accenture formula big data success infographic

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What’s the big (business) deal about 1. Types “What makes data Big?” “But in addition to type and source of the data, Big Data is about….” "And in addition to the technologies used to mobilize, manipulate, manage and analyze data, there are....2. Technologies “What Technologies are required to harness big data?” These can be data platforms and database management systems like HDFS, Oracle RDBMS, SQL Server and DB2. Or NoSQL or in-memory technologies like Cassandra, Hbase, Graph, Vertica, Gemfire, HANA and Aster. Or advanced analytics and data science tools like R, SAS, Predixion, Mahout, Pig and Python. Or even Visualization tools like Tableau, Pentaho, Qlickview and D3. “In addition to the math- and science-oriented techniques and tools to manipulate data, you need to consider….” Data Science Data Design Data Discovery Visual Design Advanced Analytics Big Data Architecture Social Network Analysis Quantitative Methods Master Data Management 3. Techniques “What techniques do I need to make data meaningful?” Accenture has a global integrated team of business professionals and highly-specialized advanced analytics talent to help you realize greater ROI and get the most out of big data for your business needs: “The variety of data Types inside and outside your organization” “The latest Technologies and Tools for analysis” “Conducted with the latest Techniques and methodologies” “The Talent able to help you realize greater ROI and more predictable business outcomes.” Data Scientists Management Scientists Developers Business Strategists System Architects Software Engineers Formula for Big Data Success: 4. Talent “What Talent do I need to turn big data into big outcomes?” Quantitative Analysts Visualization Designers “Big” can refer to the large amount of data from Terabytes to Petabytes, to Exabyte to Zettabyte to Yottabyte and beyond. Or refer to the data's source: social, mobile, machine-to- machine, telemetry or location. Or it can address the speed of data—lightning fast and getting faster all the time. It can also refer to complexity. What is the signal in millions of potential combinations? © 2013 Accenture All rights reserved. Speaking Analytics A Four-Step Formula for Big Data Success = Accenture Analytics

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Page 1: Accenture Formula Big Data Success Infographic

What’s the big (business) deal about

1. Types“What makes data Big?”

“But in addition to type and source of the data, Big Data is about….”

"And in addition to the technologies used to mobilize, manipulate, manage and analyze data, there are....”

2. Technologies“What Technologies are required to harness big data?”

These can be data platforms and database management systems like HDFS, Oracle RDBMS, SQL Server and DB2.

Or NoSQL or in-memory technologies like Cassandra, Hbase, Graph, Vertica, Gemfire, HANA and Aster.

Or advanced analytics and data science tools like R, SAS, Predixion, Mahout, Pig and Python.

Or even Visualization tools like Tableau, Pentaho, Qlickview and D3.

“In addition to the math- and science-oriented techniques and tools to manipulate data, you need to consider….”

Data Science

Data Design

Data Discovery

Visual Design

Advanced Analytics

Big Data Architecture

Social Network Analysis

Quantitative Methods

Master Data Management

3. Techniques“What techniques do I need to make data meaningful?”

Accenture has a global integrated team of business professionals and highly-specialized advanced analytics talent to help you realize greater ROI and get the most out of big data for your business needs:

“The variety of data Types inside and outside your organization”

“The latest Technologies and Tools for analysis”

“Conducted with the latest Techniques and methodologies”

“The Talent able to help you realize greater ROI and more predictable business outcomes.”

Data Scientists

Management Scientists

Developers

Business Strategists

System Architects

Software Engineers

Formula for Big Data Success:

4. Talent“What Talent do I need to turn big data into big outcomes?”

Quantitative Analysts

Visualization Designers

“Big” can refer to the large amount of data from Terabytes to Petabytes, to Exabyte to Zettabyte to Yottabyte and beyond.

Or refer to the data's source: social, mobile, machine-to- machine, telemetry or location.

Or it can address the speed of data—lightning fast and getting faster all the time.

It can also refer to complexity. What is the signal in millions of potential combinations?

© 2013 Accenture All rights reserved.

Speaking Analytics

A Four-Step Formula for Big Data Success

=

Accenture Analytics