USE ANALYTİCS FOR DECİSİON MAKİNG: ANALYTİCS İN ACTİON

Transcription

1 USE ANALYTİCS FOR DECİSİON MAKİNG: ANALYTİCS İN ACTİON Copyr i g ht 2014, SAS Ins titut e Inc. All rights res er ve d. CRİSTİNA CONTİ, SAS GLOBAL ANALYTİCS PRACTİCE

2 Copyr i g ht 2014, SAS Ins titut e Inc. All rights res er ve d. ANALYTİCS İN ACTİON: WHAT İS İT AND WHY

3 WHY ANALYTİCS İN ACTİON TAKE ADVANTAGE OF THE SCİENCE OF DATA Players need to gain deep insight into an individual s consumption patterns and choices. Ownership of data is becoming a characteristic of the dominant player: information about a transaction is more valuable than the transaction itself While customer behaviours drive the need for innovation, new technologies provide the tools. Source: KPMG International 2015 Copyr i g ht 2014, SAS Ins titut e Inc. All rights res er ve d.

4 WHY ANALYTİCS İN ACTİON TAKE ADVANTAGE OF NEW TECHNOLOGİES Copyr i g ht 2014, SAS Ins titut e Inc. All rights res er ve d.

5 WHY ANALYTİCS İN ACTİON TAKE ADVANTAGE OF ALL THE İNVOLVED ROLES Data Scientist Superheroe To bring value and service in an analytical culture where the actors are the Citizen Data Scientist Copyr i g ht 2014, SAS Ins titut e Inc. All rights res er ve d.

6 CAN YOU MODERNIZE YOUR LEGACY BI STRATEGY? DO YOU GROW A CULTURE OF INNOVATION? CAN YOU SCALE YOUR DATA AND ANALYTICS? why CAN YOU ANALYZE ALL OF YOUR DATA? CAN YOU RAPIDLY DEPLOY ANALYTICS? Copyr i g ht 2016, SAS Ins titut e Inc. All rights res er ve d.

7 DATA İS THE FOUNDATİON Regardless of the Amount Complexity Pace It is NOT insurmountable Copyr i g ht 2016, SAS Ins titut e Inc. All rights res er ve d.

8 WHAT WE DO WİTH DATA: DISCOVERY Raw material Creativity Prototyping Copyr i g ht 2016, SAS Ins titut e Inc. All rights res er ve d.

9 HOW WE OPERATİONALİZE THE RESULTS: DEPLOYMENT Finished product Governance Enterprise-ready Copyr i g ht 2016, SAS Ins titut e Inc. All rights res er ve d.

10 SAS ANALYTİCS İN ACTİON SUPPORTS A CHANGE İN PARADİGM Monthly sales reports Profitability analysis Customer surveys 03 Traditional Approach Structured & Repeatable Analysis 02 IT structures the data to answer that question V A L Innovative Data Driven Approach Iterative & Exploratory Analysis Business users explore what questions could be asked Brand sentiment Product strategy Maximum asset utilization.. Business users determine what question to ask 01 U E 01 IT delivers a platform to enable creative discovery Copyr i g ht 2014, SAS Ins titut e Inc. All rights res er ve d.

11 SAS ANALYTİCS İN ACTİON HOW WE DO İT? Copyr i g ht 2014, SAS Ins titut e Inc. All rights res er ve d.

12 SAS ANALYTİCS İN ACTİON Approachable Analytics Unlimited Data Volumes Embrace the potential Speed The ability to try things fast, prototype, test hypothesis Democratized Analytics Cater to the citizen data scientist Copyr i g ht 2016, SAS Ins titut e Inc. All rights res er ve d.

13 SAS ANALYTİCS İN ACTİON Data Management for Analytics Purpose Built Support Analytical Methods Built in Governance Auditability, traceability, automation Productivity Iterative, data, models Copyr i g ht 2016, SAS Ins titut e Inc. All rights res er ve d.

14 SAS ANALYTİCS İN ACTİON Decisions at Scale Automate Build, monitor, and evaluate models using modern methodologies Empowerment Enable decision makers everywhere backed by powerful analytics Confidence Ensure analytic solutions are repeatable, reliable, timely, and relevant across the enterprise Copyr i g ht 2016, SAS Ins titut e Inc. All rights res er ve d.

15 SAS ANALYTİCS İN ACTİON Streaming Analytics Take Real-time Action Decisive reaction to complex patterns and events as they happen Apply Multi-Phase Analytics Advanced analytics and multi-phase processing Focus on Relevant Data Continuous loading of relevant streaming data Copyr i g ht 2016, SAS Ins titut e Inc. All rights res er ve d.

16 Copyr i g ht 2014, SAS Ins titut e Inc. All rights res er ve d. HOW TO REALLY ACT UPON İT: BUSİNESS APPLİCATİONS

17 BANKİNG Risk management; fraud & financial crimes are both board-level compliance imperatives. Non-compliance is not an option. Regulatory Compliance Industry Disruption FinTechs 1 seek to disintermediate banks from customers; banks must retool & leverage trusted provider status with customers Data, data and more data Internal & external data of many forms must be must be combined to analyze customers, risks, fraudsters, cybercriminals Personalized, next-best communications show customers the bank cares about their financial lives Improvements here are key to profitable growth by increasing share-of-wallet and retention across all areas of banking Customer Insights Customer Experience 1 Financial Technology start-up firm Copyr i g ht 2014, SAS Ins titut e Inc. All rights res er ve d.

18 INSURANCE Insurers now have to comply with higher number of regulations leading to improved transparency. Find the most profitable growth, take the next best actions and maximize wallet share Regulatory intervention Customer Insights Profitability and retention is very much dependent on what happens after the sale. New Entrants New Realities Customer Experience New competition has emerged from non-core insurance products such as Google, Amazon as they enter the insurance arena. Data, data and more data Connectivity of devices has led to an age of IoT making it necessary to invest in social media, mobile, analytics and cloud computing Copyr i g ht 2014, SAS Ins titut e Inc. All rights res er ve d.

19 COMMUNİCATİONS TRANSFORMİNG TO DİGİTAL SERVİCE PROVİDERS Big Data Analytics: Network Transformation SDN/NFV/ZOOM Cloud services Monetize IoT: Connected life Privacy Monetize Smart Customer Journey: Omni channel Relevant Location based Contextual Security Digital: Inclusion Social Media Attribution Convergence Copyr i g ht 2014, SAS Ins titut e Inc. All rights res er ve d.

20 RETAİL KNOW YOUR CUSTOMERS AT 360! Know Who are my customers? How are my customers different from one another? What similarities do my customers share? What/when/where do my customers buy? How do customers engage with me? How do customers feel about my brand/product? Customer Segmentation & Customer Profiling Data Mining, Visualization, Scenario Analysis Market Basket & Behavior Analysis Social Media and Sentiment Analysis Online/Web Analytics Copyr i g ht 2015, SAS Ins titut e Inc. All rights res er ve d.

21 Copyr i g ht 2014, SAS Ins titut e Inc. All rights res er ve d. SO WHY SAS ANALYTİCS İN ACTİON?

22 MODERNIZE YOUR LEGACY BI STRATEGY Discovery GROW A CULTURE OF INNOVATION Deployment SCALE YOUR DATA AND ANALYTICS ANALYZE ALL OF YOUR DATA Data RAPIDLY DEPLOY ANALYTICS Copyr i g ht 2016, SAS Ins titut e Inc. All rights res er ve d.