DataFactZ

DataFactZ was hired by a managed services company to augment their staff with Talend expertise for several projects. The company initially described their needs to DataFactZ, who then provided several candidates that could meet their requirements. The company primarily worked with one person for four months and another for eight to nine months. The engagement, which started in April 2019 and ended in November, cost around $200,000. The client found the process seamless and was satisfied with the services provided by DataFactZ.

DataFactZ partnered with a global marketing and customer relationship agency to augment their staff on some projects. The company engaged DataFactZ to assist with data integration, management, and visualization, using technologies like Tableau and SQL. They also worked in larger data environments like Snowflake. The team size varied from 5 to 10 people depending on the project. The partnership, which began in May 2016, has been successful so far, with DataFactZ ensuring the agency has the right skills and resources for every product they want to deliver.

A bank hired DataFactZ to develop a predictive model to identify customers most likely to withdraw deposits. DataFactZ analyzed several months of historical customer data, ran a statistical analysis to identify the most influential variables for predicting attrition, and used R to create the deposit attrition model. The bank's main point of contact was a data scientist, who had a team of 2-3 people. The project, which ran from October 2016 to February 2017, cost $31,000, but the total value was estimated to be double that amount. The bank was pleased with the results and appreciated DataFactZ's willingness to invest in the project to establish a business relationship.