Datametica is a global leading data warehouse migration and advanced analytics firm that enables companies to transform their legacy business data and analytics to the cloud, and in turn, improve enterprise efficiencies, reduce costs and enable new advanced use cases. Over the years, the firm has innovated and developed tools and automation capabilities for data warehouse modernization to the GCP Cloud. It offers Eagle, Raven, Condor, and Pelican tools to discover unknown complexities and validate data sets, move data to the GCP Cloud, automatically convert SQL and other code to Google BQ, validate data at the Petabyte scale, and significantly decrease the time, risk and cost of migration. “Our proprietary tools expedite migration processes that decrease delivery time by half,” says Shelley. Organizations often holdback migration processes due to the risk of failure during cloud transformations that often damage or disrupt businesses and increases operational costs. However, with automated tools, Datametica can now accomplish migration of large traditional systems in weeks, reducing the long-standing time and cost constraints for organizations. The firm’s modus operandi of executing projects by splitting migration processes into small sprints allows it to reduce the risk of duplication and data loss.
Prior to delivering solutions, Datametica conducts a workshop with clients to understand their needs. Its team carries out discovery and cloud migration planning utilizing its automation tools and creates a detailed strategy and sprint plan in a collaborative process leading to clients’ approval, all in four weeks or less in some cases. The clients are provided with information such as sprint durations, users, ETL and objects to be moved in each sprint, cost of Google cloud, and more.
We were practitioners of data migration solutions, and therefore, we understand end-users’ needs while devising best practices for our clients
Since the inception of Datametica, its feature-rich solutions have empowered organizations in modernizing their dated systems and maximizing return on investments through collapsing data silos, eliminating of wasteful and expensive legacy systems, and adopting Google Cloud technologies for advanced analytics use cases. One such association with State Auto Mutual Insurance Company that offers insurance products in 33 states best demonstrates Datametica’s capability in delivering Google technology solutions. Along with moving legacy solutions to the cloud, the challenge was to eliminate data silos. Datametica assisted the client in warehouse migration that resulted in decreased development time and cutting in half data warehouse costs. In addition, Google’s BigQuery—a power data analytics service—reduced query execution time by up to 90 percent, thereby, enabled the client to more effectively and efficiently process customer insurance policies.
Datametica is committed to further enhancing its tools and reducing the project implementation time by more than half while continuing to double sales in the forthcoming years. In the future, Datametica plans to increase its workforce and expand its footprints to different geographical regions. “Our next milestone is to accelerate our cloud transformation processes and cut project execution time by half again,” concludes Shelley.