PROČ UŽ SE NEOBEJDETE BEZ ANALÝZY DAT JAKUB CHOVANEC - IDG KONFERENCE 3.6.2015
KDO JSME #1 v poskytování datové analytiky a služeb v oblasti Business Analytics a Business Intelligence 39 let na trhu 16 let v České republice CO DĚLÁME Integrovaný soubor softwarových produktů a služeb Informační management Analytika Business Intelligence ZKUŠENOSTI NAŠI ZÁKAZNÍCI 70,000 instalací ve 139 zemích po celém světě 23% z výnosů investovaných do vývoje $3,09 mld. ve výnosech v roce 2014 91 firem umístěných v top 100 v žebříčku Fortune Global 500 Klienti ze soukromého i veřejného sektoru po celém světě V ČR: Česká spořitelna, Česká pojišťovna, Kooperativa, Raiffeisenbank, Allianz, GE Money, ČPP, T-Mobile, DIRECT Pojišťovna, ČSÚ, Komerční banka, VIG, Kooperativa, PČS, Česká pošta, Ministerstvo zemědělství
DATA GENERATED AROUND US Risk Commerce E-commerce CRM Telco Fraud Utilities Manufacturing
RISK WILL THEY PAY THE DEBT? Risk Credit risk scoring Internal & external data social networks User behavior on website smart forms - position - keywords in text - average time on position
MARKETING WHAT IS THE CUSTOMER BEHAVIOUR? Customer 360 view Propensity to buy Next best offer Churn analysis Commerce E-commerce CRM
FRAUD WHO AND HOW? HOW TO FIND OUT? Insurance fraud Rules Social Network Analysis Text Mining 60+ millions CZK saved in ½ year Fraud Banking - Online fraud Fast data Event Stream Processing Analyzes transactions as they are received Alert Investigation
ONLINE FRAUD THE CLIENT S PROBLEM? Fraud
UTILITIES HOW TO MANAGE RISK? Utilities Predictive maintenance Smart meter analysis Real-time analytics ALERT VISUALIZATION REPORTS DASHBOARDS INSIGHTS Batch analytics
MANUFACTURING HOW TO USE DATA FOR QUALITY MANAGEMENT? Quality management Parts fitting Sensor data analysis Manufacturing
MANUFACTURING HOW TO USE DATA FOR QUALITY MANAGEMENT? Quality management Parts fitting Sensor data analysis Manufacturing
MANUFACTURING HOW TO USE DATA FOR QUALITY MANAGEMENT? Quality management Parts fitting Sensor data analysis Manufacturing
TELCO BIG DATA 1. Activation 2. Set Preferences 3. See Featured Offers 4. Receive push notification of local offer 5. View Offer on Map Commerce & Telco 9. Use in store 8. Accept 7. Get Offer 6. View Offer Details
WHY DO WE NEED TO ANALYZE DATA? INSIGHT MONEY
HOW DATA VISUALIZATION Goal: easy to understand graphical representation of data using Shapes Colors Color intensity Position of shapes
HOW DATA VISUALIZATION PATTERNS, RELATIONSHIPS,
SAS VISUAL ANALYTICS EXPLORE YOUR DATA Visualization types Table analysis (pivot) Common graph types Powerful filtrations, selections Geo-analysis Analytics for business people Forecasting What-if analysis Correlation matrix Heat, tree maps Text analytics
SAS VISUAL STATISTICS RAPID MODEL PROTOTYPING Exploratory predictive modeling, in-memory Linear regression Logistic regression GLM Clustering Model comparison Score code Group by modeling
SAS VISUAL STATISTICS GROUP BY MODELING Big Data one model doesn t fit all Find groups (clustering) Make models for each group Market segment Customer segment
HOW IS SAS LEVERAGING HADOOP? Traditional Approach DEPLOYMENT PATTERNS In-Memory Approach In-Database Approach Data Data Memory Data SAS SAS SAS
SAS&HADOOP DISTRIBUTIONS PREFERRED CLOUDERA & HORTONWORKS
WHY TO MAKE RELEVANT DECISIONS! INSIGHT MONEY
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