The Future is Here: Validating Tomorrow’s Enterprise

Presentation by Kiran Marri, Plenary Keynote Speaker @STC 2012.

Presentation Abstract

The influence of technology advancements for agile business model is pushing the industries across verticals to adapt to the new digital consumer behavior. The digital consumerism is an undeniable fact and organizations are rapidly adopting its services to this new outlook. This new age digital consumers are highly informed, assertive and demand for higher personalization of the services delivered to them. Another key trend that is impacting the industry is the pervasive computing. This provides an environment for power of computing – anywhere, anytime, any device. The biggest outcome of pervasive technology is the ability to make quicker decisions at right time by analyzing only intelligent information from the abundant data sources and various channels – portals, social media, blogs, end-use behavior etc. This data analysis is governed by various regulatory compliances to secure user data privacy, and enterprise needs better Test Data Management tools to ensure adherence to these regulations. This ability of the enterprise to understand and predict its end-users better helps to make it smarter and intelligent. We are indeed living in exciting times and this is a unique opportunity to imagine and create enterprises for future using enormous computation power. The most challenging aspect is to make it future-proof and provide business value for the outcomes. The QA as a discipline needs to be more agile, adaptable and innovative and the role of tester is even more complex – to imagine a futuristic system and provide innovative and smart QA solution. In addition to this, the QA is gradually becoming more technical and has developed its own niche discipline (for example: mobile testing, cloud testing, SOA, BI testing, Big Data QA etc.). This journey for validating tomorrow’s enterprise cannot be completed without innovation, co-creation and collaboration.

Key take ways
1. Key business and technology drivers
2. Elements of tomorrow’s enterprises
3. Various QA models – a quick snapshot
4. Validation points
5. Specialized QA – Is it the future
6. Role of QA
7. Innovation in QA
8. Role of organization for building tomorrow’s QA

About Kiran

Kiran Marri, BE. MS, is currently working as a Delivery Manager at Infosys Limited, Bangalore. He has 16 years of IT experience in project management, client relationship and developer roles. He has published and presented several papers at conferences in the field of Specialized testing practices, Project management and emerging QA areas. He has also conducted workshops and tutorials on creativity, thought-leadership, risk management, QA practices and defect prediction methods. His current research interest and publications are primarily in specialized testing services, test maturity practices and innovation strategies. He received his Bachelor in Electronics & Communication engineering from Madras University in 1993 and a Masters by research in Biomedical Engineering from the Indian Institute of Technology Madras, Chennai in 1996. Kiran is also PMP certified.

Transcript

1. Validating tomorrow’s enterprise
2. Top trends from FSI perspective • For a large bank, there are 57 million customers, 29 million online banking users and 10 million mobile banking customers, and this amounts to 70 Petabytes of data is stored annually and less than 1% of it used for analytics – Need of bigger storage and faster analysis, Big Data and BI • The # of banks reduced from 18000 in 1984 to 7357 in 2011. It is believed that by 2020, there would be about 4490 banks– Mergers & Acquisitions • “Engagement Banking” is a new theme that deploys “technology” to achieve both “customer intimacy” and “scale” – Improve Customer base by adopting latest technology trends • Behavior of customers - Customers want digital (36% - Internet, 6% - Telephone, 3% - Mobile, 15% - ATM, 25% - Branches, 8% - Mail, 7% - Others) – Diversified and evolving banking channels, need to reinforce security • Evolving Banking Regulations – Risk and Compliance/DW optimization/Improved BI reporting • Basel III requirements are impacting on all banks globally, with many in the West struggling to raise capital • In the US, the Dodd-Frank Act (DFA) requires many firms to have a risk committee and will likely result in risk compliance programs. 2
3. Basel III Regulation Dodd-Frank Act M & A Globalization Information Security Digital Convergence Big Data Advent of Social media HIPAA ICD-10 The recent regulatory, technology alignments and business drivers in Financial & Insurance vertical has opened up opportunities… One Enterprise focus Improve ROI Globalization Information Security Digital Convergence Big Data Advent of Social media Business Intelligence Cloud Enhance user experience 90% of Banks would adopt to mobility by 2015 and there will be less than 5000 banks across the globe in next 6 years 3
4. The client and consumer behavior are changing rapidly giving plenty of opportunity for the next Gen QA – Specialization to Super Specialization Business Scenarios and Problem statement Technology Trends Validation Opportunities A home loan major merges with a US financial institution. Loan servicing platforms of acquired institution is adopted as an org-wide standard Digital Consumer Pervasive Computing Data Migration QA Data warehouse QA, Performance QA Test Data Management, Virtualization Cloud QA US retail stores wants to reduce the cost of its testing Smarter Organization Test Automation US retail stores wants to reduce the cost of its testing through automation of regression suites and accelerators, and keen to under consumer behavior to increase its sales by 30% in next 3 years and “go-green” Smarter Organization Sustainability Digital Consumer Pervasive Computing Test Automation Progressive automation Mobile QA User Experience Analytics &BI An online banking provider does major restructuring of authentication mechanism for its payment gateway Digital Consumer Pervasive Computing Mobile QA Security QA Cloud QA Infrastructure QA Network QA 4
5. QA Innovation framework …. Process Innovation Technical Innovation Engineering 5 7 9 11.5 0 10 20 30 T1 T2 T3 T4 Incremental 17 23 30 Incremental with Shift TYPE & IMPACT Very Low to Low Medium to High WHERE? 1 QA Services Thought Leadership Governance People Development 2 3 4 Thro’ LEVERS LEADS to RESULTS in Client Count Revenue Productivity % QA Revenue Share Delivery KPI Gross Margin Domain Innovation Management 5 10 17 0 T1 T2 T3 T4 5 25 0 30 T1 T2 T3 T4 Transformational Medium to High Larger to Huge Competency QA Framework Collaboration Client N = 1 People Development 4 5 6 7 IP Adoption Publications Savings to Client New Offerings Value KPI 5
6. High Maturity QA Service Maturity Quadrant N = 1 N = Many N = Few N = All N = 1 means one preference for each user N = All means same preference for all users End User Context N = 1 means a customized process for a service N = All means same process for any service Process Context Evolved Innovative & Relevant Traditional Emerging Low Maturity N = Few N = All N = All means same process for any service N = 1 means getting into specifics of a service N = All means keeping it generic for a service Service Context Elementary Innovative 6
7. Evolution of Performance Testing ….. Performance QA Load/Stress / Volume Network Performance QA Infrastructure Performance QA Appliance: BI Reports: Data Center: Performance QA Packets & Switches QA Cloud Specialist Virtualization SME Web Application Performance QA Mainframe Performance QA Yesterday’s QA Team Today’s QA Team for 2-3 years Tomorrow’s QA Team for next 5 years Performance QA Data Warehouse Performance QA Mobile Performance QA Server Performance QA Mainframe Performance QA Appliance: Teradata QA BI Reports: Cognos QA Platform Specific: IOS 5.0 Tablets: Under 9” Android Web Server Specific: Apache Database Specific: Oracle IBM zSeries AS / 400 7
8. Expectations from a QA Professional in a few years…. • Should have created or co-invented IPs and patents • Understands business and technology trends • Knowledgeable in tools • Partners with internal and external alliances • People manager Thought leader • Thought leader 8
9. THANK YOU Q&A kirankmr@infosys.com 9