What Every Manager Should Know about Big Data and Data Science

The need for precise, actionable, real-time Business Intelligence (BI) lies at the heart of the role of Big Data in modern commerce. In turn, the art of "Data Science" lies at the nexus of Big Data and BI, providing the essential methods by which BI can be extracted from Big Data's great black mass of constantly flowing, unstructured information. This combination has a created a new profession: an elite and specialized class of highly-compensated professionals specially skilled at data cleaning, analysis, and visualization. We call them Data Scientists, and their evolving role in the organization is one about which managers must have a clear understanding. As shown in WHAT EVERY MANAGER SHOULD KNOW ABOUT BIG DATA AND DATA SCIENCE, integrating data scientists (and the general practice of Data Science) with the organization is often a delicate process involving the redefinition of traditional roles within the enterprise as well as dealing with issues of territoriality amongst peers. To accomplish this task, managers need a firm knowledge of the what and whys of Data Science, the specific BI needs it is uniquely positioned to service, and the processes by which it functions. Such is the knowledge this important book provides. CONTENTS: Preface

The Vital Triangle

What Is Big Data?

Creativity and Intuition

Making Something Out of Nothing

Introducing Data Science to the Enterprise

Avoiding Friction Between Old & New: Dealing with the TCQ Triangle

The Evolving Role of the Data Scientist

Data Science Ethics and Privacy Concerns

The Art of Seeing Things

Data Management

Artificial Intelligence, Machine-Learning, and Deep-Learning in Data Science

Data Curation and the Tribal Knowledge Problem

Data Cleaning

Data Modeling for Unstructured Data

Predictive Analysis

A Bit More On Data Visualization

Cassandra

Hadoop

Orchestrating Change in the Workplace