How a Fort Lauderdale data startup transformed hours-long data processing into a fully automated Azure pipeline — delivering real-time market intelligence to U.S. auto dealerships.
SERVHoldings converts complex data sets — location data, internet traffic, and behavioral signals — into customer insights that help U.S. auto dealerships optimize their sales pipelines. As the company scaled, data processing became a bottleneck: enriching and refining the volumes required for high-value market intelligence was taking hours per run, limiting delivery frequency and driving up costs. MacondoTek provided cloud architecture services and a C#/.NET development team, delivering a fully automated data platform on Microsoft Azure that reduced processing time from hours to minutes.
SERVHoldings is a data collection and enrichment firm headquartered in Fort Lauderdale, Florida, founded in 2023. The company specializes in transforming complex data sets — including location and internet traffic data — into actionable customer insights that help U.S. automobile dealerships optimize their pipelines and sales processes. SERVHoldings operates entirely on Microsoft Azure with C# as its primary development language.
MacondoTek is a cloud consulting and professional services firm headquartered in Atlanta, USA, with nearshore delivery teams across Latin America, specializing in cloud architecture, data platforms, and application modernization on AWS. As an AWS Advanced Tier Partner with Service Delivery Program designations for Amazon RDS and Amazon DynamoDB, MacondoTek supports organizations across the full cloud lifecycle, from migration through cloud-native development to 24/7 managed operations. Its proprietary MTK CloudOpps platform powers FinOps and cost governance engagements with enterprise-wide visibility across large multi-account AWS environments, including deep experience serving financial services organizations that must balance reliability, security, and compliance with cost optimization.
SERVHoldings converts complex data sets — including location data and internet traffic signals — into customer insights that help U.S. auto dealerships optimize their sales pipelines. As the company scaled its data operations, processing times became a critical bottleneck: ingesting, enriching, and refining the data volumes needed to produce high-value market intelligence was taking hours per run. This limited how frequently insights could be delivered to clients and drove up operational costs.
The company needed a development team and cloud architecture to automate the full data pipeline — ingestion, storage, and refinement — on their existing Microsoft Azure stack, with C# as the implementation language. They also required proper CI/CD and release management to support ongoing product development with confidence.
MacondoTek provided cloud architecture services and a skilled C#/.NET development team, designing and building a complete automation of SERVHoldings’ data platform on Microsoft Azure. The solution reduced data processing time from hours to minutes and introduced production-grade DevOps practices from day one.
The solution included:
With the automated Azure platform in place, SERVHoldings processes and delivers market intelligence in minutes rather than hours — enabling more frequent, higher-value data products for auto dealership clients. Manual processing overhead was eliminated, reducing operational costs and freeing the team to focus on expanding the product.
Azure DevOps pipelines provide ongoing release management and integrated testing, giving the team the confidence to ship new features quickly without sacrificing reliability. The platform positions SERVHoldings to scale data volumes and add new intelligence sources as the company grows — without re-architecting the core pipeline.
MacondoTek provided both cloud architecture and a C#/.NET development team — covering the full stack from data ingestion pipelines to the front-end static web app, all natively on Microsoft Azure.
Azure Data Factory and Function Apps replaced manual, hours-long processing with an automated pipeline that runs in minutes — enabling SERVHoldings to deliver fresh market intelligence at the frequency their clients demand.
Extensive API integrations connect location data, internet traffic, and external data sources into a unified enrichment pipeline — turning raw signals into actionable dealership insights.
Azure DevOps pipelines for production and non-production slots provided release management, integrated testing, and deployment control from the start — critical for a startup needing enterprise reliability without a large ops team.
