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Analytics & Sport DataCould Neymar’s Injury be Prevented?SAS Data Preparation


https://www.sas.com/en_gb/events/2017/ebooster-sas-partners.html

https://www.sas.com/en_gb/events/2017/ebooster-sas-partners.html


AGENDA• Player Performance Monitoring

• SAS Data Preparation – Overview

• Demonstration

• SAS Data Preparation – The Full Story

• Success Story


01

02

03

Each player receives exactly the training they needIn Prime physical condition for competition

Prescribe Training

Players maintain a steady training loadSpend more time on the pitch

Reduce Injury Risk

Know how each athlete is responding to trainingWhether to top up, rest or maintain load

Monitor Training Load

Sports AnalyticsPlayer Performance Monitoring

Increased Pitch Time




• Demonstration


• Success Story


2

Data Profiling & CLeansing

Advanced Data Quality and Profiling

1Self-Service Data Preparation

Interactive Data Transformations

4

Open communication through projects and APIs

Lineage & Collaboration

3Scalable

Purpose Built to Run In-Memory


Rise in volume & number of increasingly external sources, consumerization of IT has placed increasing

demands to deliver data in a self-service manner.

Data Fuels the Analytics EngineData professionals spending 50-80% of time

on preparing data instead of generating insight.

Business Analysts Need Tools

Self-Service Data Preparation

Companies want to innovate and do analytics, therefore the ability to be data driven is a decisive

competitive advantage.

Analytics Driving Innovation

SAS Data Preparation 2.1




• Demonstration


• Success Story


Data Quality & Profiling – Through GUISAS Data Preparation 2.1

Data Quality & Profiling – Through programmingQKB for Contact Information (all locales)

SAS Data Quality 3.3

Pre-RequisiteOne Data Connector (more available upon purchase)Basic Data Management Pieces

Visual Analytics 8.2

ALL Locales are provided for the SAS Customer Information QKBKey for Multi-National Personal Data RegulationsPreviously, only one locale was provided with additional available upon purchase

QKBCI 18

Product Breakdown

Subject to change


Copies data to a CAS server

Manage Data

Profile and Understand Data

Builds and Executes Plans

Applies transformation in-memory

Run on the CAS server

Collaboration workspace

Collection of tables, columns, reports, jobs,

projects and other objects

Enables communication

Monitor the status of jobs

Schedule jobs

Manage Data Prepare Data

Organize Data Projects Monitor Jobs

Subject to change


2017SAS Viya

‘Data Connector’

SAS In-Database Technologies‘Data Connector Accelerators’

Parallel Load

SAS In-Database TechnologiesCAS Driven-Scoring

Hadoop

Teradata

Impala

ODBC

Oracle

PostgreSQL

PC Files

DB2

Amazon Redshift

Microsoft SQL Server

SAP HANA

New Connections and Connection Types added frequently

More to be released with mid-year Viya release e.g. SPARKCheck with your alliances manager for the most up to date infoInformation correct of 11/04/18

Data Connectivity

Subject to change


Self-service Wrangling Blending

Data Preparation

LineageGlossary AuditingExtract, Transform,

Load

MonitoredManaged

Data Integration & Quality Data Governance

Ad-hoc data, very flexible

Business Analyst, Citizen Data Scientist

Data StewardETL Developer IT Users

Highly managed data and optimized

Subject to change


01

Data Connector Designer

For data sources that do not yet have a dedicated source

designer

03

Data Prep Suggestions

Tagging of columns automatically and on-

demand using machine learning

04

New Transformations

Unique Row IdentifierData Matching/Clustering

Data Partitioning

Q2 2018

Additional Highlights:• New APIs for direct access to

data connectors using REST and JSON

• ESRI geocoding support (ESRI account needed)

• Improved right-to-left language support

• Wide table support (thousands of columns)

SAS Data Preparation 2.2SAS Viya 3.4

Subject to change

02

New Integration Points

Into SAS Viya applications to make a more fluid user

experience


01

Data Quality APIs

For all data quality and data profile functions

02

Visual Matching/Clustering

Create AND/OR match conditions using GUI

03

Analyse column contents

Determine the contents of a column through QKB CI 29

e.g. phone numbers

04

Persist Profiling to CAS

Store profiles long-term in a CAS table

Q2 2018

Additional Highlights:• Enhanced QKB (CI 29)• Improved data profiling

results• More data quality capabilities

such as matching• Increased openness through

API integration

03

SAS Data Quality 3.4SAS Viya 3.4

Subject to change




• Demonstration


• Success Story

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How SAS® supported the process

ResultsKey Challenges

Bisnode

• To unify the way analytics solutions are built—and merge analytical tools into one platform to increase efficiency and collaboration—Bisnode chose SAS® Viya®.

• This enhancement to the SAS Platform enables Bisnode to:

-- consolidate its analytics environments across markets

-- maximize the value of SAS or open source skillsets

-- enable centralized, collaborative ways of working

-- increase efficiency and respond faster to customer needs

-- achieve greater employee productivity and versatility

• Aligning a scattered portfolio of analytics tools across countries—to enable collaboration among Bisnode business units.

• Utilizing processes consistently across markets.

• Achieving its goal to consolidate systems and streamline processes—to become more cost effective and agile.

• Enabling centralized ways of working, including creation and re-use of predictive models by everyone—inclusive of open source programmers.

SAS® Advanced Analytics on SAS® Viya®

As Europe’s largest provider of smart data and analytics, Bisnode helps clients in 18 countries enrich their data and secure accuracy…identify and target new customers…and automate day-to-day business decisions.

“In Bisnode we have set a goal to have a common target architecture. This new architecture will enable us to work as “One Bisnode”, and SAS Viya can be the

analytics platform we are looking for.”

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

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analytics & sport data - sas institute · sources, consumerization of it has placed increasing...

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