government analytics leadership forum · application of one or multiple analytic techniques to find...

GOVERNMENT ANALYTICS

LEADERSHIP FORUMSAS Canada & The Institute of Public Administration of Canada

April 26 | The Shaw Centre | Ottawa

Copyright © SAS Inst i tute Inc. Al l r ights reserv ed.

The SAS® PlatformDiversity, Scale and Trust in an Open Analytics Platform


SAS Viya

Scale

Analytic

Personas

Forces

Shaping the

Analytics

Defining an

Analytics

Platform

Modern

Analytics

PlatformSAS & Open

Analytic

MaturityDiversity

TrustAnalytics

Lifecycle

Copyright © SAS Inst itute Inc. A l l r ights reserved.

DEFINING AN ANALYTICS PLATFORM


Productivity PlatformOperational Platform Analytics Platform

E R PS u p p l y

C h a i n

F i n a n c e

M R P

C R M H R

Enterprise platforms


Programing Procedures

Intelligence Platform Viya

Separate Tools

Word, Excel, PPTMS Office Office 365

1970 – 1980 1990 – 2000 2015

Copyr i g ht © 2017, SAS Ins t i tu t e Inc . A l l r ights reser ve d .

Organize Information summaries, samples, data mart

Add Business Context calculations, hierarchies, algorithms

Deliver Informationdashboard, report, score, model

QUERY ANALYZE FORMAT

Perform & Deliver Analytic Insights

Analytic

Data

Preparation

New Derived Columns

Data Sourcesoperational, transactional

THE EVOLVING ANALYTICS PARADIGM

model, graphic, visualization, self-service

method specific, external data, iterative

Enable Analytic Communities

Web/Mobile

In Memory

Cloud

Open

Publish Analytic OutputsClient Server

Enterprise

Standardized

Our digital transformation

to power the analytics economy


FORCES SHAPING THE ANALYTICS ECOSYSTEM



Cloud enabled

analyticsEveryone is a

data scientistMachine learning

and AI

Analytics of ThingsChanging data

landscape

The future of

analytics is open


THE FUTURE OF ANALYTICS IS OPEN

Open Government

Open Data

Open Source

WHAT DOES “OPEN”

MEAN TO YOU?


Today, citizens expect to be able to access

information and services electronically

when and how they choose to do so. The EconomistNovember 2015

“

”

OPEN

Open Data

Open Government


THE FUTURE OF ANALYTICS IS OPEN

AND

In the past…

• Limited analytics players (SAS)

• Analytics was back office or research

• Relied on a “Go-To” Guy aka the “Bottleneck”

• Disjointed silos of analytics expertise

Today…

• Common analytic languages– known to many

• Easier to get started and dabble with analytics

• Everyone is an analyst

• Analytics are mainstream

Open Source


SAS IS OPEN TO MORE USERS

Visual Interfaces

Programming Interfaces

Application Interfaces


Workers

Controller

SAS IS OPENP

rog

ram

min

g In

terf

aces

ANALYTICS ENGINE


Workers

Controller

proc print data = hmeq (obs = 10);

run;

df = s.CASTable(‘hmeq’)

df.head(10)

df <- defCasTable(s, ‘hmeq’)

head(df, 10)

[table.fetch]

table.name = “hmeq”

from = 1 to = 10

Translated Command

SAS IS OPENP

rog

ram

min

g In

terf

aces

ANALYTICS ENGINE


Visual

applications

SAS API EcosystemSAS Products & Solutions

CLOUD FIRST STRATEGY FURTHER SUPPORTS OPEN

APIsSolutionsProgrammingDeveloper

EditionApps

SAS Statistician

or Data MinerComputer

Scientist



Cloud enabled

analyticsEveryone is a

data scientistMachine learning

and AI

Analytics of ThingsChanging data

landscape

The future of

analytics is open


WHO DOES THE PLATFORM ENABLE?


WHAT DO THEY DO?

ANALYTICS PERSONAS

Focus on business context.

Answers questions.

Builds reports,

Interprets results.

Explores advanced analytic techniques.

Needs easy to use and flexible.

Uses wizards and templates

Performs Complex models.

Leverages machine learning.

Integrates new data.

Facilitates production ready data and analytics.

Integrates analytics into business processes.

Codes new applications.

Delivers embedded analytics.

Leverages APIs.

2 3 4 51

WHAT DO THEY DO?

Flexible, easy-to-use

graphical user interfaces

with some code.

WHAT DO THEY NEED?WHAT DO THEY NEED?

Flexible, easy-to-use

graphical user

interfaces.

Primarily coding.

Need to scale methods

without redefining code.

WHAT DO THEY NEED?

Uptime and

reliability.

WHAT DO THEY NEED?

Portability and

consistency.

WHAT DO THEY NEED?

WHAT DO THEY DO? WHAT DO THEY DO? WHAT DO THEY DO?


ANALYTIC MATURITY CONTINUUM

Needs a range of capabilities to enable an organization

Unguided, unstructured analysis and exploration of data to

discover new questions and opportunities.

Provides insights beyond what.

Application of one or multiple analytic techniques to find

relationships in the data that will answer why.

Embedding analytics / results into business systems.

Automating the preparation of production data, model

scoring and reports.

Enables trusted, repeatable decisions.

TRADITIONAL REPORTING

ANALYTICS

CONTINUUM

REPORTS & DASHBOARDS

Creation and sharing of known information resulting in

the delivery of reports.

Answers the question: what happened?

APPROACHABLE ANALYTICS

DEPLOYED MODEL / INSIGHT

MODEL PROTOTYPE / DEFINITION

ADVANCED ANALYTICSENTERPRISE ANALYTICS

REFINED MODEL


Create Analytic

Insight

ANALYTICS CONTINUUM

R Reporting

A1

Approachable

Analytics

A2 Advanced

Analytics

A3 Enterprise

Analytics

Consume Analytic Outputs

Refine

Analytic Model

Define

Analytic Model

Deploy Analytic

Insight

ANALYTIC

CONTINUUM

ANALYTIC

OUTCOME

1 BUSINESS ANALYST

1

2CITIZEN DATA

SCIENTIST

2

3 DATA SCIENTIST

34

5

IT

DEVELO

PER

4

5


MODERN ANALYTICS ENVIRONMENT

https://www.youtube.com/watch?v=Gso1f1qUHmg


UNPACKING THE SAS® PLATFORM


The Analytics Lifecycle

Analytics Platform


THE ANALYTICS LIFECYCLE

REQUIRES A BROAD RANGE OF

CAPABILITIES.

PROVIDES THE FOUNDATION

FOR ANALYTICS.

DELIVERS VALUE FROM YOUR

ANALYTIC ASSETS.

ModelAccess Explore AnalyzeCleanse MonitorIntegrate Govern Embed

DISCOVERYDATA DEPLOYMENT

AUTOMATE & ORCHESTRATE




CAPABILITIES.


FOR ANALYTICS.


ANALYTIC ASSETS.




Decision Maker Citizen Data Scientist IT

Business Analyst Data Scientist

So what?

Show me the power.Let me tell the story.

Let me access all

the data to ask

different questions.

I will

operationalize

the process.

Many voices. Different needs.


ModelAccess Explore AnalyzeCleanse MonitorIntegrat

e

Govern Embed



PLATFORM

SC

AL

ETR

US

T

DIVERSITY

YOUR DATA HadoopDatabasePC Files IoT

Consum

e

Create

Define

Refine

Deploy

• Industry solutions

powered by an

enterprise analytics

platform.

>

• Diverse, Scalable

and Trusted

Analytics.

• Augment open

source initiatives

• Advanced Machining

Learning and AI

capabilities

>

>

>

• Data agnostic

• Hadoop enabled.

• Real-time.

>

>

>

INDUSTRY

SOLUTIONS

Fraud and

Security

Intelligence

Citizen

Intelligence

Risk and

Compliance

Cyber

Security

USER

EXPERIENCES

VisualizationData

Preparation

AI & ML

Python

R

Lua

Java

APIs

Text

Analytics

Predictive

Analytics

Data

Quality




CAPABILITIES.


FOR ANALYTICS.


ANALYTIC ASSETS.





• Browse and search available data & metadata

• Filter, copy & profile data

• Lift data into memory

• Access new data sources (files, social media, data connections)

CONNECT TO

DATA

ACCESS


JOIN MERGE

TRANSFORM

INTEGRATE

• Select columns & apply filters

• Calculate Columns

• Convert data types

• Append, join & transpose data

• Insert code

• Create jobs


• Parse

• Field Extraction

• Standardize

• Match

PROFILE

STANDARDIZE

MATCH

CLEANSE

• Identification Analysis

• Change Case

• Gender Analysis


• Ad hoc exploration of data.

• Discover relationships, trends and outliers.

• Interactive maps and visualizations.

• Design & publish interactive visualizations.

DATA

DISCOVERY

EXPLORE


• Linear & logistic regression and generalized linear model.

• Classification trees.

• Clustering and segmentation.

• Model comparisons (lift / ROC charts, misclassification tables).

STATISTICS

ANALYZE


• Advanced data mining pipelines and algorithms

• Data sampling including random, stratified and oversampling.

• Feature binning and partitioning

• Visual data exploration and feature engineering.

• Model ensembling

DATA MINING

MODEL


• Text Analytics pipeline frame work for text modeling

• Text mining functions like Parsing, Concept and topic creation, Content Categorization and Sentiment Analysis.

• Textual Elements, Similar Terms, Create Rules wizard, predicate/fact matches displayed.

TEXT MINING

MODEL


MACHINE

LEARNING & AI

• Unsupervised- and supervised-learning algorithms

(principal component analysis, random forests, gradient

boosting, neural networks and more)

• Automated model tuning

• Model assessment and scoring

MODEL


CENTRALLY

MANAGE

GOVERN

• Central model management

• Repository for SAS Models and Open Source (R, Python, PMML)

• Model history, version control

• Model lineage and governance


CREATE

EFFICIENCIES

EMBED

• Automate Model execution.

• Execute models in database/Hadoop.

• No Language Conversion.

• Generate score code for complex models.


CONTROL &

ADJUST

MONITOR

• Model performance platform to keep models “fresh”

• Compare Multiple Models at once

• Assess model accuracy (Lift, ROC, K-S)

• Champion/Challenger modeling

• Model retraining including open source


THE ANALYTICS LIFECYCLE DELIVERED THROUGH THE ANALYTICS PLATFORM


Pa

ralle

l &

Se

ria

l, P

ub

/ S

ub

,

Web S

erv

ice

s,

MQ

s

Source-basedEngines

Microservices

UAA

Query

Gen

Folders

CAS

Mgmt

Data

Source

Mgmt

Analytics

GUIs

etc…

BI

GUIs

Env

Mgr

Model

Mgmt

Log

Audit

UAAUAA

Data

Mgmt

GUIs

In-MemoryRuntime Engine

In-Database

In-Hadoop

In-StreamSolutions

APIs

Platform

Analytics

Data ManagementFraud and Security Intelligence

Business VisualizationRisk Management

!

Customer Intelligence

Cloud Analytics Services (CAS)


TRIAL PROGRAMS


Let’s continue the conversation…[email protected]

613-220-8237

mailto:[email protected]

government analytics leadership forum · application of one or multiple analytic techniques to find...

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