Download pdf - Instant Visualizations in Every Step of Analysis

Easier, Faster, Smarter

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Instant-Visualizations-in-Every-Step-of-Analysis-OnDemand.html!


Instant Visualization in Every Step of Analysis!

#datameer @karenhsumar @bigdata


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. !



Agenda!•  Data Scientist Challenges!•  Lean Analytics Process !•  Technology!•  Demonstration!•  Q&A!



Data Scientist Challenges in Analysis Process!•  Multiple tools!•  Unable to reproduce results !•  Not business friendly!



Lean Analytics Process and Metrics!


Data Scientist Workflow!

Integrate! Prepare! Analyze! Visualize! Deploy!Id Use Case!



Lean Analytics Process !

1. Integrate!

3. Analyze!

4. Visualize! 2. Prepare!Identify!

Use Case! Deploy!

!!



Identify Use Case!

Funnel Optimization

Behavioral Analytics

Fraud Prevention

EDW Optimization

Customer Segmentation



Codeless Data Integration Big Data Management

Integrate!



Prepare!

Uniqueness!

Accuracy!

Consistency!

Completeness!


Duplicates!


Data Profiling

Prepare!Transformation Enrichment



Analyze!Interactive Spreadsheet Collaboration + Governance Smart Analytics



•  Freeform Visualization Visualize Anywhere

Visualize!



Production Environment

Scientist’s Desktop

SAS, R, IBM SPSS, Perl,

Python

Java, .NET C, SQL

Lost in Translation

Predictive Deployment!

SAS, R, IBM SPSS …

Great for model building but not for scoring, even more

so when it comes to Hadoop



•  Security Scheduling Monitoring

Deploy!Reproducing Projects



Predictive Deployment!Model Building Model Deployment

and Execution

!   Angoss

!   BigML

!   FICO Model Builder

!   IBM SPSS

!   KNIME

!   KXEN

!   Microstrategy

!   Open Data

!   Pervasive DataRush

!   RapidMiner

!   R / Rattle !   SAS

!   SAP Business Objects

!   Salford Systems

!   StatSoft STASTISTICA

!   SQL Server

!   TIBCO Spotfire

!   Custom Code, etc.

Universal PMML Plug-‐in (UPPI)

PMML (models)

PMML (models)

PMML (models) PMML

Datameer Server

Deploy in minutes ...


Demonstration!



Demonstration Flow!

1. Integrate!

3. Analyze!


Use Case! Deploy!

!!



Identify Use Case!What are the trends linking website behavior to lead activity to revenue?!!How does website behavior affect churn? !


Integrate!


1. Integrate!

3. Analyze!


Use Case! Deploy!


Prepare!


1. Integrate!

3. Analyze!


Use Case! Deploy!

Profile!

Identify Outliers!

Enrich!

Transform!

Convert!


Analyze!


1. Integrate!

3. Analyze!


Use Case! Deploy!


Visualize!


1. Integrate!

3. Analyze!


Use Case! Deploy!


Predictive Deployment!Model Building Model Deployment

and Execution

!   Angoss

!   BigML

!   FICO Model Builder

!   IBM SPSS

!   KNIME

!   KXEN

!   Microstrategy

!   Open Data

!   Pervasive DataRush

!   RapidMiner

!   R / Rattle !   SAS

!   SAP Business Objects

!   Salford Systems

!   StatSoft STASTISTICA

!   SQL Server

!   TIBCO Spotfire

!   Custom Code, etc.

Universal PMML Plug-‐in (UPPI)

PMML (models)

PMML (models)

PMML (models) PMML

Datameer Server

Deploy in minutes ...


Deploy!

1. Integrate!

3. Analyze!


Use Case! Deploy!

!!



Addressing Data Scientist Challenges in Workflow !

Multiple tools!

Reproduce results!

Not for business!

One tool!

Collaborate + Track!

Ease of Use!



For more information!

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

!

!   @[email protected]!

Learn more!

Contact!


@Datameer!


!   PMML is an XML-based language used to define statistical and data mining models and to share these between compliant applications.

!   It is a mature standard developed by the DMG (Data Mining Group) to avoid proprietary issues and incompatibilities and to deploy models.

!   PMML eliminates need for custom model deployment and ensures reliability.

PMML defines a standard not only to represent data-mining models, but also data handling and data transformations (pre- and post-processing)

!Predictive Model Markup Language!

Models Data

Transformations
