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Introduction to Tableau January 21, 2015 DATA VISUALIZATION
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Introduction to Tableau January 21, 2015 DATA VISUALIZATION.

Dec 21, 2015

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Liliana Jacobs
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Page 1: Introduction to Tableau January 21, 2015 DATA VISUALIZATION.

Introduction to Tableau

January 21, 2015

DATA VISUALIZATION

Page 2: Introduction to Tableau January 21, 2015 DATA VISUALIZATION.

AGENDA

• Why are we here today?• Journey of Business Intelligence (BI)• What is Tableau?• DEMO• Closing notes

Page 3: Introduction to Tableau January 21, 2015 DATA VISUALIZATION.

WHY ARE WE HERE TODAY?

• Yale’s need to leap into next generation Business Intelligence (BI)

• Provide self-service intuitive interfaces for visualizing collected data

• Take the mundane tasks of technology and put it on a fast track to data visualization

• Give you back time to do what really matters

Page 4: Introduction to Tableau January 21, 2015 DATA VISUALIZATION.

WHY ARE WE HERE TODAY?

• We need to be• Decision Driven• Supported by factual evidence in data

Page 5: Introduction to Tableau January 21, 2015 DATA VISUALIZATION.

THIS IS HOW WE READ REPORTS

Page 6: Introduction to Tableau January 21, 2015 DATA VISUALIZATION.

THE GOOD OLD DAYS

Page 7: Introduction to Tableau January 21, 2015 DATA VISUALIZATION.

THEN CAME GRAPHS (OUR USE MATURED)

Page 8: Introduction to Tableau January 21, 2015 DATA VISUALIZATION.

LET’S STATE THE OBVIOUS

• Technology has matured• Our use has matured• Our needs have evolved

• As humans, • we are wired to learn faster visually than any

other means• we need tools that relate closely with our Natural

Senses to understand the world around us• we like the phrase,

• “A Picture is worth a 1,000 words!”• A Case for data visualization

Page 9: Introduction to Tableau January 21, 2015 DATA VISUALIZATION.

WHAT IS DATA VISUALIZATION

• A clear portrayal of complex relationships• with insight in behaviors, not pictures• it is no longer a function of the specialists

• WHY is it IMPORTANT?• Speed - time to value• Empowers business users• Enables self-driven data discovery• IT does what it knows best, you do what you

know best

Page 10: Introduction to Tableau January 21, 2015 DATA VISUALIZATION.

ACTUAL CUSTOMER REQUIREMENTS

Our users are traditionally used to a lot of reporting services reports - is there an elegant way to connect Tableau with reporting services and automatically pass parameters and data between the two?

Can I set up data driven alerts which trigger emails and/or other behavior? Can we schedule email of a dashboard without a data driven event?

Can I get a 3D bar chart or pie chart?

It seems that I can apply gradient color on tables. Can I just apply it just on specific columns, instead of the whole table?

Do you have an excel plugin to use PivotTables in Excel on your data?

Report bursting Ability to send the reports across to multiple Users.Exports to Other Formats( PDF, Excel, PDF,CSV, etc)

Data view to be exported to various format for in-depth Analysis

export interactive PivotTables Ability to export interactive PivotTables to Excel

Page 11: Introduction to Tableau January 21, 2015 DATA VISUALIZATION.
Page 12: Introduction to Tableau January 21, 2015 DATA VISUALIZATION.

WHAT IS TABLEAU

• A Self-Service BI tool (SSBI) that can render your data in quick, easy to consume way

• It takes the guess work out of many of the report generation tasks

Page 13: Introduction to Tableau January 21, 2015 DATA VISUALIZATION.

WHERE DOES TABLEAU FIT IN?

Tableau

Excel

R/Rattle UI

Alteryx trial available

LavastormFreemium+

“Free”

Open Source

Star SchemaArchive

Time SliceWhat-If

Real-Time

StatisticsPrediction

ExtractFederateTransformCleanseEnrich

Analyze Visually

ETL Advanced Analytics Data Mart Rapid BI

SourceSystems

SpatialEnrichment

& Operations

Spatial

* This list is an incomplete list. There are many solutions in the marketplace. Warehousing is an activity achieved along the way after ETL. This is merely representational.

ArcGIS CompositeSAS

Databases

Oracle SQL Server

Talend

Page 14: Introduction to Tableau January 21, 2015 DATA VISUALIZATION.

WHY TABLEAU

• Best of breed, industry leading and FUN data visualization.

• Unleashing business intelligence for the subject matter expert

• Use complimentary tools for:• Complex, unstructured data sources including

XML• Geocoding deeper than postal code• Generation of polygons for sales territories or

trade areas• Demographic and behavioral analysis• Advanced statistics using R

• Additional tools to perform ETL-like processes beyond the Tableau data re-shaper and to handle cleansing, MDM

Page 15: Introduction to Tableau January 21, 2015 DATA VISUALIZATION.

DEMO

Page 16: Introduction to Tableau January 21, 2015 DATA VISUALIZATION.

IN CLOSING

• Tableau is great but use with caution• There is no “One Size Fits All” in BI space• Other tools fit other needs• Make right decisions with the choice of tool to:

• fulfill the Highest Level Objective• weigh the ROI vs. Alternates• refocus evaluation

• There are Business Units within Yale already using Tableau (eg. Public Safety, Procurement etc.)

• Connect, Learn, Collaborate, Grow

• WAIT! there’s more

Page 17: Introduction to Tableau January 21, 2015 DATA VISUALIZATION.

UPCOMING DEEP DIVE SESSIONS

• for the curious eyes, we have 3 more sessions in the upcoming weeks

Topic Date Speaker Audience

Tableau User Workshop 2

Jan. 29, 2015 12PM to 1PM

Brilliant Associates

All

Tableau User Workshop 3

Feb. 4, 2015 9AM to 12PM

Brilliant Associates

All

Tableau Developer Workshop

Feb. 4, 2015 12PM to 1PM

Brilliant Associates

Tech

Page 18: Introduction to Tableau January 21, 2015 DATA VISUALIZATION.

YOUR CONTACTS @ YALE

[email protected] (x69892)• [email protected] (x64454)

• Amir Vastani• Talk - 866.829.8294• Text - Skype @ avastani• Web -

[email protected]

Page 19: Introduction to Tableau January 21, 2015 DATA VISUALIZATION.

QUESTIONS?

Page 20: Introduction to Tableau January 21, 2015 DATA VISUALIZATION.

THANK YOU!