Ignoring zero latency in web apps leading to significant loss of customer experience
Lack of skill set required to keep up with ever evolving technology
Lack of expertise required to climb up the cloud adoption journey
Not able to maximize investments in tools
End-to-end work management by single vendor reducing overhead and risks
Partnerships and services delivered across multi-cloud/ making multi-cloud adoption easier
Cost effective process to write script in zero latency
Speed-to-market on analytics implementation on cloud
Data analytics services that can be deployed for high performance requirements like zero latency real-time web apps
Ingestion of all types of data and databases onto data warehouses making it easy to make decisions quickly using current and consistent data. Fill up the questionnaire to get an estimate of the required data engineering efforts CLICK HERE
High performance data pipelines by automating data validation, ETL, and data combining processes
Achieving enterprise-level scalability by managing analytics workloads across on-premise, hybrid, and public cloud infrastructures
Single pod for multi-skill and multi-discipline
Partnerships and Certified engineers in cloud and martech
Proven track-record in managing and improving quality of marketing data
Reusable connectors/experience in connectors across marketing data vendors
