Data Curious - Helion

ebook

Autor: Carl Allchin, Sarah Nabelsi
ISBN: 9781098143794
stron: 140, Format: ebook
Data wydania: 2023-07-14
Księgarnia: Helion

Cena książki: 143,65 zł (poprzednio: 167,03 zł)
Oszczędzasz: 14% (-23,38 zł)

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Data has been a missing part of most academic curriculums for a long time, and we're all being affected. During challenging times, creating a data-informed culture can help you pivot quickly or prevent expensive missteps. Developing a data curious organization will take advantage of the burgeoning data resources available as a result of increasing digitalization.

With this book, author Carl Allchin shows today's business professionals how to become data empowered. These tech-savvy business professionals will learn data literacy fundamentals—from understanding the possibilities to asking the right questions. You'll discover how to make the right technology choices and avoid pitfalls that could put your career and company at risk.

Discover what an agile, empowered, data-driven organization should look like
Examine how to use data in new ways to help your business come to life
Learn key terms and concepts around data management and analytics
Understand the differences between spreadsheet analysis and a data analytics pipeline
Get advice for working with data scientists and explore ways to mitigate the IT department's concerns

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Spis treści

Data Curious eBook -- spis treści

Preface
- Why We Wrote This Book
- Who This Book Is For
- How This Book Is Organized
- OReilly Online Learning
- How to Contact Us
- Acknowledgments
  - Carl Allchin
  - Sarah Nabelsi
1. The Emerging Data Challenge and Opportunity
- Rapidly Evolving Challenges
  - The Growth in Data Volume and Velocity
  - New Regulations and Government Mandates
  - Improving Decision-Making by Democratizing Data
  - Developing New Products and Propositions
  - Building a Common Understanding
- Challenging Data Issues
  - Data Fluency
  - Data Culture
  - Conflicting Preferences
- What Does Data Empowerment Look Like?
  - People
  - Processes
  - Data-Informed Decision-Making
2. Data Knowledge and Skills
- What Is Data?
  - Key Features of Data
  - Data Types
    - Numbers
    - String data
    - Date fields
    - Boolean fields
  - Data File Structures and Formats
    - The shape of data
    - File types
    - Going beyond files
- Data as a Resource
  - Where Data Is Created
  - Operational versus Analytical Sources
  - Curating Data Sources
  - The Blessing and Curse of Data Sources
- Data Products
  - Types of Analytical Output
    - Operational reporting
    - Supplementing other communications
    - Basic data visualizations/analysis
    - Dashboards
    - Predictive models
  - Data Visualization Best Practices
  - Data Sets as the Product
  - Importance of Iteration
- Data Skills for Better Decision-Making
  - What Skills?
    - Understanding outputs
    - Analysis
    - Communicating data
    - Going beyond data analysis
  - Skills for Whom?
- Summary
3. The Building Blocks of a Data Analysis System
- Data Extraction and Acquisition
  - Data Extraction
  - Data Acquisition
- Data Storage Logic and Terminology
  - Types
    - Spreadsheets
    - Databases
    - Data lakes
    - Data lakehouses
  - Location of Data Servers
    - On-premises
    - Cloud
- Data Enrichment and Curation
  - Data Transformation versus Enrichment
  - Data Quality and Governance
  - Curating Data
    - Metadata
    - Catalogs
- Data Exploration and Analysis
  - What Is Data Exploration?
  - Creating Analytical Outputs
- Sharing with Others
  - Sharing Internally with Departments
  - Sharing Externally with Partners
  - Sharing Externally with the Public
- Summary
4. Building Your Analytics Platform
- Technological Options
  - Analytic Tools
  - Data Storage and Management
  - Data Processes and Pipelines
- How to Choose an Analytical Architecture
  - Assessing Total Cost of Ownership
  - Speed of Business Change
  - How Will It Be Used?
  - Internal Team versus External Support
- Deployment
  - Agile Development
  - Plan Deployment
  - Use Analysis Techniques to Monitor Deployment
- Develop Through Use
  - Create Key Reports/Dashboards
  - Quality versus Quantity
5. Setting Your Team Up for Success
- Recruiting
  - Internal First
  - External Resources
  - Setting up Career Pathways
- Defining the Right Structure for your Organization
  - Centralized versus Decentralized
  - The Hybrid Approach
- Establishing and Empowerment
  - Executive Sponsorship
  - Data-Informed Culture
  - Likely Challenges
- Whats Next?
  - Encourage Projects that Create a Data-Informed Organization
  - Form a Data-Fluent Team
  - Just Get Started
Index