Convert the promise of big data into real world results

There is so much buzz around big data. We all need to know what it is and how it works - that much is obvious. But is a basic understanding of the theory enough to hold your own in strategy meetings? Probably. But what will set you apart from the rest is actually knowing how to USE big data to get solid, real-world business results - and putting that in place to improve performance. Big Data will give you a clear understanding, blueprint, and step-by-step approach to building your own big data strategy. This is a well-needed practical introduction to actually putting the topic into practice. Illustrated with numerous real-world examples from a cross section of companies and organisations, Big Data will take you through the five steps of the SMART model: Start with Strategy, Measure Metrics and Data, Apply Analytics, Report Results, Transform.

• Discusses how companies need to clearly define what it is they need to know
• Outlines how companies can collect relevant data and measure the metrics that will help them answer their most important business questions
• Addresses how the results of big data analytics can be visualised and communicated to ensure key decisions-makers understand them
• Includes many high-profile case studies from the author's work with some of the world's best known brands

The Ultimate Guide to Data Science and Analytics

This practical guide is accessible for the reader who is relatively new to the field of data analytics, while still remaining robust and detailed enough to function as a helpful guide to those already experienced in the field. Data science is expanding in breadth and growing rapidly in importance as technology rapidly integrates ever deeper into business and our daily lives. The need for a succinct and informal guide to this important field has never been greater.

RIGHT NOW you can get ahead of the pack!

This coherent guide covers everything you need to know on the subject of data science, with numerous concrete examples, and invites the reader to dive further into this exciting field. Students from a variety of academic backgrounds, including computer science, business, engineering, statistics, anyone interested in discovering new ideas and insights derived from data can use this as a textbook. At the same time, professionals such as managers, executives, professors, analysts, doctors, developers, computer scientists, accountants, and others can use this book to make a quantum leap in their knowledge of big data in a matter of only a few hours. Learn how to understand this field and uncover actionable insights from data through analytics.

UNDERSTAND the following key insights when you grab your copy today:

• WHY DATA IS IMPORTANT TO YOUR BUSINESS
• DATA SOURCES
• HOW DATA CAN IMPROVE YOUR BUSINESS
• HOW BIG DATA CREATES VALUE
• DEVELOPMENT OF BIG DATA
• CONSIDERING THE PROS AND CONS OF BIG DATA
• BIG DATA FOR SMALL BUSINESSES
• THE COST EFFECTIVENESS OF DATA ANALYTICS
• WHAT TO CONSIDER WHEN PREPARING FOR A NEW BIG DATA SOLUTION
• DATA GATHERING
• DATA SCRUBBING
• DESCRIPTIVE ANALYTICS
• INFERENTIAL STATISTICS
• PREDICTIVE ANALYTICS
• PREDICTIVE MODELS
• DESCRIPTIVE MODELING
• DECISION MODELING
• PREDICTIVE ANALYSIS METHODS
• MACHINE LEARNING TECHNIQUES
• DATA ANALYSIS WITH "R"
• ANALYTICAL CUSTOMER RELATIONSHIP MANAGEMENT (CRM)
• THE USE OF PREDICTIVE ANALYTICS IN HEALTHCARE
• THE USE OF PREDICTIVE ANALYTICS IN THE FINANCIAL SECTOR
• PREDICTIVE ANALYTICS & BUSINESS
• MARKETING STRATEGIES
• FRAUD DETECTION
• SHIPPING BUSINESS
• CONTROLLING RISK FACTORS
• THE REVOLUTION OF PREDICTIVE ANALYSIS ACROSS A VARIETY OF INDUSTRIES
• DESCRIPTIVE AND PREDICTIVE ANALYSIS
• CRUCIAL FACTORS FOR DATA ANALYSIS
• RESOURCES AND FLEXIBLE TECHNICAL STRUCTURE
• BUSINESS INTELLIGENCE
• HYPER TARGETING
• WHAT IS DATA SCIENCE?
• DATA MUNGING
• DEMYSTIFYING DATA SCIENCE
• SECURITY RISKS TODAY
• BIG DATA AND IMPACTS ON EVERYDAY LIFE
• FINANCE AND BIG DATA
• APPLYING SENTIMENT ANALYSIS
• RISK EVALUATION AND THE DATA SCIENTIST
• THE FINANCE INDUSTRY AND REAL-TIME ANALYTICS
• HOW BIG DATA IS BENEFICIAL TO THE CUSTOMER
• CUSTOMER SEGMENTATION IS GOOD FOR BUSINESS
• USE OF BIG DATA BENEFITS IN MARKETING
• GOOGLE TRENDS
• THE PROFILE OF A PERFECT CUSTOMER
• LEAD SCORING IN PREDICTIVE ANALYSIS
• EVALUATING THE WORTH OF LIFETIME VALUE
• BIG DATA ADVANTAGES AND DISADVANTAGES
• MAKING COMPARISONS WITH COMPETITORS
• DATA SCIENCE IN THE TRAVEL SECTOR
• SAFETY ENHANCEMENTS THANKS TO BIG DATA
• BIG DATA AND AGRICULTURE
• BIG DATA AND LAW ENFORCEMENT
• THE USE OF BIG DATA IN THE PUBLIC SECTOR
• BIG DATA AND GAMING
• PRESCRIPTIVE ANALYTICS
• GOOGLE’S “SELF-DRIVING CAR”
• AND MUCH MORE!

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