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Nyheter i SAS Data Management

med SAS versjon 9.4

Terje Vatle

(2)

Hvorfor SAS

®

Data Management?

Hva kan du gjøre med SAS

®

Data Management?

Nyheter med SAS

®

9.4-basert Data Management

SAS Access

SAS Data Integration Studio

SAS Data Management Platform

SAS Master Data Management

(3)

DEGREE OF INTELLIGENCE

C

O

M

P

E

T

IT

IV

E

A

D

V

A

N

TA

G

E

Standard

reports

Ad hoc

reports

Drill down

Source

data

Cleansed

data

Alerts

BUSINESS INTELLIGENCE

Why is this happening?

What will happen if these trends continue?

What will happen next?

What is the best that can happen?

Statistical

analysis

Forecasting

Predictive

modeling

Optimization

What happened?

Where exactly is the problem?

Which actions are required?

How many, how often?

BUSINESS ANALYTICS

Tilrettelegging for analyse

Preppe store og små data

Lasting rett inn i in-memory appliance

In-database datakvalitet

Hvor går grensene for SQL?

SAS DM kan gjøre kompliserte beregninger

SAS DM er én løsning for datakvalitet, dataintegrasjon, tilgang,

føderasjon og MDM

Operasjonalisering av analyse

(4)

Data Governance

Hva kan du gjøre med SAS Data Management?

Data Integration

Data Quality

Enterprise Data Access

Data Access Engine / Db connectors (incl. Hadoop)

Event stream processing

Data Migration

Data Preparation for Analytics

Business glossary & rules

Matching / Entity Resolution

Profiling & Monitoring

Reporting & dashboarding

Stewardship, Remediation

Multi-domain MDM

Reference data management

Relationship management & lineage

Workflows / Enrichment

Data abstraction

Data aggregation

Data caching

Master Data

(5)

Data Governance

SAS Data Management

Data Integration

Data Quality

Management

Master Data

Data Federation

Enterprise Data Access

Leader Gartner

Magic Quadrant

Leader Gartner Magic Quadrant

Champion Bloor Research

Leader Information Difference

2nd Largest

Data Access & Management Vendor - IDC

COE Advisory Workshops (Exec Briefing,

Assessments, Strategy & Roadmap)

SAS Best Practices

Leader in Advanced Data

Visualization - Forester

Leader in Big Data

Analytics - Forester

36 Years of Data Management and Governance

Experience

Customers in 60k sites across 134 countries

90% of the Fortune 500 companies use SAS

24% reinvestment in R&D

(6)

Data Access

Connectors &

Access

Engines

Event stream processing

Transparent access to data stored on a variety of platforms and

formats (>60 different sources)

Continuously analyzes data as it is received for real

time decision making

Bank transaction fraud detection

Real-time analysis of social data streams

Personalized online offers based on navigation

Data residing in Applications as well as metadata stores

Structured, semi-structured and unstructured data

(7)

Data Integration

A

B

Integrated data quality to stop

bad data at the source,

de-duplicate, standardize, etc

Interactive, visual data integration

development environment that

enables collaboration and reusability

(8)

Data Federation

People

Processes

Technology

Oracle

DB2

Terad

ata

SQL

Server

ODBC

SAS

Datas

ets

SAP

Other

SAS Federation Server

Virtual Data Layer

“Query and use of data

across multiple systems

without the physical

movement

of source data”

(9)

Data Federation

People

Processes

Technology

Virtual Data Layer

SAS Federation Server

End Users

Power users

Contractors

Auditors

3

rd

parties

Orders

Call center

Customer onboarding

Customer Service

Off shore

BI tools

Analytic apps

Spreadsheets

Data Warehouse

MDM

Summary data Personal data Customers Recent Activities Dashboard summary data

Public data Private data Products Suppliers Complete detailed data

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Data Quality

Define the terms and sources

1

Discover & Profile the Data

2

Design data quality standards

3

Apply injection

and execution

4

Monitor & Publish

DQ measurement

5

Remediate &

Improve

6

In-database: SAS Data

Quality Accelerator for

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Master Data Management

MDM

Single view of key data across multiple

business applications and channels

Cross-functional collaboration and

business process optimisation

Cross-channel integration, KYC,

Integrated Marketing, M&A readiness

(13)

Data Governance

Consensus

Collaboration

Transparency

Formal orchestration of

people, processes and

technology to leverage

data as a corporate asset

Business data glossary

Data Management processes

DQ Remediation

Business rules

(14)

− SAS Plattform Integration

– Alle server connections via SAS metadata

– Brukere, grupper, roller, jobber, tabeller mm

− Webapplikasjoner

– SAS Data Management Console*

– SAS Job Monitoring*

– SAS Visual Process Orchestration*

Nyheter i SAS

®

Data Management

* P.t. kun i SAS Data Management Advanced – kommer i ”Standard” til vinter

Bonus:

Clustering af SAS Metadata

Server i SAS 9.4

Tilgjengelighet

(15)
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Process Jobs

Visual Process Orchestration

PO Execute

SAS

®

Visual Process Orchestration

Data Management

Server 1

SAS Web Application Server

PO Design

Data Management

Server N

Web Browser

SAS DI

Server

XX Server

S

E

SAS Folders

(17)
(18)

Cut/Copy/Paste i Process Flow Diagram

DI Studio LASR

TM

Load/unload transforms (production)

Kalle Web Services fra DI Jobs via SOAP transform

Kalle Web Services fra DI Jobs via REST transform

(19)

In-database

data quality

SAS DATA QUALITY ACCELERATOR FOR

First vendor in the market!

DQ functions executed as stored procedure,

leveraging SAS Knowledge Base (QKB)

Benefits

Fast DQ processes for large data volumes

Processes 500 times more data

Data Cleansing To Decision making 99% faster

Parsing

Extraction

Pattern Analysis

Identification Analysis

Gender Analysis

Standardization, Casing

Matching

Mr. Roy G Biv Jr

Blue mens long-sleeved

button-down collar denim shirt

999-999-9999

John Smith = Name / SAS = Organization

Jane Smith = F - Sam Adams = M

919.6778000 = (919) 677-8000

John Smith / J. Smith / Mr. Jon Smith

Only Selective DQ

Features

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Enklere og

raskere å få

ny innsikt

Faster Time To

Value

Business

Agility

Validate

Reporting

Approaches

DWH

Rapid Report Development

DWH

Mktg.

CRM

Finance

Federation Server

Virtual Data Layer

Rollout

Start

Acquiring Data needed

for reports from sources

(22)

SAS

®

Data Management - Sammendrag

Én integrert løsning

Tilgang

Datakvalitet

Dataintegrasjon

MDM

Føderasjon

Muliggjør analyse

Tilrettelegging

Operasjonalisering

(23)

make

connections • share ideas • be inspired

Takk for

oppmerksomheten!

Terje Vatle

References

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