how arizona state university moves data faster (242332129)

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How Arizona State UniversityMoves Data Faster

Kristin Kennedy

 Arizona State UniversityJason Morales

Microsoft

Patrick LeBlanc

Microsoft

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About ASU

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57,543 58,15661,033

63,278 64,39467,082 68,064

70,44072,254

2003 2004 2005 2006 2007 2008 2009 2010 2011

Fall Enrollments

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ASU

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ASU

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No More Excuses

http://www.educause.edu/ero/article/no-more-excuses-michael-m-crow-analytics 

―Without analytics, we can't un

going on, we can't understandof what we're trying to do, and

measure our progress. We ne

help us make better decisions

everything. How should we de

advising? How should we des

courses? How should we desipedagogical structure of the in

facet of the institution requires

analytics.‖ Dr. Michael Crow 

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ASU Leader in BI

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ASU’s Dashboards are Featured in

 ASU’s Dashboards are

Featured in Chapter of this

Book

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BI @ ASU

   D

  a   t  a   W  a  r  e   h  o  u  s  e   T  e  a

  m

ETL (DataStage)

ODS

EDW

   M  y   R  e  p  o  r

   t  s

Self ServiceQueryBuilding

HyperionInteractive

Reporting

   D  a  s   h   b  o  a  r   d  s

Web BaseCordaCenterview4.0

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Org Chart

AVPDevelopment

ProgramManager

ETL and DataIntegration

Manager DataWarehouse

ETL Develop(6)

Student Work(4)

Reporting andAnalytics

Support andTraining (2)

BI Developers

(3)

Analysts (2)

Student Worker(1)

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Why Change Toolsets?

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Tools End of Life

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Internal Feelings

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Use of My Reports

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Dashboard Feature

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Tools We Considered

• Microsoft• IBM Cognos

• OBIEE

• Tableau

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Microsoft BI

• We already owned it• We don’t have a dimensional data

warehouse

• User familiarity with the tools

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Change is Hard

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More than a New ToolsVision: 

To provide an accessible, easy to use, centralized Web-based reportthat facilitates efficient and rapid access to analysis of University datadata-driven decisions.

Objectives: 

• Increase Self Service so that all users can access University Dataneed to without any impediments to deeper analysis and acces

• New toolset will be widely adopted by the University with a broadof higher level University Executives.

• Maintain High level of established Customer  Service.

• Create user friendly access to metadata information about Univethat is accessible within the new reporting system.

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Before

BI Team

My Reports Dashboards

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After

Analytics

Support &Training

Developers Analy

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Self Service

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Self Service

• ―Information workers must become mosufficient by having a BI environment tmore usable and more consumable. It these two themes—usability andconsumability—that play crucial rolesfully functioning selfservice businessintelligence (SS BI) environment.‖ http://tdwi.org/articles/2011/11/09/research-excerpt-introduction-to-self-service-business-intellig

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My Reports = Self Servi

• Visual Query Building Tool•  Access to Data from around the Un

• Pre-Built Reports

• Batch Jobs

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My Reports

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Usability?

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Two Approaches?

• Centralized IT Development – Dashboards

• De-Centralized User Development

 – My Reports

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Dashboards

• Coded by BI Developers• Parameters as defined ahead of tim

• Why Export?

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Dashboards

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Managed Self Service

• Hybrid approach that centralizes thecomplexities but allows for de-centr

data exploration

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Microsoft BI

• Data Models – Analysis Services TaPowerPivot

• Interactivity  – PowerView, Perform

Point, Reporting Services, Excel Se

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Microsoft BI

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Benefits

• Data Warehouse is not Star SchemDimensional Model

•  Allows for Different Skill sets

 – Power Users can still build content•  Agile

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Widely Adopted/Customer Ser

What problem are we

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What problem are we

trying to solve?

• How many enrollments do we have?• How many graduates do we have?

• How many students came back?

• Why are they leaving?• … 

What problem are we

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What problem are we

trying to solve?

• How we can make data available fowhatever questions our users have?

• How can we make the data easy to

for non techies?• How do we teach them how to fish?

A t Q ti

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Answers to Questions

D ’t k h t d ’t k

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Don’t know what we don’t k

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S l ti

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Solution

• PowerPivot – Quick/Agile

 – Less Rules

 – Results Oriented

B fit

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Benefits

• Great Ideas sometimes not widelyadopted

•  Allows for Vetting of ideas

• Measures Adoption and University Nbefore implementing

W ’t S l All P bl

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Won’t Solve All Problem

• Start right away with PowerPivot/SSTabular

• For widely used or complex

Dimensions/Facts, add to the DataWarehouse as appropriate

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Metadata

Data Dictionary

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Data Dictionary

• Every time we meet with customersbrought up

• Why not a priority?

 – With limited resources, we focused momaking data available

 – Challenge to get this information from

Survey Results

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Survey Results

Survey Results

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Survey Results

Data Governance

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Data Governance

• Newly formed group at University• Buy a product?

• Project by itself

• Needed something simple

SharePoint Tools

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SharePoint Tools

• Business Connectivity Services (BC• SQL Server Database

• Metadata Extracts from all sources

 – Oracle, SQL Server, Sybase, Models

Centralized Repositor

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Centralized Repositor

• Out of the box forms for easy data e•  Automated Integration of data

• Import existing documentation in on

centralized place – Google Spreadsheets all over

Flexible

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Flexible

• If purchase a product later, can impdata collected

• Distributes work between Data

Warehouse, Analytics and Subject MExperts

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Out of the Box

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Out of the Box

Reportable

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Reportable

• By having the data in a centralizeddatabase, can now report in any wa

want

• Models will be included as well

Reportable

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Reportable

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Microsoft Implementation

Tools

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Tools

• SharePoint 2013

 – Performance Point – Excel Services

 – PowerView

• SQL Server 2012 –  Analysis Services Multidimensional (SSAS)

 –  Analysis Services Tabular (SSAS) –  Analysis Services for PowerPivot

 – SQL Server Integration Services (SSIS)

 – SQL Server Reporting Services (SSRS)

Tools

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Tools

• Office 2013

 – Excel

• PowerPivot

• PowerView

• Report Builder 3.0

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Environment

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Environment

Timeline

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Timeline

• December 2012 - Decision Made

• July 2013 – Proof of Concept EnvironmReleased

•  August 2013 – Began working on Authentication

• November 2013 – allowed PowerUsers/Analysts Access to Terminal Ser

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Lessons Learned

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Lessons Learned

• Prepare for the 5 stages of grief ifchanging toolsets

• Do not call things POC

• Start on/Push for Authentication firs

• Start early on Licensing – morecomplicated with third party

Live Demo

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Live Demo

Example of All Tools

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Example of All Tools

http://youtu.be/QFncM9P2Ykw 

9 minute video showing example of e

tool with Academic Data.

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Questions?

Kristin.kennedy.1@asu.edu 

Jason.morales@microsoft.com 

Pleblanc@microsoft.com