Analytics & AI Transformation: Real-World Success Stories
Discover how NeenOpal empowers businesses with AI & Data-driven transformation.
7 case studies
Turning Foot-Traffic and POS Data into Real-Time Venue Intelligence
Ruchir HarbhajankaOur client operates a network of nightlife and hospitality venues, where each location generates massive volumes of foot-traffic and point-of-sale (POS) data every day. Without a unified way to translate this data into meaningful insights, decisions around staffing, promotions, and operations were largely reactive, cross-venue performance comparisons were nearly impossible, and revenue opportunities remained hidden inside fragmented data systems. NeenOpal partnered with the client to build a scalable, multi-tenant venue intelligence platform on AWS that transforms raw POS and footfall activity into real-time, decision-ready insights at the venue, region, and network level.
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Predicting Video Revenue Through Marketing Mix Modeling and Bayesian Forecasting
Himanshu BahmaniOur client, a media and entertainment company, sought to establish a scalable and repeatable process to predict video revenue based on varying marketing spend inputs. With multiple upcoming releases and limited visibility into which marketing channels drove the most impact, media planning decisions were largely manual and difficult to optimize. The client partnered with NeenOpal to operationalize a Marketing Mix Modeling (MMM) framework, enabling data-driven revenue forecasting, dynamic sensitivity analysis, and interactive scenario planning through a Tableau dashboard.
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Automated Ticket Invoice Processing & Analytics Using AWS Textract and Redshift
Livin LarsanA media and event-driven organization managing high-volume ticket sales receives periodic ticket invoices via email from multiple vendors and booking partners. These invoices arrived in semi-structured and unstructured formats (PDFs, scanned images, email attachments), making manual processing time-consuming, error-prone, and non-scalable. To address this, we designed and implemented a fully automated, serverless data pipeline on AWS that ingests invoices from email, extracts structured data using OCR, Custom Scripts, and NLP, stores curated datasets in Amazon S3, and loads analytics-ready data into Amazon Redshift. This enabled descriptive analytics and downstream ticket sales forecasting with strong governance, observability, and cost efficiency.
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Autonomous Metadata Enrichment with Agentic AI
Varsha DOur client, a prominent entertainment company, faced persistent delays and quality issues caused by incomplete metadata within critical content systems. Manual efforts to validate and enrich records created bottlenecks and limited scalability. We built an autonomous data enrichment solution using agentic AI that detects missing fields, extracts reliable information from trusted sources, and updates databases with validated, confidence-scored insights.
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Transforming Ad Performance Analytics with Amazon Q
Monish MohantyA global advertising team sought a more efficient way to access campaign performance data across platforms like Google, Meta, and TikTok. Traditional dashboards required SQL knowledge and manual analysis. With NeenOpal, they adopted Amazon Q an AI assistant that enables natural language queries, automated reporting, and contextual insights, leading to faster and more reliable decision-making.
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Optimizing Vendor Metadata for Enhanced Content Discoverability
Muneeb QaziOur client, a prominent entertainment company, offers a unique blend of streaming and on- demand content, integrating material from cable, satellite, and streaming platforms. They work with several vendors to receive content metadata. The main objective of this project was to evaluate the vendor metadata provided for various programs against predefined benchmarks to assess its accuracy and reliability.
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Transforming Entertainment Analytics with NeenOpal's QuickSight Expertise
Subhojit DeyOur client, the leading independent promoter of live entertainment in North America, partnered with NeenOpal to transform its data visualization and reporting capabilities. Specializing in comedy, festivals, and music, our client sought to leverage data from its entertainment events to drive strategic decision-making, optimize operations, and enhance client services.
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