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MarketShare Leverages Altiscale Data Cloud for Enhanced Marketing Analytics
Technology Category
- Analytics & Modeling - Big Data Analytics
- Analytics & Modeling - Predictive Analytics
- Infrastructure as a Service (IaaS) - Cloud Computing
Applicable Industries
- Finance & Insurance
- Pharmaceuticals
- Retail
Applicable Functions
- Business Operation
- Product Research & Development
- Sales & Marketing
Services
- Cloud Planning, Design & Implementation Services
- Data Science Services
- System Integration
The Challenge
MarketShare's integrated optimization and attribution product was initially operated on another Hadoop-as-a-Service platform. However, inefficiencies in the infrastructure and issues with reliability and availability were making the product unstable. The MarketShare executive team found themselves losing confidence in their Hadoop infrastructure. Significant predictability, reliability, and availability issues with the Hadoop cluster were constantly dogging product development efforts. As big data parallel workloads are often difficult to debug and tune, MarketShare executives often felt a lack of visibility and confidence in its Hadoop infrastructure.
About The Customer
MarketShare is a global leader in advanced marketing analytics technology, helping large companies measure, predict, and dramatically improve marketing’s impact on revenue. The company combines advanced analytics technology, scientific leadership, and deep domain expertise to serve some of the world’s biggest brands across various industry sectors such as retail, finance, travel & leisure, pharmaceuticals, automotive, and technology. MarketShare has teams of senior technologists, engineers, marketing scientists, and marketing executives with unrivaled experience in helping companies generate more revenue through improved marketing performance. The company is also an industry leader in implementing and managing highly sophisticated, predictive analytics systems and technology at a very large scale.
The Solution
MarketShare selected the Altiscale Data Cloud to provide them with a more reliable always-on solution and the system support they needed to ensure their product would be successful, at a cost far less than the previous Hadoop infrastructure provider. The Altiscale solution was immediately accessible by the company’s technical and data science teams, and provided them with a stable Hadoop infrastructure that handles their complex and difficult workloads. Altiscale’s purpose-built solution energized the project with a solution that was more stable and predictable. Because Altiscale is purpose-built for Hadoop, data is stored directly in Hadoop’s HDFS file system and is immediately and reliably available to MarketShare’s team of senior technologists, data scientists, and engineers. Altiscale’s infrastructure and comprehensive support provided MarketShare with a Hadoop service that could handle the most complex and difficult workloads. The Altiscale solution also produced cost savings. Because Altiscale is more efficient, it consumes fewer resources, and ultimately costs less, than the more inefficient Hadoop-as-a-Service offering.
Operational Impact
Quantitative Benefit
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