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Cloud

Computing

Business

Intelligence

Enterprise

Mobility

User

Experience

Customer

Relationship

Management

Custom

Application

Development

Managed

Services

Application

& Systems

Integration

Portals and

Collaboration

Ideation

Engagement

Management

Business

Analysis

Accelerating Modernization Across the Enterprise


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Today’s Agenda:

Morning: For business managers, architects, developers, analysts and data scientists.

10:00 AM – Registration

10:30 AM – Big Data Use Cases

12:00 PM – Lunch & Registration for Afternoon Sessions

Afternoon: A Deeper Dive: For architects, developers and data scientists.

1:00 PM – Understanding Apache Hadoop

2:00 PM – Big Data Solution Deployment Models

3:00 PM – Advanced Analytics Architectures

4:30 PM – Open Q&A


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Upcoming Roadshow Stops:

www.neudesic.com/bigdataday

Orange County: Wednesday, August 19th

Los Angeles: Thursday, August, 20th

Philadelphia: Tuesday, September 22nd

New York: Wednesday, September 23rd

Denver: Wednesday, October 14th

Seattle: Wednesday, October 21st

Portland: Thursday, October 22nd

Chicago: Tuesday, November 10th

Dallas: Wednesday, December 9th

Houston: Thursday, December 10th

Phoenix: Wednesday, January 20th, 2016


Today’s Presenters:

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Intro to Big Data AnalyticsPresented by:

Tom Marek

Senior Solution Partner

Twitter: @twmarek


“Information is the oil of the 21st century, and

analytics is the combustion engine.”

~ Peter Sondergaard


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How many of your organizations are using Hadoop?

How many of you in this room have used Hadoop?

How many of your organization use cloud services?

How many of you have a use case in mind now?

Questions


Forces Challenging the Traditional Data Warehouse Approach


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“From the beginning of recorded time until 2003, we created 5 exabytes of data (5 billion gigabytes).

In 2011 the same amount was created every two days.”

~ The Human Face of Big Data (Rick Smolan, Jennifer Erwit)

Increasing Data Volumes


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• Clickstream

• API Economy

• Twitter / Facebook

• Insert newest Social site

Internet / Social Data


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• Wearables

• Smart meters

• Machine sensors

• Leak detectors

• Temperature gauges

Internet of Things


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• Call center calls

• Manufacturing line video

• Surveillance video

• Police cameras

• Sports video

Audio and Video


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• Business needs change

• Self service has become the new standard

• ETL is too slow

Speed of Business


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New Technologies


History and Fundamentals of Big Data Processing


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• Prototypes aimed at improving Yahoo's search engine

• Originally called Nutch, now an Apache project

• Scaled better after publication of Google's File System and MapReduce papers, in 2003 and 2004 respectively

Yahoo! And Google


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Innovators


There has been a number of industry trends that have driven the need for and the adoption of Big Data:

The 3 V’s of Big Data

Volume Velocity Variety

40 Zettabytes of

data will be created

by 2020. 300

Times increase

from 2005

Most companies in

the U.S have at

least 100Tb of data

NYSE captures

1TB of trade

information every

day

The average

modern car has

over 100 sensors

Nearly 420 Million

wearable health

monitors

Over 4 Billion

hours of video

watched on

YouTube everyday


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• Do you have a data driven culture?

• Utilize Neudesic’s “ROI Focused Development Approach.”

• User adoption must be a focus.

ROI Should Drive Your Next Step


So

ph

istica

tio

n o

f U

se

rIncrease adoption by exposing the right data through the right tools

User Adoption

Social

Marketing

Global Market

Research

New Product

Research

Competitive

Analysis

Pricing & Risk

Management

Marketing

Analyst

Market

Analyst

Product

Analyst

Customer

Support Finance

CxO’s

Customer

Analysis

Product

Support Sales Operations

Access to Hadoop / Data Feeds & Advanced Data Visualization Tools

Access to Semantic Models & Self-Service BI Tools

Data Alerts, Structured Reports & Dashboards

Volume of Data


Popular Use Cases for Big Data Analytics


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• Have you outgrown your data delivery SLAs?

• Get the right data at the right time.

Use Case: ETL Offloading


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• What can we do with all of this data?

• Mine for answers, one question at a time.

Use Case: Iterative Exploration


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• Are your self service reports only telling half the story?

• Quickly deliver large datasets for ad hoc analysis.

Use Case: Self Service


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• What action does your IoT device drive?

• Help guide the buyers of the device to the action they are looking to take.

Use Case: IoT


Neudesic’s Offer: Find Your Quick Wins!


ROI Focused Development

APPLICATION ISSUE MONETARY ROI NON-MONETARY ROI

SALES STATUS

REPORTS

100 sales people worldwide manually

creating status reports (2 hours each

week)

Hourly wages recovered pay

for this in 5 weeks

Sales force more focused on selling

DEVICE MONITORING Equipment failure prediction for

devices across the US, with over

500M monitored devices

Limit warranty events

proactively and in doing so

lower cost of each interaction

by approx. $250 per event

Improved customer experience

TEAM STRENGTH &

RETENTION

Unwanted attrition % Team Strength Avoid unwanted attrition for 3

people: Recruiting $2k

Interviewing $2k, 2 weeks of

lost productivity = $14k

Prevent unwanted attrition; mitigate loss of

additional team members preventing additional

losses in productivity, recruiting, domain

knowledge, customer satisfaction, external

branding impacts, etc.

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ROI Focused Development

Sales Status Reports: Example ROI Calculation

100 [sales people] x

2 [hours per week] x

$35 [salary per hour] x

$7000 [cost each week]

52 [weeks per year] x

$364K [ROI for first year]

$20k [weeks per year] -

$344K [ROI minus cost]

APPLICATION BUSINESS VALUE FEASIBILITY ROI MINUS COST

SALES STATUS

REPORTS

7 9 $344k

DEVICE

MONITORING

9 3 $7M

TEAM

STRENGTH &

RETENTION

4 6 $140k

Device Monitoring: Example ROI Calculation

500M [all devices]

0.3% [failures per year] x

1.5M [warranty events]

2% [preventative fix] x

30k [cost effective warranty event]

$250 [savings per event] x

$7.5M [ROI for first year]

$500k [weeks per year] -

$7M [ROI minus cost]

Team Strength & Rentention: Example ROI Calculation

1000 [employees] x

2% [attrition saved] =

20 [employees saved per year] x

$2k [recruiting] x

$2k [interview time lost] x

$10k [lost productivity] =

$280K [ROI for first year]

$140k [cost for development] -

$140k [ROI minus cost]

The “Business Value” is provided by the business end users with a 10 being the highest

The “Feasibility” is provided by the technical team with a 10 being the most feasible


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Find Your Quick Wins

Device

Monitoring

Team Strength &

Retention

Sales Status

Reports

Quick Wins


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Next Step: Become the BI Superhero

Information Management

Big Data Storage

Apache Hadoop

Real-time intelligence

Machine learning

IoT

Dashboards and Visualizations

and more!

Ideate, chart your “quick wins,” ask questions and get answers to your real Big Data challenges. It’s insightful, it’s

easy and can be done from the comfort of your conference room

www.neudesic.com/meetneat

http://www.neudesic.com/meetneat


Questions?

Tom Marek

[email protected]

Twitter: @twmarek

Orion Gebremedhin

[email protected]

Twitter: @oriongm

© copyright 2014, neudesic. all rights reserved.$2k [interview time lost] x $10k [lost...

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