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Analytic Independence Roadshow - James Lewin of National Instruments: Applying Analytic Independence

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ni.com | NI CONFIDENTIAL Applying Analytic Independence June 25, 2015 James Lewin
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ni.com | NI CONFIDENTIAL

Applying Analytic IndependenceJune 25, 2015

James Lewin

2ni.com

3ni.com

James Lewin

Principal Business Intelligence Analyst

National Instruments

• Current responsibilities include the conceptualization, design and execution of analytical projects around NI’s customer base and behavior, product portfolio, and performance management at the enterprise level.

• Support Corporate Leadership, Finance, Product Marketing, and R&D organizations and previously led the Information Delivery team.

MBA Economics

26+ Yrs

4ni.com

NI BI Ecosystem

Finance

Sales & Marketing

Mfg

R&D

Business Intelligence

Data Warehouse

Specialized / Localized Teams

BusinessIT

Data Acquisition & Transformation

Analysis & Modeling

InformationDelivery

Toad

SPSS

OBIEE

Alteryx [late-2014]

IBM Modeler [before 2005]

Tableau

Excel

Ad

van

ced

An

aly

tics

An

alys

ts R (Advanced Analytics)

Corporate Leadership

Ora

cle

ER

PO

racl

e

Pro

ject

sSa

lesf

orce

Web

Spre

adm

arts

/

Mis

cella

neo

us

. . .

Rep

ort

s |

Das

hboa

rds

| R

esea

rch

& A

na

lysi

s M

od

els

Sou

rce

Da

ta

Rouge Rouge Rouge

5ni.com

Analysts face Headwinds…

o Ambiguous / open-ended problem definition

o Changing requirements / expanding scope

o Challenging / “stretch” requests

o Multiple / disparate sources

o Multiple platforms / formats

o Missing / non-existent dimensions or measures

o Speed of change ≠ Speed of demand

Stakeholders

Data

6ni.com

...Wait ...Be Dependent ...Accept Limitations

Analysts Cannot Afford to...

Approach Tools

...Construct ...Take Control ...Adapt

Analysts Need to...

7ni.com

Analysts Assert Independence…

Stakeholders

Data

SQL (Acquire) Alteryx (Blend, Profile, Transform) Tableau (Analyze, Communicate)

8ni.com

How Alteryx is being EmployedAnalyticalData Sets

AnalyticalResearch

Report / Self-serve Tool Data

Goal

Approach

Alteryx Tools

Benefits

Examples

Build a comprehensive data set that supports analytics

Execute complex analytical research addressing key

business problems / issues

Build data structured for reporting or self-serve tools

not supported by existing infrastructure

o Blendo Create value-add fieldso Share Outputs

o Leverage analytical data setso Transform for specific researcho Create multiple outputs from

single workflow

o Aggregate datao Optimize output for information

delivery solution

o Input Data (SQL, Excel)o Output Data (.tde, .yxdb)o Formulao Join / Multi-Join / Union

o Multi-Row Formulao Running Totalo Multi-Field Binning

o Summarizeo Transpose

o Profile / Validate / Understando Modularityo Scalability / Repeatabilityo Governance

o Agility and adaptability through discovery process

o Create value-add fields specific to research

o Vet solution w/business for valueo Foundation for requirementso Prototype solution before heavy

IT investment

o Bookings / Billings Fully Loadedo “Future State” Data

o Product Portfolio Analyticso Customer Base / Behavior

Analyticso Forecast Development Tool

9ni.com

Examples – Data Import

Validation at key

transformations

Visibility to

Join Results

Instantiate

; Rename;

Reorder

Sources:

SQL; .yxdb,

Excel

Union

Join

10ni.com | NI CONFIDENTIAL

Example – Research Specific Data

Value-add

Calculations

Group by,

Aggregatio

n

Running

Total

Multi-Row

Function

Multi-Join

11ni.com | NI CONFIDENTIAL

Value-add

Calculations

Multiple output

formats from one

workflow: .tde, .yxdb,

.sav, .csv

Group tools and

create modules –

replicate

Example -- Outputs

12ni.com

Experience from the front lines…Realized Benefits from

Alteryx• Combined SQL | Alteryx | and Tableau to materially increase my agility and

efficiency: modularity; prototyping & vetting solutions; numerous Alteryx tools; outputs in native formats.

• Enables faster data profiling and validation throughout the development process.

• Increase in processing speed results improved and expanded solutions.

• Enables governed data discovery through multiple analysts leveraging created data sets.

• Supports skunkworks type activities, expanding analytical capabilities

13ni.com

Thank you….

…Questions?


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