Affini-Tech's Affordable and User-Friendly Big Data Analysis for Retailers with Google Cloud Platform

Affini-Tech's customers are businesses across various industries that need to make data-driven decisions. They require easy workflows and web-based interfaces for analyzing and managing Big Data at a cost that makes sense for their businesses. Many of these customers are marketing companies that want to run their software on top of Affini-Tech's platform. They are used to spending more than $250,000 to build a data analytics platform. Many of them are already using Google Apps, and Affini-Tech integrates their data platforms into Google Apps, making these tools even easier to use and understand.

Affini-Tech, a France-based company, was founded with the primary goal of helping businesses make data-driven decisions. To achieve this, they needed to provide their customers with easy workflows and web-based interfaces for analyzing and managing Big Data at an affordable cost. However, they faced the challenge of finding a scalable solution for building applications and analyzing information. They initially explored several cloud vendors and even deployed storage on another large public cloud. But they needed a platform that was not only competitively priced but also developer-friendly and integrated for building complex applications.

After trying and speaking with the Google Cloud Platform team, Affini-Tech decided to go all-in with Google. They found Google's pricing to be the most competitive and the platform to be the best for their developers. Google App Engine, Google Compute Engine, and Google BigQuery provided an integrated technology stack that worked better than anything else on the market. They used App Engine to build applications that help their customers control their data collections, model data sets, and filter and group data. These applications were sold to marketing companies that wanted to run their software on top of Affini-Tech's platform. Google Cloud Platform also helped them generate data findings at a faster rate by storing data in Google Cloud Storage, creating ephemeral Hadoop and Apache Spark clusters, and then pushing the data into BigQuery for analysis. This approach provided a more efficient, flexible, and cost-effective processing model than traditional static clusters.

• The use of Google Cloud Platform has not only made Affini-Tech's products and services more competitive but also enabled them to pass on cost savings to their customers. This has allowed their customers to delve deeper into their data analytics, creating things like micro-segments in their customer base for better marketing campaign targeting. The integration of Affini-Tech's data platforms into Google Apps has made these tools even easier to use and understand. As a small company, the support they receive from the Cloud Platform team is helping them think bigger, enabling them to build new tools and platforms that take advantage of big data. They are now planning to expand their business beyond France and the retail sector, confident with the Cloud Platform doing the heavy lifting.

• Affini-Tech can provide the same service that customers are used to spending more than $250,000 for just $2,000 per month.

• Customers only have to 'pay as they process,' which saves them money.

• Traditional clusters can take days to install, whereas Affini-Tech can get ephemeral clusters up and running in just minutes.