rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Data Literacy in Practice
    sub title: A Complete Guide to Data Literacy and Making Smarter Decisions with Data Through Intelligent Actions
  name:
    name part: Klidas, Angelika
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Hanegan, Kevin
    role:
      role term: author.
  name:
    name part: Safari, an O'Reilly Media Company
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: enk
    place:
      place term: Birmingham
    publisher: Packt Publishing, Limited
    date issued: 2022
    edition: 1st edition.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (396 pages)
  abstract: 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 meaningful insights to take the right actions Apply your knowledge to real-world business intelligence projects Book Description Data is more than a mere commodity in our digital world. It is the ebb and flow of our modern existence. Individuals, teams, and enterprises working with data can unlock a new realm of possibilities. And the resultant agility, growth, and inevitable success have one origin--data literacy. This comprehensive guide is written by two data literacy pioneers, each with a thorough footprint within the data and analytics commercial world and lectures at top universities in the US and the Netherlands. Complete with best practices, practical models, and real-world examples, Data Literacy in Practice will help you start making your data work for you by building your understanding of data literacy basics and accelerating your journey to independently uncovering insights. You'll learn the four-pillar model that underpins all data and analytics and explore concepts such as measuring data quality, setting up a pragmatic data management environment, choosing the right graphs for your readers, and questioning your insights. By the end of the book, you'll be equipped with a combination of skills and mindset as well as with tools and frameworks that will allow you to find insights and meaning within your data for data-informed decision making. What you will learn Start your data literacy journey with simple and actionable steps Apply the four-pillar model for organizations to transform data into insights Discover which skills you need to work confidently with data Visualize data and create compelling visual data stories Measure, improve, and leverage your data to m…
  table of contents: 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
  table of contents: 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
  table of contents: 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
  table of contents: 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
  table of contents: 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
  note: Angelika Klidas, Kevin Hanegan.
  note: Description based upon print version of record.
  note: Applying Goodhart's law to KPIs
  note: Includes bibliographical references (pages 355-359) and index.
  subject:
    topic: Data mining
  subject:
    topic: Information literacy
  subject:
    topic: Decision making
  subject:
    topic: Data mining
  subject:
    topic: Decision making
  subject:
    topic: Information literacy
  classification: QA76.9.D343
  classification: 006.3/12
  related item:
    title info:
      title: Data Literacy in Practice
    name:
      name part: Klidas, Angelika
    origin info:
      publisher: Birmingham : Packt Publishing, Limited,c2022
  identifier: 9781803232355
  identifier: 1803232358
  identifier: 1803246758
  identifier: 9781803246758
  identifier: 9781803246758 O'Reilly Media
  identifier: https://proxy.library.tamu.edu/login
  record info:
    record content source: EBLCP
    record creation date: 221203
    record change date: 20260129230558.5
    record identifier: in00004727236
    language of cataloging:
      language term: eng