No two data analytics solutions are identical. While the same underlying technologies are widely used across many companies, the nuances of their business domains drastically impact how these tools and technologies are implemented and make the difference between successful data-driven organizational cultures and ones that flounder. Our consultants are obsessed not only with the technical aspects of the implementation and mastery of all the relevant AWS technologies, but also with making sure your make the right choices that fit your needs and lead to pervasive adoption of data analytics to achieve transformational results. From choosing and implementing the right database whether it is RDS, Redshift or DynamoDB or MongoDB and Elsaticsearch to making the most out of Quicksight by integrating SageMaker models in your data visualization, we can quickly get you on the right path to success with analytics on AWS.

Our team provides assessments, roadmaps, and implementation services to align your companies’ objectives with the benefits of a cloud data solution. We can deploy our custom-built data visualization portal and data harmonization tool on your AWS cloud to help speed up the implementation and adoption of analytics data assets.

We work with you to understand your situation, business landscape, technical capabilities and stacks and will understand your people, technology and process domains, strengths and gaps so we can advise on the most effective and efficient data analytics solutions that fit your specific need.

• Analysis of your current data and analytics landscape, maturity level, business needs and gaps
• Advise, strategy and implementation solutions around your data lake, lake house, data warehouse or other cloud data paradigms
• Data ingestion and storage leveraging S3 and beyond
• Advise and implementation services related to your AWS cloud databases:
  • From selecting the right RDS flavor to meet your needs, sizing your Redshift cluster or configuring DynamoDB to deploying CI/CD solutions for your data engineering team
• Data integration using Glue and other tools
• Advanced analytics, Machine learning and AI use cases with SageMaker
• Stunning data visualization solutions with Quicksight
• Analytics tools deployment on AWS EC2
• Data exchange interfaces
• APIs development for data access
• Lambda development for data pipelines support and other custom solutions