PROČ UŽ SE NEOBEJDETE BEZ ANALÝZY DAT

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1 PROČ UŽ SE NEOBEJDETE BEZ ANALÝZY DAT JAKUB CHOVANEC - IDG KONFERENCE

2 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 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

3 DATA GENERATED AROUND US Risk Commerce E-commerce CRM Telco Fraud Utilities Manufacturing

4 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

5 MARKETING WHAT IS THE CUSTOMER BEHAVIOUR? Customer 360 view Propensity to buy Next best offer Churn analysis Commerce E-commerce CRM

6 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

7 ONLINE FRAUD THE CLIENT S PROBLEM? Fraud

8 UTILITIES HOW TO MANAGE RISK? Utilities Predictive maintenance Smart meter analysis Real-time analytics ALERT VISUALIZATION REPORTS DASHBOARDS INSIGHTS Batch analytics

9 MANUFACTURING HOW TO USE DATA FOR QUALITY MANAGEMENT? Quality management Parts fitting Sensor data analysis Manufacturing

10 MANUFACTURING HOW TO USE DATA FOR QUALITY MANAGEMENT? Quality management Parts fitting Sensor data analysis Manufacturing

11 MANUFACTURING HOW TO USE DATA FOR QUALITY MANAGEMENT? Quality management Parts fitting Sensor data analysis Manufacturing

12 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

13 WHY DO WE NEED TO ANALYZE DATA? INSIGHT MONEY

14 HOW DATA VISUALIZATION Goal: easy to understand graphical representation of data using Shapes Colors Color intensity Position of shapes

15 HOW DATA VISUALIZATION PATTERNS, RELATIONSHIPS,

16 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

17 SAS VISUAL STATISTICS RAPID MODEL PROTOTYPING Exploratory predictive modeling, in-memory Linear regression Logistic regression GLM Clustering Model comparison Score code Group by modeling

18 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

19 HOW IS SAS LEVERAGING HADOOP? Traditional Approach DEPLOYMENT PATTERNS In-Memory Approach In-Database Approach Data Data Memory Data SAS SAS SAS

20 SAS&HADOOP DISTRIBUTIONS PREFERRED CLOUDERA & HORTONWORKS

21 WHY TO MAKE RELEVANT DECISIONS! INSIGHT MONEY

22 THANK YOU!