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Book Description

The information technology revolutions over the past six decades have been astonishing, from mainframes to personal computers to smart and connected economies. But those changes pale in comparison to what’s about to happen. By 2020, seven billion people and roughly 50 billion devices will be connected to the internet, leaving the world awash in data. How do we make sense of it all?

In this insightful book, Raghunath Nambiar from Cisco examines the role of analytics in enabling digital transformation within the enterprise, including challenges associated with the explosion of data. It embraces the need for analytics at the edge of the network with a local context and analytics at the data center core with a global context. He also explores the differences between the four types of analytics—descriptive, diagnostic, predictive, and prescriptive—including the driving factors behind the need for each of them, as well as the analytical systems required to process them to produce actionable insight.

Raghu then takes a deep dive into how the explosion in internet connections affects key industries, and how applied analytics will impact our future. Learn how analytics can make a difference in:

  • Smart cities to manage energy, the environment, traffic, parking, structures, waste, safety, and crowds
  • Smart energy to enable sustainable and efficient offerings that provide substantial benefits for both providers and customers
  • Healthcare to address the aging population, growing shortage of physicians, and rising costs through connected health
  • Manufacturing for producing higher quality products, creating new lines of business, reducing time-to-market, and increasing revenue growth
  • Transportation to address the increasing demand through collaborative consumption, connected cars, and the potential for autonomous vehicles

Table of Contents

  1. Preface
  2. 1. Introduction
  3. 2. Digital Transformation
    1. Technical Challenges
    2. Data Challenges
      1. Volume
      2. Variety
      3. Velocity
      4. Veracity
      5. Value
      6. Three “I’s” of Big Data
    3. Types of Analytics
      1. Descriptive Analytics: What Happened?
      2. Diagnostic Analytics: Why Did It Happen?
      3. Predictive Analytics: What Will Likely Happen Next?
      4. Prescriptive Analytics: What Should I Do?
    4. Types of Analytical Systems
      1. Business Analytics
      2. Big Data Analytics
      3. IT Operations Analytics
      4. Internet of Things Analytics
      5. Machine Learning
  4. 3. Edge-to-Enterprise Analytics
  5. 4. Smart Cities
    1. Environmental Monitoring
    2. Energy Efficiency
    3. Traffic Management
    4. Parking
    5. Safety
    6. Crowd Control
    7. The Internet of Everything
  6. 5. Transforming the Energy Sector
    1. Smart Grid
    2. Renewable Energy Sources
    3. Distribution and Storage
  7. 6. Transforming Manufacturing
    1. Industry 4.0
    2. Predictive Maintenance
    3. Revenue Growth, Time-to-Market, and New Lines of Business
    4. Higher-Quality, Better Products
  8. 7. Transforming Health Care
    1. Demographics and the Need for Connected Health
      1. Aging Population
      2. Physician Shortage
      3. Chronic Disease
      4. Healthcare Costs
    2. Connected Health Care
      1. Electronic Health Records
      2. Patient-Generated Data
      3. Delivery of Care
      4. Medication Adherence
      5. Senior Wellness
      6. Machine Learning
  9. 8. Connected Transportation
    1. Autonomous Driving
      1. Collaborative Consumption
      2. Types of Autonomous Vehicles
      3. Second-Order Effects
    2. Internet of Things for Cars
      1. Public Transportation
      2. Insurance
      3. Fleet Management
  10. Conclusion
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