mulighetene med sas visual analytics 7.1 integrasjon … · 2016-03-11 · copyright © 2014, sas...
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MULIGHETENE MED
SAS VISUAL ANALYTICS 7.1
–
INTEGRASJON MOT VISUAL
STATISTICS OG MS OFFICE
SAS VISUAL ANALYTICS
1
Vegard Hansen, Senior Analytiker SAS Institute
SAS FANS, Stavanger, 4.mars 2015
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Forvirret?
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«One great virtue of good graphical representation is that it can serve
to display clearly and effectively a message carried by quantities
whose calculation or observation is far from simple.»
John Tukey
«Often the most effective way to describe, explore and summarise a
set of numbers – even a very large set – is to look at pictures of those
numbers.»
Edward R. Tufte
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SAS VISUAL ANALYTICS 7.1 (SAS 9.4)
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AGENDA
• Kort presentere SAS Visual Analytics
• Muligheter i SAS Visual Analytics 7.1
• Guidet analyse….
• SAS Visual Statistics 7.1
• SAS Add-Inn for Microsoft Office
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SAS®
VISUAL
ANALYTICSHVA ER SAS VISUAL ANALYTICS?
• WEB-GRENSESNITTET
Administration Explore, discover and visualize Distribute
DISTRIBUTIONADMINISTRATION EXPLORER DESIGNER
• Web
• SAS Mobile BI
• MS Office & SharePoint
• PDF, Excel, CSV
• Prepare and load data
• Administrate
• Monitoring
• Perform ad-hoc analysis &
data discovery
• Guided analytics
• Create reports and
dashboards
• Distribute content
• Interactive reports
SAS® LASR™ ANALYTIC SERVER
En løsning for data visualisering,
utforskning av data og guided analyse
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SAS®
VISUAL
ANALYTICSKONSEPT
?VARFÖR
Enkel
Visualisering
Drillbare
Visualisering
(Pivot)
Alarmer/
Alerts
Interaktive
Visualiseringer &
Rapporter
(Dashboards)
Data Visualisering
& Utforskning
Tidsserier
Hva er nåværende
trend?
Forstå Hvorfor
Hva påvirker hva?
Simulere
Hva skjer hvis….?
HVA?
HVORFOR?
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THE ANALYTICS LIFECYCLE – Analytics factory
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SAS®
IN-MEMORY
STATISTICS
PORTFOLIO
INTEGRATED USER EXPERIENCE AT SCALE
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SAS® VISUAL
ANALYTICSKOMPONENTER
Administrere Utforske, oppdage og visualisere Distribuere
DISTRIBUSJONADMINISTRASJON EXPLORER DESIGNER
• Web
• SAS Mobile BI
• MS Office & SharePoint
• PDF, Excel, CSV
• Skedulere
• Dataprep og last av data
• Administrere
• Monitorere/overvåke
• Utføre ad-hoc analyser &
utforske data
• Guidet analyse
• Lage rapporter og
dashboards
• Interaktive rapporter
• Distribuere innhold
SAS® LASR™ ANALYTIC SERVER
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LAGE RAPPORT
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SAS VISUAL
ANALYTICS
DESIGNER
• Lage rapporter och dashboards
• Enkelt och innovativt grensesnitt
• Importere objekt fra utforskning
• Mulighet for å benytte flera datakilder i samme rapport
• Importere lokale data ved behov
• Rapportfaner
• Rapport interaksjoner
• Mellom rapportobjekt, filter, seksjoner och eksterne applikationer
• Lage beregnede variabler
• Fordefiniere beregninger før periodisering
• Distribuere rapporter via e-mail (PDF)
• Skape hierarkier når du behøver
• Visningsregler
• Anvende skapende grafobjekt
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SAS VISUAL
ANALYTICS
DESIGNER
STEG FOR Å LAGE EN RAPPORT
• Dette er de typiske steg for å lage en rapport:
1. Velg datakilde og sett egenskapene på dataene.
2. Legg til rapportelementer i arbeidsområdet.
3. Legg til data/variable til rapportelementene.
• Eventuelle “tilleggssteg”:
• Administrere egenskaper og stil.
• Opprette visningsregler, rangeringer og filtre
• Legg til interakasjoner mellom rapport objekter.
• Legg til linker i rapportobjekter
• Legg til nye seksjoner i rapporten
• Definer alarmer og post kommentarer
• Lagre rapporten …
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UTFORSKE DATA
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• Utforskning och analysering av data
• Ad-hoc konsept – velg og utforsk dine data
• Visualisere och finne mønster, sammenheng og svar på forskjellige spørsmål
• Autovisualisering – en bra måte å komme i gang på
• Ulike visualiseringsobjekt: Tabeller, linjediagram, stolpediagram, punktdiagram,
boblediagram, histogram, box plot, varmediagram, kart, rektangeldiagram,
korrelasjonsmatrise, beslutningstre, nettverksdiagram og wordcloud.
• Innstillingsmuligheter gir stor variasjon i visualiseringsobjektene
• ”Guided Analyse”
• Valg av analytiske algoritmer dokumenteres
• Inkluder och ekskluder data i utforskningen
• Interaktive filter
• Lage hierarkier når du behøver det (OLAP behøves ikke)
• Importere lokale data
• Exportere detaljdata og utforskninger
• Spar och del eksploreringer/utforskninger
• Importere vizualisering/utforskning till Designeren ( lage rapport)
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SAS VISUAL
ANALYTICS
EXPLORER
GUIDED ANALYSE
• Visualisering av beskrivende statistikk
• Korrelasjonsanalyse
• Regresjonsanalyse
• Tidsserieanalyse (Prognose)
• Scenariosimulering
• Simuler din prognose med andra underliggende faktorer
• Goal-seekingkonsept
• Beslutnings tre
• Finne sammenheng og mønster som beskriver en målvariabel
• Nettverksdiagram
• Sankey Diagram
• Tekstanalyse (Word Cloud) & Sentimentalanalyse
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MICROSOFT OFFICE INTEGRATION
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SAS® VISUAL
ANALYTICS
INFORMASJONDELING OG DISTRIBUSJON AV RAPPORTER
OG UTFORSKNING
• Lagrede rapporter kan anvendes i ulike grensesnitt/applikasjoner
• Web
• Add-in for Microsoft Office (Outlook, Excel, Word, PowerPoint, SharePoint)
• Mobile enheter (iPad and Android)
• Eksportere til PDF, Excel and CSV
• Skape automatiserte Excel, Word or PowerPoint dokument
• Sikkerhet
• Mobile enheter: Whitelist and Blacklist
• Logging
• Data og radsikkerhet
• Interaksjoner følger med
• ”Mobile Preview” i designer
• Kommentere rapporter og rapportinnhold
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SAS® VISUAL
ANALYTICSADMINISTRASJON, DATA PREP OG MONITORERING
Administrere Utforske, oppdage og visualisere Distribuere
DISTRIBUSJONADMINISTRASJON EXPLORER DESIGNE
• Web
• SAS Mobile BI
• MS Office & SharePoint
• PDF, Excel, CSV
• Skedulere
• Dataprep og last av data
• Administrere
• Monitorere/overvåke
• Utføre ad-hoc analyser &
utforske data
• Guidet analyse
• Lage rapporter og
dashboards
• Interaktive rapporter
• Distribuere innhold
SAS® LASR™ ANALYTIC SERVER
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SAS® VISUAL
ANALYTICS
Dataprep og administrasjon
• The basics of data preparation and loading
• Different methods preparing & loading data
• Aministrasjon av miljøet
HÅNDTERING AV MILJØET I VA
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SAS®
VISUAL
ANALYTICSFORSKJELLIGE METODER FOR DATAPREP OG LAST AV DATA
Direct Import in VA Data Builder Enterprise Guide Data Integration Studio SAS Code
Sluttbruker Superbruker Utvikler / Data Scientist
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SAS®
VISUAL
ANALYTICSADMINISTRASJON AV TILGANG TIL DATA OG INNHOLD
Administrator - Manage Environment Monitor Environment
Resources (CPU, I/O, Memory)
Processes (user session focused)
Mobile device logging history
Usage reports
Manage Server and Data
Start/stop in-memory servers
Load/unload tables to/from memory and data storage
Register tables in metadata
Control memory usage (over capacity)
Manage Security
Table and row level security
Mobile device blacklisting and whitelisting
Manage Alerts
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SAS VISUAL STATISTICS
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SAS®
VISUAL
STATISTICSFUELING THE ANALYTICS LIFECYCLE
SAS® Visual Statistics
TEXTCOMPETITIVE
ADVANTAGE
MANAGE
DATA
EX
PL
OR
E
DA
TA
EXPLORE &
DEVELOP MODELS
DE
PL
OY
&
MO
NIT
OR
SAS® Visual Analytics
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SAS VS 7.1 WHAT IS SAS VISUAL STATISTICS?
• Er en “add-on” til SAS Visual Analytics
• SAS Visual Analytics Explorer enables you to explore, investigate, and
visualize data sources to uncover relevant patterns.
• SAS Visual Statistics extends these capabilities by creating, testing, and
comparing models based on the patterns discovered in the explorer.
• Can export the score code, before or after performing model comparison,
for use with other SAS products and to put the model into production.
EXPLORE AND
DISCOVERPREDICT AND
REFINE
COMPARE AND
ASSESS
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SAS VS 7.1 BENEFITS OF USING SAS VISUAL STATISTICS
• Enables you to rapidly create powerful statistical models interactive.
• It provides a model comparison tool.
• Model comparison tool enables you to evaluate the relative performance
of two or more models against each other and to choose a champion
model.
• A wide variety of model selection criteria is available.
• Regardless of whether you choose to perform a model comparison, you
are able to export model score code for any model that you create.
• With exported model score code, you can easily apply your model to
new data.
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SAS VS 7.1
ANALYTISKE KAPABILITETER HVORDAN KAN DEN BENYTTES?
Classification Predict outcomes using causal factors -,
churn, campaign response, part failure
Regression Estimate outcomes using causal factors
- spend, policy premium, credit limit, etc.
Clustering Segment data based on self-similarity –
risk, profitability, demographic, etc.
Group-By Models by segments/groups (e.g.
location, store, owner, device, etc.).
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•Analyze and explore all data.
•Cluster data and explore segments
•Create new variables including interactions. between variables.
VISUALIZE
•Quickly setup and evaluate predictive models•Gauge relevance of potential inputs.•Use group-by functionality to test benefits of modeling at the segment level.
PROTOTYPE •Separate data into training, validation and test in order to control model performance
•Explore data using statistical techniques such as factor analysis and clustering
SAMPLE & EXPLORE
•Create, select and transform variables to focus the model selection process
•Generate models based on prototypes, add additional model types and ensembles
MODIFY & MODEL •Perform final
model assessment
•Generate optimized score code
•Automatically register model in metadata for use in downstream operatioanl deployment
ASSESS & DEPLOY
SAS®
VISUAL
STATISTICS AND
SAS®
ENTERPRISE
MINER
VISUAL STATISTICS OG PREDIKTIVE SAS VERKTØY (SAS
ENTERPRISE MINER)
SAS® Enterprise MinerStructured Analytical Process for Operational Deployment
SAS® Visual /Analytics & StatisticsInteractive Visualizations and Rapid Model
Prototyping
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SAS VS 7.1
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SAS®
VISUAL
ANALYTICS
TEXT SENTIMENT ANALYSIS GIVES YOU INSIGHT TO
CUSTOMER EXPERIENCE, OPINION AND SENTIMENT
VISUALIZATION POWERED BY
SAS ANALYTICS
Analytics applied to text provides
real MEANING
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SAS®
VISUAL
ANALYTICS
PATH ANALYSIS SHOWS HOW ENTITIES MOVE THROUGH A
SYSTEM
VISUALIZATION POWERED BY
SAS ANALYTICS
• What is my customer journey?
• What paths are successful
on my website?
• Where did my budget go?
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SAS®
VISUAL
ANALYTICSFORECASTING OPTIMIZATION – GOAL SEEKING
VISUALIZATION POWERED BY
SAS ANALYTICS
Use Goal Seeking to adjust the
forecast and see the optimized
changes to the supporting
variables.
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SAS®
VISUAL
ANALYTICSFORECASTING OPTIMIZATION – SCENARIO ANALYSIS
VISUALIZATION POWERED BY
SAS ANALYTICS
Use Scenario Analysis to make
adjustments to independent
variables and see the impact to
the forecast