Webinar - Big Data: Power to the User

Post on 15-May-2015

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What is the value of big data? How does a user get that value? Before, analysts would have to wait months relying on IT for a new report or make changes to an existing one. Now, analysts are able to shrink that time down to days or even minutes. On top of that, analysts can ask questions that were not possible before. In this webinar, we’ll show you how this analysis is possible and the value that has been achieved by customers. In this session, you will learn: How analysts get value out of big data How to visualize data at every step of analysis How analysts can do big data analytics without IT, in one product

Transcript of Webinar - Big Data: Power to the User

Easier, Faster, Smarter

View Recording You can view the recording of this webinar at:

http://info.datameer.com/Online-Slideshare-

Big-Data-Power-to-the-User-OnDemand.html

About Our Speaker Karen Hsu @karenhsumar With over 15 years of experience in enterprise software, Karen Hsu has co-authored 4 patents and worked in a variety of engineering, marketing and sales roles. Most recently she came from Informatica where worked with the start-ups Informatica purchased to bring data quality, master data management, B2B and data security solutions to market.  Karen has a Bachelors of Science degree in Management Science and Engineering from Stanford University. 

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Agenda ■ Business Value of Big Data Analytics ■ Technology ■ Example ■ Q&A

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Business Value of Big Data Analytics

Customer Analytics

Fraud & Compliance

EDW Optimization

Operational Analytics

Increase Customer

conversion by 3x

Identify $2B in potential fraud

98% OpEx savings $1M+ CapEx

savings Save $22,000 /

minute

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© 2013 Datameer, Inc. All rights reserved.

How We Think About Big Data BEFORE! TODAY!

Human Capital Human Capital Cost

Hardware Costs Hardware Costs

Low Data Complexity High Data Complexity

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Time for Decision

Time to Insight

The Problem!

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BI vs. Big Data Analytics!

ETL Data Warehouse Business Intelligence

Slow! Static! Complex!

18 months

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BI vs. Big Data Analytics!

ETL Data Warehouse Business Intelligence

Raw Data! Flume/Sqoop/Hive! Database/Tableau!

12 months

Fast! Dynamic! Simple!

Raw Data Hadoop Drag & Drop Spreadsheet

Less than 4 weeks

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Big Data Ecosystem & Evolution

Infrastructure

Platform

Hardware

Vertical Solution

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Use Case Categories!

Customer Analytics

Fraud Compliance

Operational Analytics

EDW Optimization

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Lean Analytics Process

1. Integrate!

3. Analyze!

4. Visualize! 2. Prepare!Identify!

Use Case! Deploy!

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Product

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Wizard-led Data Integration! Point-and-click Analytics!

Self-Service Big Data Analytics!Drag-and-Drop Visualization!

•  No ETL!•  50+ Connectors + plug-in API!

•  Spreadsheet UI!•  240+ pre-built functions!

•  HTML5 support!•  View on any device!

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Add-on: Smart Analytics!

Drag & Drop Smart Analytics

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Enterprise Integration!

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Example

1. Integrate

3. Analyze

4. Visualize 2. Prepare Identify

Use Case Deploy

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Integrate

3. Analyze

4. Visualize 2. Prepare

1. Integrate Identify

Use Case Deploy

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Prepare

1. Integrate

3. Analyze

4. Visualize Identify Use Case Deploy 2. Prepare

Profile Identify Outliers Enrich Convert Transform

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Analyze

1. Integrate

4. Visualize 2. Prepare Identify

Use Case Deploy 3. Analyze

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Visualize

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1. Integrate

3. Analyze

2. Prepare Identify

Use Case Deploy 4. Visualize

Deploy

1. Integrate

3. Analyze

4. Visualize 2. Prepare Identify

Use Case Deploy

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Addressing Data Scientist Challenges in Workflow

Multiple tools One platform

Reproduce results Collaborate + Track

Not for business Ease of Use

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Contact

Learn more

For more information

@karenhsumar khsu@datameer.com

http://www.datameer.com/solutions/use-cases.html

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