Making big data work for your business : a guide to effective big data analytics

Format:

Book

Author/Creator:

Sinha, Sudhi, Author.

Contributor:

Doan, AnHai, Contributor.

Language:

English

Physical Description:

1 online resource (1 v.) : ill.

Edition:

1st ed.

Place of Publication:

[Place of publication not identified] Impackt Publishing 2014

Language Note:

English

Summary:

If your are interested in the power of Big Data to drive improvement in your business, then this book will help you build and initiate a project for positive change.

Contents:

Cover

Copyright

Credits

Foreword

About the Author

Acknowledgments

About the Reviewers

Contents

Preface

Chapter 1: Building Your Strategy Framework

Using big data analytics to identify where to play and how to win, to grow your business

Understanding the changing landscape

Identifying the strategic implications

Spotting and simulating growing influences

Simulating your organization's use of data

Understanding competitive actions

Establishing correlations

Integrating new possibilities into planning

Developing strategies

The Balanced Score Card approach

Force Field Analysis

Aligning existing initiatives

Cascading your strategy

Summary

Chapter 2: Creating an Opportunity Landscape and Collecting Your Gold Coins

Building your Data Catalog

The Gold Coin approach

Identifying your Gold Coins

Qualification

Benefit assessment

Strategic advantage assessment

Assessing your Gold Coin project

Prioritizing your Gold Coins

Developing the prioritization framework

Building your Gold Mine

Chapter 3: Managing Your Big Data Projects Effectively

Recognizing how Big Data Analytics projects are different

Scope fluidity

Business case certainty

Focus specificity

Initiation and progression

Learning tolerance

Data complexity

Functional transaction processing

Defining unique success criteria

Creating an Explore, Validate, Amplify framework for Big Data Analytics projects

Explore

Building use cases

Identifying data sources

Ingressing data

Deciding your analytics models

Applying analytical models on your selected data sets

Testing your hypothesis

Validate

Identifying more data sets

Retesting your use case

Identifying adjacent data types, sources, and data sets

Refining and extending your use case.

Validating your modified use case

Identifying output data needs

Amplify

Building an enterprise data model

Refining the ingress process

Developing a functional user prototype

Developing repeatable analytical algorithms

Developing an application package

Hosting your data and application

Developing a user guide

Developing a communication package

Establishing a governance model

Treating customer-facing applications differently

Intellectual property protection

User experience excellence

A comprehensive approach for building an organizational Big Data Analytics infrastructure

The enterprise data map

The enterprise data ingestion infrastructure

Scalable data storage

The analysis engine

Benefits map

The platform framework

Chapter 4: Building the Right Technology Landscape

Designing Big Data storage

Evolution of storage technology

Big Data storage architecture

Big Data storage calculations

The hardware and operating system needs for Big Data

Identifying the different technology layers

Quality check

Cleansing

Correlation

Enrichment

Data cataloging

Modeling for analysis

Classification and clustering

Statistical summary for preliminary insights

Human explorations

Selecting from your technology choices

An overview of key Big Data technology components

Hadoop

MapReduce

Programming languages

NoSQL

Other Hadoop components

Technology choices by layers

Making the right technology choices

Creating a visualization of your Big Data

Understanding the difference between Enterprise Data Warehouse and Big Data

Chapter 5: Building a Winning Team

Understanding the distinctive skills you need

Data scientist

Skills of a data scientist

Sourcing data scientists

Experimental analyst.

Skills of an experimental analyst

Sourcing experimental analysts

Application developer

Skills of an application developer

Sourcing application developers

Infrastructure specialist

Skills of an infrastructure specialist

Sourcing infrastructure specialists

Change leader

Skills of a change leader

Sourcing the change leader

The project manager

Skills of a project manager

Sourcing the project manager

Defining the team and structure

Building an extended ecosystem

Educational institutes

The engagement framework

Best practices

Consulting organizations

Improving team alignment and performance

Training and orientation

Quick wins

Rotational leadership

Motivating your team towards progress

Chapter 6: Managing Investments and Monetization of Data

Understanding how data creates value

Insights and influence

Immediate and future value

Value creation for data

Capturing the value of data

Identifying the value

Building a value catalog

Understanding and capturing your Big Data costs

Data collection costs

Storage and processing costs

Software licensing costs

People costs

Infrastructure and administrative costs

Maintenance costs

Capturing the costs

Cost Context Framework

Monetizing your Big Data

Direct business impact

Selling data externally

Valuation of Big Data

Managing your Big Data investments

Chapter 7: Driving Change Effectively

Understanding changes caused by Big Data

The significance of changes

Applying the IMMERSE framework to manage change

Identify

Modulate

Mitigate

Educate

Role play

Show

Effect

Creating stakeholder groups to drive change

Project group

Work group

Review group

Summary.

Chapter 8: Driving Communication Effectively

Identifying your communication needs

Communicating with the internal audience

Providing a general overview of Big Data

Sharing the strategic cascade

Communicating with the external audience

Engaging with customers

Swaying the business influencers

Roping in your ecosystem partners

Communicating with the shareholders

Selecting your communication channels

Communication channels

Channel effectiveness

Building your communication strategy

Building your communication plan

Engaging executives effectively

Monitoring and modulating your communication program

Effectiveness metrics

Measuring effectiveness

Notes:

Bibliographic Level Mode of Issuance: Monograph

Description based on publisher supplied metadata and other sources.

ISBN:

1-78300-099-6

OCLC:

894628586