Adaptability to changing data sources and maintenance of source nomenclature, quality, and trust.
Unable to manage numerous databases and different programming platforms.
Unsure of how to navigate the cloud adoption journey in an expanding, multi-cloud environment.
Loss of customer experience because of poorly optimized data applications.
Increase data trust through superior definitions and well-maintained data integrity, usability, and reliability.
Reduce overheads and project risks through end-to-end skills and work management by a single vendor.
Accelerate cloud migration and adoption through multi-cloud and multi-tech service delivery and partnerships.
Optimize operational cost through application scaling and continuous monitoring.
Ingestion of all types of data and databases onto data lakes and data warehouses to make decisions quicker and easier with current, consistent data. These connectors are generally deployed in cloud platforms using tools like AWS Lambda, GCP Cloud Functions, Azure functions, etc.
High performance data pipelines using AWS Glue, GCP Dataflow, or equivalent, to automate data validation, transformation, and unification processes. These connect popular data lakes including AWS S3, GCP Cloud Storage, Azure Blob Storage with equivalent data stores such as BigQuery, AWS Redshift, etc.
Maintain a data health check at ingestion time to score and identify bad data sources as well as data refresh and augmentation to prevent data quality depreciation over time
A comprehensive view of customers, products, channels, and campaigns, deployed in platforms like BigQuery, MS SQL, AWS RDS etc. Integrate different analytics and AI/ML applications like AWS Sagemaker, Azure Databricks, GCP Vertex etc.
MVC architecture-based, enterprise grade, and low-latency cloud applications that leverage options including MongoDB NoSQL databases, Neo4J graph databases, and PostgreSQL Redshift databases.
A highly skilled team of engineers certified across multiple clouds and MarTech.
Proven business Use Cases from an array of industries using clouds like AWS and GCP .
Reusable connectors compatible with a wide variety of marketing, advertising, and e-commerce platforms.
Data governance, output quality control rigor, and workload automation and optimization.
Case Study | 01 Sep 2021
Case Study | 12 Aug 2021
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Case Study | 02 Dec 2020
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