Industry Use Cases

Quanta has deep experience across a wide range of use cases in nearly every industry.  A look at our experience page will help identify the broad range of expertise your company can leverage. Our engineers and program managers tailor each use case to achieve real business value that can be measured and quantified. Although use cases all have similar characteristics, the Quanta team insures that the unique goals of your business are integrated into a customized big data transformation plan.

Please contact us for a free consultation about the use case(s) that will deliver the most impact to your business

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Database Savings 

This is Quanta's first use case recommendation to any business with large amounts of stored data. Simply by migrating data from traditional relational databases onto a Cloudera open-source distributed architecture your IT department can save money and start the big data transformation.  The money you save during this migration will provide the funding for future use case deployments and is the foundation for any big data project in the future. Click the logos below to read more:

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Predictive Maintenance

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Also known as FDC (Fault Detection & Classification), this use case is designed to help determine the condition of in-service equipment in order to predict when maintenance should be performed. This approach promises cost savings over routine or time-based preventive maintenance, because tasks are performed only when warranted and before unexpected failures.   Click the logos below to read more:

Research & Development

While each industry has a unique product focus, they all work toward the innovation, introduction, and improvement of products and processes. Cloudera's open-source big data platform is especially nimble for R&D because of nearly unlimited scalability and the ability to ingest all data forms (structured & unstructured) which is critical for most R&D projects.
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Customer Churn

Customer churn occurs when customers or subscribers stop doing business with a company or service. Customer churn impedes growth and big data analytics can provide insight into how to lower churn and retain more loyal customers.
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Supply Chain Logistics

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Security Detection

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Big data is driving supply chain efficiencies as companies and suppliers produce and distribute products for consumers. Warehouses, truck fleets, retailers and ultimately the customers all benefit from the added data that can now be analyzed in Cloudera's open-source data platform resulting in to lower distribution costs and become more competitive.
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The more data you can analyze, the stronger your security detection can be.  New open source projects like Apache Spot are showing great promise with detecting anomalies across larger data sets and will compliment other security techniques within the enterprise.
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