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Accelerate your journey to smarter decision making by mastering the fundamentals of data literacy and developing the mindset to work confidently with data Key Features Get a solid grasp of data literacy fundamentals to support your next steps in your career Learn how to work with data and extract me...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Klidas, Angelika (Autor), Hanegan, Kevin (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Birmingham : Packt Publishing, Limited, 2022.
Edición:1st edition.
Temas:
Data mining.
Information literacy.
Decision making.
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • Cover
  • Copyright
  • Contributors
  • Table of Contents
  • Preface
  • Part 1: Understanding the Data Literacy Conceptss
  • Chapter 1: The Beginning
  • The Flow of Data
  • Understanding data in our daily lives
  • Analyzing data
  • Searching and finding information
  • An introduction to data literacy
  • The COVID-19 pandemic
  • The organizational data flow
  • The DIDM journey
  • The success story of The Oakland A's
  • Summary
  • Chapter 2: Unfolding Your Data Journey
  • Growing toward data and analytics maturity
  • Descriptive analyses and the data path to maturity
  • Understanding descriptive analysis
  • Identifying qualitative or quantitative data
  • Understanding diagnostic analysis
  • Understanding predictive analytics
  • Understanding prescriptive analytics
  • AI
  • Can data save lives? A success story
  • Summary
  • Chapter 3: Understanding the Four-Pillar Model
  • Gaining an understanding of the various aspects of data literacy
  • Introducing the four fundamental pillars
  • Becoming acquainted with organizational data literacy
  • Discussing the significance of data management
  • Defining a data and analytics approach
  • The rapid growth of our data world
  • Tools
  • The rise of ML and AI
  • Moving to the cloud
  • Data literacy is a key aspect of data and analytics
  • Understanding the education pillar
  • Mixing the pillars
  • Summary
  • Chapter 4: Implementing Organizational Data Literacy
  • Implementing organizational data literacy
  • Planning the data literacy vision
  • Communicating the data literacy vision
  • Focusing on desired outcomes
  • Adopting a systemic perspective
  • Getting everyone involved in the whole process
  • Developing a data-literate culture
  • Managing change
  • Driving resilience
  • Managing the organization's skills and knowledge
  • Creating a data literacy educational program
  • Identifying employee roles
  • Learning levels
  • Covering all moments of need
  • Learning methodologies
  • Including all knowledge types
  • Learning elements
  • Organizing content
  • Searching for content
  • Measuring success
  • Celebrating successes
  • Summary
  • Further reading
  • Chapter 5: Managing Your Data Environment
  • Introducing data management
  • Understanding your data quality
  • Intermezzo
  • Starting to improve data quality in a small-scaled healthcare environment
  • Delivering a data management future
  • Data strategy
  • Taking care of your data strategy
  • Creating a data vision
  • Identifying your data
  • Discovering where your data is stored
  • Retrieving your data
  • Combining and enriching data
  • Setting the standard
  • Processes
  • Control
  • IT
  • Summary
  • Part 2: Understanding How to Measure the Why, What, and How
  • Chapter 6: Aligning with Organizational Goals
  • Understanding the types of indicators
  • Identifying KPIs
  • Characteristics of KPIs
  • Leading and lagging indicators
  • Reviewing for unintended consequences

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