Speaker

Raghavender Puchhakayala Puchhakayala

Raghavender Puchhakayala Puchhakayala

Senior Member IEEE / JPMorgan Chase

Dallas, Texas, United States

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I am a seasoned professional with over a decade of experience in Data Warehousing, Business Intelligence (BI), and Analytics across industries such as Banking, Healthcare, and Retail. Currently, I work as an Analytics Solutions Associate Sr. at JP Morgan Chase, where I have led BI system migrations, executive dashboard development, and data optimization initiatives. My expertise spans Tableau, Business Objects, Cognos, and PL/SQL, with a strong focus on data governance and AI-driven analytics to enhance decision-making and operational efficiency.

I hold a Master’s degree in Computer Science from the University of Missouri-Kansas City and have earned certifications in Tableau, Microsoft Azure, AWS, and Alteryx. As an active IEEE member and peer reviewer, I am committed to advancing technology by contributing to technical reports, research publications, and mentoring. I am passionate about driving BI transformation projects that enable data-driven strategies, regulatory compliance, and business innovation.

Area of Expertise

  • Business & Management
  • Information & Communications Technology
  • Physical & Life Sciences

Topics

  • Data Analytics
  • Big Data
  • Data analysis
  • BI & Analytics

Unlocking Business Insights: Harnessing BI Tools and AI for Strategic Decision-Making

In today's data-driven world, the ability to extract actionable insights from complex data landscapes is crucial for business success. This session will explore how cutting-edge Business Intelligence (BI) tools and AI technologies can be leveraged to enhance decision-making processes across industries such as banking, healthcare, and retail. Drawing from over a decade of experience in designing executive dashboards and optimizing data models, I will share practical strategies for integrating BI systems with AI-driven analytics to unlock valuable business insights. Attendees will gain insights into the full SDLC of BI systems, from analysis and design to implementation and migration, ensuring seamless transitions and improved data accessibility. Real-world case studies will demonstrate the transformative power of BI and AI in driving innovation and efficiency.

Key Takeaways:

How to integrate BI tools with AI technologies for enhanced decision-making
Real-world examples of BI and AI impact across banking, healthcare, and retail
Strategies for optimizing data models and reporting solutions
Overcoming challenges in data integration and migration

Modernizing BI: Migrating from Legacy Reporting Tools to Open Source and Cloud-Based SQL Analytic

Still using legacy BI tools like Business Objects or Crystal Reports? Learn how to future-proof your reporting stack by migrating to open-source and cloud-native solutions like JasperReports, Tableau Public, and Python-based visualizations. This session explores how SQL developers and BI analysts can design scalable analytics pipelines, integrate with cloud services (AWS, Azure), and enhance reporting performance—while reducing licensing costs.

We’ll walk through:

SQL-driven report design and optimization for modern platforms

Migrating legacy SQL-based reports to cloud/open source tools

Use cases combining PL/SQL, Python, and JasperReports/Tableau

Governance, performance tuning, and dashboard interactivity best practices

Cloud options for BI orchestration using SQL Server + Azure Data Services

You’ll leave with a roadmap and practical tips to modernize your analytics systems with minimal disruption.

From Enterprise BI to Open Source Powerhouse: Modernizing Analytics Workflows with JasperReports, Py

This session shares the journey of modernizing legacy business intelligence systems by transitioning from enterprise BI tools (like Business Objects) to open-source, cloud-friendly solutions. We’ll dive into how JasperReports, Python-based analytics, and open data platforms were combined to deliver scalable, cost-effective, and flexible data pipelines. Attendees will learn how to orchestrate reporting workflows, visualize insights with Python libraries, integrate cloud services (like AWS/Azure), and maintain governance and performance at scale.

This talk will also showcase best practices for building operational dashboards, managing open-source BI migration, and fostering adoption within organizations. Expect real-world stories, lessons learned, and a blueprint for bringing open-source analytics into traditional data ecosystems.

Bridging Legacy BI with Modern Cloud Data Stacks: A Practical Guide to Migration and Insight Deliver

In this session, we’ll walk through how organizations can modernize their BI and reporting infrastructure by transitioning from legacy tools like Business Objects to cloud and open-source platforms like JasperReports, Tableau Public, and Python analytics libraries. I’ll demonstrate how to design scalable, interactive dashboards, build efficient data models, and create cloud-integrated pipelines using AWS and Azure services.

We’ll explore how to:

Migrate BI assets to modern tools without disrupting users

Design impactful dashboards and reports for diverse stakeholders

Integrate Python for data analysis and automated reporting

Leverage Azure and AWS for storage, orchestration, and scalability

Maintain governance and reliability during transformation

This session is ideal for beginners to intermediate users interested in building a modern data stack and delivering actionable insights through BI modernization.

Unlocking the Power of Quantum Computing: From Theory to Real-World Applications

Explore the transformative potential of quantum computing! From cutting-edge research to open-source tools, learn how quantum algorithms are solving problems beyond classical computing’s reach. Join us to demystify the future of computing!

Transforming Quantitative Data Analytics with AI: From Insights to Actionable Decisions

Discover how AI is revolutionizing quantitative data analytics! Learn how machine learning models are unlocking deeper insights, improving accuracy, and driving smarter decisions in finance, healthcare, and beyond.

Data-Driven Innovations: Pioneering the Future of Analytics

In this brand new session, I, Raghavender Reddy, will explore cutting-edge advancements in data analytics and their transformative impact on business intelligence. Attendees will gain insights into the latest tools and techniques that are shaping the future of data-driven decision-making. I will delve into unreleased features and strategies that are set to revolutionize the way organizations harness data. Join me to discover how to leverage these innovations to drive efficiency, scalability, and competitive advantage in your data operations. This engaging and informative session promises to equip you with the knowledge to stay ahead in the rapidly evolving data landscape.

Raghavender Puchhakayala Puchhakayala

Senior Member IEEE / JPMorgan Chase

Dallas, Texas, United States

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