By eliminating several manual, labor-intensive steps in the process, we can now manage up to five times as many environments with the same staff at a much higher level and with a lower risk profile.
Download the full report to learn how Accordant Media gained three to five times improvement in analytical response times, while reducing implementation and maintenance by 80 percent.
Accordant Media analyzes billions of data points from programmatic auctions along with data related to target audience activities to help its clients optimize delivery of the right messages, to the right audiences, at the right times. Analytics speed and accuracy are crucial to optimizing ad visibility and response rates cost effectively.
Accordant Media was using a cloud-based Hadoop infrastructure that required numerous time-consuming, labor-intensive tasks, which carried the potential for quality control issues. The company needed a solution with the same or better analytical functionality from their existing infrastructure but with greater speed and precision, and less manual setup and maintenance.
Accordant Media chose to shift it existing client environments from a MapReduce Hadoop model to Snowflake’s SQL-driven data warehouse, which eliminated many of the manual, time-consuming, labor-intensive steps required to provision, maintain, and provide quality assurance to their clients’ technical environments.
Snowflake reduced the time required to implement, provision, and maintain a client environment by 80% and increased processing speeds three to five times. This enabled the analytics team to run multiple analytical workload iterations to compare and contrast results from different points of view, boosting client confidence and improving the performance of their advertising campaigns.
In addition to addressing Accordant Media’s current data warehousing needs, Snowflake enables the organization to maintain its margins and productivity as the company adds clients and expands into new markets.