Data Analytics Case Studies
Real-world success stories showcasing how data analytics drives business transformation across industries.
Showing 13 case studies
Inventory Lot Size Optimization for a Global Industrial Manufacturer
How a global manufacturer freed working capital and recovered warehouse space by optimizing SAP lot sizes using demand variability analysis and a repeatable Alteryx-to-Tableau analytics workflow.
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Thanksgiving & Black Friday Sales Analytics: Real-Time Campaign Monitoring
A real-time Tableau dashboard on Salesforce and SQL Server data helped a retailer monitor hourly Black Friday sales and plan next year's strategy.
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SAP Inventory Optimization: Reducing Consignment Exposure
An optimization model built with Alteryx and R helped a manufacturing plant reconcile SAP stock while minimizing consignment exposure.
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3PL Digital Transformation: Data Analytics & Automated Invoicing
Discover how a U.S. 3PL company eliminated revenue leakage, automated invoicing, and gained real-time margin visibility.
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Affiliate Marketing Dashboards: Unified Performance Tracking
Learn how affiliate teams replaced spreadsheets with unified dashboards to track performance across networks, identify profit leaks, and optimize ROAS.
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HitPath to Everflow BI Migration for Affiliate Tracking
Unified HitPath and Everflow data into one BI system with migration monitoring dashboards, ensuring reporting continuity throughout the platform transition.
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Email Marketing Data Management for Affiliate Publishers
How we helped email marketing publishers manage high-volume campaign data with scalable pipelines, centralized storage, and automated BI reporting.
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Multi-Channel Retail Profitability: Amazon vs Wholesale Analytics
A US retailer used Tableau to compare Amazon and wholesale profitability, uncovering margin differences that reshaped their distribution and pricing strategy.
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Amazon Ads Reporting with Power BI for Food & Beverage
How a snack manufacturer replaced manual Amazon Ads tracking with automated Power BI dashboards to optimize spend, measure ROAS, and guide marketing decisions.
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Healthcare Data Warehouse: GA4 & CRM in BigQuery
Discover how we built a healthcare data warehouse in BigQuery, integrating GA4, CRM, and app analytics to optimize subscriptions and reduce churn.
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Car Rental Marketplace BI: Startup Analytics with Power BI
We built the analytics stack for a car rental marketplace using MongoDB, Python, MariaDB, and Power BI to centralize operations and enable data-driven growth.
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BI Finance Reporting for a Multinational Affiliate Network
Automated multinational financial consolidation for a US affiliate network. Replaced manual spreadsheets with dynamic BI dashboards for revenue and margins.
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Marketing Automation with RFM Segmentation for a Coffee Chain
How we helped a coffee shop chain connect POS data, build RFM segmentation, and automate SMS campaigns that reduced churn by 10% and grew revenue 12%.
Read case study →What Our Clients Say
Witanalytica has been an excellent partner in managing and optimizing our Tableau environment. Their team’s technical expertise and proactive support have streamlined our reporting processes, improved dashboard performance, and provided valuable insights to our business. Their responsiveness and deep understanding of data analytics make them a trusted extension of our own team.
Mark Lack
Director of Data Analytics and AI, The Ubique Group
Witanalytica helped us transition from Excel to a dynamic dashboard, allowing us to view all the relevant data and the KPIs that we track as a business. Instead of having our developers code an interface for weeks, we can now instantly accomplish this process through an interface, eliminating the need for manual coding.
Radu Albastroiu
Startup Founder, masinilacheie.ro
Witanalytica’s expertise in big data engineering and visualization complements our digital media audit and customer analytics services. Collaborating with them allows us to deliver end-to-end analytics solutions and services, without the risks and investments associated with building these capabilities in-house.
Silviu Toma
Senior Partner, Microanalytics
Working with Witanalytica has transformed our approach to reporting. Their expertise in PowerBI enabled us to go beyond the limited capabilities of Excel, allowing us to provide our clients with dynamic and visually captivating PowerBI dashboards. This capability has facilitated rapid testing, iteration, and the collection of customer feedback to improve our platform.
Alin Rosca
Startup Founder, RepsMate
Working with Witanalytica has been a consistently positive experience. They are responsive, professional, and approach every revision with patience and precision. What sets them apart is a strong understanding of supply chain management, inventory planning, and sales operations, which makes collaboration efficient and ensures deliverables align with real business needs. They have also worked effectively across multiple departments in our organization and manage a 6-7 hour time zone difference seamlessly. I would confidently recommend them to any organization seeking a skilled and dependable analytics partner.
Rubin Chen
Supply Chain VP, The Ubique Group
Case Studies FAQ
We work across logistics, e-commerce, affiliate marketing, healthcare, retail, finance, food & beverage, and SaaS startups. Our data analytics methodology adapts to each industry while following proven architectural patterns.
It depends on scope. A focused dashboard or reporting project typically takes 4 to 8 weeks. A full data warehouse build with multiple integrations usually takes 3 to 6 months.
We start every engagement with a discovery phase that maps out your data landscape and defines measurable goals, so timelines are realistic from day one.
We prefer to work with what you already have. Whether you use Snowflake, BigQuery, Power BI, Tableau, or a custom stack, we integrate and extend rather than rip and replace. If a tool is genuinely holding you back, we will recommend alternatives with a clear migration path.
Revenue leakage happens when billable activities go unbilled due to manual processes, disconnected systems, or inconsistent logic. In logistics, this could be missed driver wait times. In affiliate marketing, it could be untracked conversions. Our analytics pipelines capture everything systematically so nothing falls through the cracks.
Yes. Several of our projects involve migrating data from legacy platforms to modern warehouses without losing historical continuity. We extract, standardize, and model legacy data so it joins seamlessly with new sources in a unified reporting layer.
We define KPIs during discovery and track them throughout. Common metrics include time saved on manual reporting, billing accuracy improvements, margin visibility gains, and adoption rates of new dashboards. Every case study above ties back to measurable business outcomes.
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