We have been helping our customers innovate faster by harnessing the power of big data and artificial intelligence (AI). To strengthen our offerings, we got into a strategic partnership with Databricks, a prominent platform for advanced analytics and data solutions and services, to bring state-of-the-art data, analytics, and AI solutions and services to our clients.
With Databricks, our clients get faster time-to-value because we build analytic processes for them that span from ETL to interactive exploration to production. Our data science teams easily interact with data engineers and lines of business to produce data solutions using Databricks which is a unified analytics platform powered by Apache Spark.
Using these superior data analytics solutions, our analytics experts assist organizations in accelerating their digital transformation and application modernization journey. With the support of Databricks, we help clients overcome the key pain points of flexible data consumption. Databricks offers flexibility in terms of seamless cloud integration, familiar language and environment, increased productivity and collaboration, easy Microsoft stack integration, and additional data sources coverage.
Our collaboration is also fueling advancements in the development of best-in-class analytics products and solutions utilizing Databricks.
Helping an Australian fast fashion brand manage its product life cycles
Our predictive model is helping them manage the lifecycle of their new launches. We have delivered many descriptive analysis reports through interactive Power BI dashboards having 99.8% accuracy, helping them drive daily activities of supply planners. Our entire ML pipeline helps them to accurately predict future sales and required future stock
130% Increase in active user base with modern data architecture for a fleet management firm
With Aays as a strategic partner for Data Technology, the company achieved critical milestones in its analytics transformation program which resulted in a huge upliftment of client sentiments, increase in analytics adoption of its active user base and improved visibility for tracking and cost management.
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