The Good Tech Companies - Anoop Purushotaman Revolutionizes Cost Allocation with Big Data

Episode Date: July 22, 2025

This story was originally published on HackerNoon at: https://hackernoon.com/anoop-purushotaman-revolutionizes-cost-allocation-with-big-data. Anoop Purushotaman’s custom cost allocation solution cut processing from months to hours, redefining enterprise profitability analysis with big data. Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #enterprise-cost-allocation, #anoop-purushotaman, #big-data-architecture, #ibm-netezza-solutions, #profitability-analysis, #etl-pipeline-optimization, #financial-data-engineering, #good-company, and more. This story was written by: @sanya_kapoor. Learn more about this writer by checking @sanya_kapoor's about page, and for more stories, please visit hackernoon.com. Anoop Purushotaman led a $1.8M project to replace Oracle PFT with a custom big data cost allocation solution powered by IBM Netezza. The system processes billions of rows in hours, improving profitability analysis and flexibility. His innovative architecture enabled true cost transparency and set a new benchmark for enterprise data solutions.

This audio is presented by Hacker Noon, where anyone can learn anything about any technology. Anoop Parushadaman revolutionizes cost allocation with big data, by Sonia Kapoor. In the complex world of enterprise financial systems, the struggle to accurately determine true product and service costs has long plagued organizations relying on inflexible vendor solutions. The transformative success of a groundbreaking custom cost allocation application stands as a powerful testament to innovative thinking and technical leadership excellence. Under the guidance of data design lead Anup Parushottaman, this ambitious $1.8 million initiative revolutionized how the organization approaches profitability analysis and cost

allocation across diverse business units. The project emerged from critical limitations inherent in standard vendor provided allocation tools, particularly Oracle PFT, which lacked essential custom configuration capabilities and struggled with unconventional data loads typical of big data environments. Traditional profitability systems could only process a few thousand rows at a time, forcing finance teams to chunk data into smaller batches and run multiple laborious iterations that often took months to complete. Anoop Parushadaman recognized that these constraints were fundamentally limiting the organization's ability to make informed, data-driven profitability decisions. Innovative technical architecture and design At the core of this transformation was Anoop Parushadaman's visionary approach to big data architecture and enterprise system design.

Taking on the critical role of data design lead, he spearheaded the development of a sophisticated solution based on IBM NetEase technology, capable of handling 150 gigabytes of data compared to conventional profitability tools that could only manage a few gigabytes at a time. This represented a quantum leap in processing capability that would fundamentally change how the organization approached cost allocation challenges. The technical sophistication of Anoop Parushottaman's solution extended far beyond raw data processing power. He designed and developed comprehensive backend data storage components, sophisticated ETL pipelines for seamless integration of data from various internal data stores, and robust data security

rules to appropriately segregate data access based on user roles and organizational hierarchies. The application featured an intuitive front-end user interface that empowered business users to customize allocation rules based on a business unit-specific requirements, powered by a robust backend datastore built on NetEase and an advanced shell script and NetEase SQL-based data integration engine. Unprecedented performance and scalability results. The results of Anoop Parushadaman's technical leadership proved nothing short of revolutionary. The new system demonstrated remarkable scalability, capable of handling terabytes of data with billions of rows, compared to traditional profitability systems that could

only process a few thousand rows at a time. Most significantly, the enhanced system could complete complex profitability cycles in just a few hours, compared to the months required by traditional systems that forced users to break data into smaller batches and run multiple iterations. This dramatic performance improvement enabled finance users to create highly customized profitability rules for various customer-facing departments, including retail and institutional sales teams. The system's ability to leverage multiple attributes from enterprise data sources provided unprecedented analytical depth and flexibility,

empowering decision makers with comprehensive insights that were previously impossible to obtain within reasonable timeframes. Professional growth and technical mastery for Anoop Parushottaman personally, this project represented a significant expansion of his technical expertise and leadership capabilities. The initiative provided him with valuable experience working with big data MPP, massively parallel processing, systems like NetEase, marking a strategic evolution from his previous experience with traditional databases such as Oracle and MSSQL Server. This transition to advanced big data technologies positioned him at the forefront of enterprise

data architecture evolution. The project also deepened Anuparushottaman's expertise with NetEase SQL, a powerful MPPETL tool that can be optimized for big data workloads. His mastery of this technology enabled him to design highly efficient data processing workflows that maximized the system's capabilities while ensuring optimal performance across diverse business scenarios. Strategic Impact and Organizational Transformation The strategic implications of this project's success extended far beyond immediate technical achievements. By breaking through the constraints of vendor-provided solutions, Anoop Parushottaman enabled the organization to achieve true cost transparency and profitability insights that had

previously been unattainable. The custom application's flexibility and scalability positioned the enterprise to adapt quickly to changing business requirements while maintaining comprehensive analytical capabilities. The project's success garnered recognition from senior leadership and established new standards for custom enterprise application development within the organization. The seamless integration of big data technologies with user-friendly interfaces demonstrated Anoop Parushottaman's unique ability to bridge complex technical solutions with practical business needs. Innovation through persistent problem solving. This achievement exemplifies Anoop Parushottaman's approach to tackling complex enterprise challenges through innovative thinking and persistent problem-solving.

His recognition that traditional vendor solutions were fundamentally inadequate for the organization's evolving needs led to the development of a transformative custom solution that delivered measurable business value while establishing new technological capabilities. The project's success validates the principle that strategic technical leadership, combined with deep understanding of business requirements, can overcome seemingly insurmountable limitations in enterprise systems. Anopurushottaman's ability to envision and execute a solution that dramatic all-out performed existing alternatives demonstrates the power of innovative thinking in enterprise data architecture. Looking forward, setting new

standards for enterprise solutions. Looking ahead, setting new standards for enterprise solutions. Looking ahead, the implications of this custom application success extend far beyond immediate operational improvements. The project demonstrates how visionary technical leadership can transform enterprise capabilities while establishing scalable foundations for future analytical initiatives. ACE organizations increasingly require flexible, high-performance data processing solutions. This custom cost allocation application serves as a compelling example of how expert technical execution can deliver transformational results in enterprise

financial systems. The cost allocation project stands as a testament to Anup Parushottaman's technical expertise, innovative problem-solving, and commitment to delivering enterprise solutions that drive measurable business outcomes. His ability to navigate complex technical challenges while creating user-friendly, scalable solutions exemplifies the strategic thinking and execution capabilities that define successful enterprise transformation in today's data-intensive business environment. About Anoop Parushottaman, a distinguished enterprise data engineering leader with over 20 years of experience in designing and implementing complex data systems, Anoop Parushadaman has established himself as a leading expert in custom enterprise solution

development and big data architecture. With deep expertise spanning financial systems, advanced analytics, and enterprise data integration, Anoop specializes in creating innovative solutions that overcome the limitations of traditional vendor-provided tools. His comprehensive technical proficiency encompasses extensive experience with big data technologies including IBM NetEase, traditional enterprise databases such as Oracle and MS SQL Server, and modern data integration frameworks. Recognized for his ability to bridge complex technical solutions with practical business requirements, Anoop excels at leading enterprise transformation initiatives that deliver measurable performance improvements and strategic business value through innovative data architecture

and custom application development. This story was distributed as a release by Sonia Kapoor under Hacker Noon's business blogging program. Thank you for listening to this Hacker Noon story, read by Artificial Intelligence. Visit hackernoon.com to read, write, learn and publish.