Accelerate Migration of Enterprise Intelligence

ACCELERATE MIGRATION OF ENTERPRISE INTELLIGENCE ACCELERATING TO THE NEW SERIES

ENTERPRISE INTELLIGENCE IS MORE THAN JUST DATA AND PLATFORMS Many organizations have built new data capabilities including analytical data sets and data lakes. However, we’ve found that most clients are failing to explicitly migrate decades worth of enterprise DATA intelligence hidden inside the scores of analytical models These models ride on top of PLATFORM the data-warehouse and are deployed into all critical CE decisions from customer N MODELS acquisition to servicing, risk IGE SKILLS management and fraud etc.. LL CODE TE LEARNING We understand that a concurrent and explicit IN ANALYTICS “analytics and quant-talent SE ASSETS migration”, in addition to a data and tech migration strategy and program, must RPRI be undertaken to effectively TE utilize enterprise intelligence. EN Jan ‘18, Accenture survey of leading FS Chief Data Officers Failure to migrate Intelligence will leave business capabilities and impact stranded while data infrastructure migrates to the New. Copyright © 2018 Accenture. All rights reserved. 2

ANALYTICS MIGRATION – MORE THAN CODE A multi-dimensional program is necessary to MIGRATE @ SCALE KEY ACCELERATE NEXT 1. FOCUS 2. THE 3. GENERATION AREAS NEW ANALYTICS Analytics Migration AI-Driven Culture Deployed - Models Upskilled Teams Legacy Migration Ready for the ‘New’ Decommission Active Enhanced Data Analytics Platform + Adoption = Product Outcomes Migration Campaign & Insights Democratize Hyper via Culture Performance Talent Shift at Hyper Scale Transformation Decommission of Legacy Assets & User Support Cloud Readiness @ Scale Copyright © 2018 Accenture. All rights reserved. 3

INTELLIGENCE MIGRATION REQUIRES ADDRESSING MANY QUESTIONS Which legacy analytic data sets get migrated? In which order should legacy analytics data sets be migrated? Is my new architecture sufficient or does it need upgrades/ enhancements? How do I migrate models? Do I have to rebuild all of them? How do I effectively govern and manage an enterprise-wide analytics platform? How do I train my current users so that they can be effective with new tools? How do I ensure that my users have the data manipulation and advanced analytics tools they want and need? How do I measure success of analytics asset migration? Copyright © 2018 Accenture. All rights reserved. 4

OUTCOMES OF A SUCCESSFUL INTELLIGENCE ASSET MIGRATION DECOMMISSION OF Platforms & Tools LEGACY DATA & • Reduce platform cost and complexity ANALYTICS ASSETS • Fund ongoing data, tools, and model migration through active decommissioning • Simplify user tools ARTIFICIAL Enterprise-wide Adoption INTELLIGENCE-DRIVEN • Embed analytics into enterprise processes CULTURE • Embrace AI opportunities • Democratize access to data UPSKILLED Leveraging the “New” Models and Tools TEAMS READY FOR THE • Foundation for responsible AI / ML ‘NEW’ • Skills aligned with academia and research • Maximize use of highly advanced, open source algorithms and emerging toolsets PERFORMANCE Foundation for the “New” Analytics AT HYPER SCALE • Innovation speed, cloud-ready • AI-ready • Resilient data management capabilities INTELLIGENT Enhanced Insights & Data Products INFORMATION • Creation of more effective data outputs PRODUCTS • Self-reinforcement of data learnings • Better data quality Copyright © 2018 Accenture. All rights reserved. 5

HOW DO I START? HOW DO I ACCELERATE? I need to understand the current landscape across several dimensions to uncover the ‘hidden’ assets of my enterprise intelligence: Usage & Volumes Code of Assets Complexities • Number of legacy users by platform / tools • Automated / Pre-scripted Code • Time distribution on analysis code (Data • Development vs. Reuse Extraction & Manipulation, Reporting, Modeling, • Macros, Array, Procs, Loops, Data Steps etc. Visualization) • Modeling techniques – GLM, RF, GBM, NN etc • Frequency of the analysis delivered • Average number of lines and time for job • Number of unique analyses execution • Average time required to execute • Number and type of data platforms and tables a SAS job / analysis used per analysis Business Criticality & My Team’s Skills & Readiness to Migrate Background • End users for the analysis • Assess the talent maturity of the resources for • Different downstream processes impacted new toolkit: (Risk, Marketing, Audit, Compliance, etc.) • Extent of Tool usage • For each Line of Business, interoperability • # of years / months of experience across tools challenges to migrate to new technologies • Level of Proficiency –No, Basic, High. • Interest in developing the skills • Preferred training methods to learn Copyright © 2018 Accenture. All rights reserved. 6

JUMPSTART ANALYTICS MIGRATION EFFORTS THROUGH TALENT OR TECHNOLOGY INITIATIVES Three different strategies were recently used to migrate enterprise intelligence at Financial Services institutions from legacy to the New. “All In” Enterprise Intelligence Migration Client 1:Leading US payments company More than 2,000 Analytical users migrated: • “High Touch” training and adoption approach • SAS to open source • Models converted • Partnered with provider for Learning Academy 18 Months 05 Continents Upskill Talent to Drive Adoption for Migration Client 2: Leading European Bank company 200 Champions • Talent up-skilling for Execs AND Practitioners • Focus on emerging technology landscape on advance analytics • Execs excited to migrate 06 Months Culture shift started through education rather than forced IT upgrades Migration to Drive Strategy Client 3: Global payment company 80% Rule • 80% data migrated • 80% models converted • 80% of staff trained • Shifted Analytics org to “digital partner” from BI report development orientation 12 Months Talent up-skilling through training to emerging technology landscape on advance analytics Copyright © 2018 Accenture. All rights reserved. 7

AUTHORS ABOUT ACCENTURE Ramesh Nair Accenture is a leading global professional Managing Director, Financial Services services company, providing a broad range Leader, Applied Intelligence of services and solutions in strategy, [email protected] consulting, digital, technology and operations. Combining unmatched Anand Premsundar experience and specialized skills across Managing Director, Financial Services more than 40 industries and all business Applied Intelligence functions – underpinned by the world’s [email protected] largest delivery network – Accenture works at the intersection of business and technology to help clients improve their Rich Givens performance and create sustainable value Senior Manager, Financial Services for their stakeholders. With 449,000 people Applied Intelligence serving clients in more than 120 countries, [email protected] Accenture drives innovation to improve the way the world works and lives. Visit us at Barric Reed www.accenture.com Manager, Financial Services Applied Intelligence [email protected] Copyright © 2018 Accenture All rights reserved. Accenture, its logo, and High Performance Delivered are trademarks of Accenture.