Analytics & Sport Data

Transcription

1 Analytics & Sport Data Could Neymar s Injury be Prevented? SAS Data Preparation

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4 AGENDA Player Performance Monitoring SAS Data Preparation Overview Demonstration SAS Data Preparation The Full Story Success Story

5 AGENDA Player Performance Monitoring SAS Data Preparation Overview Demonstration SAS Data Preparation The Full Story Success Story

6 Sports Analytics Player Performance Monitoring Monitor Training Load Know how each athlete is responding to training Whether to top up, rest or maintain load Increased Pitch Time Prescribe Training Each player receives exactly the training they need In Prime physical condition for competition Reduce Injury Risk Players maintain a steady training load Spend more time on the pitch

7 AGENDA Player Performance Monitoring SAS Data Preparation Overview Demonstration SAS Data Preparation The Full Story Success Story

8 1 Self-Service Data Preparation Interactive Data Transformations 3 Scalable Purpose Built to Run In-Memory Advanced Data Quality and Profiling Data Profiling & CLeansing 2 Lineage & Collaboration Open communication through projects and APIs 4

9 Self-Service Data Preparation SAS Data Preparation 2.1 Analytics Driving Innovation Companies want to innovate and do analytics, therefore the ability to be data driven is a decisive competitive advantage. Data Fuels the Analytics Engine Rise in volume & number of increasingly external sources, consumerization of IT has placed increasing demands to deliver data in a self-service manner. Business Analysts Need Tools Data professionals spending 50-80% of time on preparing data instead of generating insight.

10 AGENDA Player Performance Monitoring SAS Data Preparation Overview Demonstration SAS Data Preparation The Full Story Success Story

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12 AGENDA Player Performance Monitoring SAS Data Preparation Overview Demonstration SAS Data Preparation The Full Story Success Story

13 Product Breakdown SAS Data Preparation 2.1 Data Quality & Profiling Through GUI SAS Data Quality 3.3 Data Quality & Profiling Through programming QKB for Contact Information (all locales) Visual Analytics 8.2 Pre-Requisite One Data Connector (more available upon purchase) Basic Data Management Pieces QKB CI 18 ALL Locales are provided for the SAS Customer Information QKB Key for Multi-National Personal Data Regulations Previously, only one locale was provided with additional available upon purchase Subject to change

14 Collaboration workspace Collection of tables, columns, reports, jobs, projects and other objects Enables communication Organize Data Projects Monitor the status of jobs Schedule jobs Monitor Jobs Manage Data Copies data to a CAS server Manage Data Profile and Understand Data Prepare Data Builds and Executes Plans Applies transformation in-memory Run on the CAS server Subject to change

15 Data Connectivity 2017 SAS Viya Data Connector SAS In-Database Technologies Data Connector Accelerators Parallel Load SAS In-Database Technologies CAS Driven-Scoring Hadoop Teradata Impala ODBC Oracle PostgreSQL PC Files DB2 Amazon Redshift Microsoft SQL Server SAP HANA Subject to change New Connections and Connection Types added frequently More to be released with mid-year Viya release e.g. SPARK Check with your alliances manager for the most up to date info Information correct of 11/04/18

16 Data Preparation Business Analyst, Citizen Data Scientist Self-service Wrangling Blending Ad-hoc data, very flexible Highly managed data and optimized Data Integration & Quality Data Governance Extract, Transform, Load Managed Monitored Glossary Auditing Lineage ETL Developer IT Users Data Steward Subject to change

17 SAS Data Preparation 2.2 SAS Viya 3.4 Q 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) 01 Data Connector Designer For data sources that do not yet have a dedicated source designer 02 New Integration Points Into SAS Viya applications to make a more fluid user experience 03 Data Prep Suggestions Tagging of columns automatically and ondemand using machine learning 04 New Transformations Unique Row Identifier Data Matching/Clustering Data Partitioning Subject to change

18 SAS Data Quality 3.4 SAS Viya 3.4 Q Additional Highlights: Enhanced QKB (CI 29) Improved data profiling results More data quality capabilities such as matching Increased openness through API integration 01 Data Quality APIs 02 Visual Matching/Clustering 03 Analyse column contents 04 Persist Profiling to CAS For all data quality and data profile functions Create AND/OR match conditions using GUI Determine the contents of a column through QKB CI 29 e.g. phone numbers Store profiles long-term in a CAS table Subject to change 03

19 AGENDA Player Performance Monitoring SAS Data Preparation Overview Demonstration SAS Data Preparation The Full Story Success Story

20 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. Bisnode 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. Key Challenges 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. How SAS supported the process Results 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 Powered by SAS Advanced Analytics on SAS Viya Copyright Copyright SAS SAS Institute Inc. All All rights rights reserved. reserved.

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