News & Insights
SAN RAMON, Calif.--(BUSINESS WIRE)--Grid Dynamics Holdings, Inc. (Nasdaq:GDYN) (“Grid Dynamics”), a global provider of digital transformation consulting and development services, has launched an advanced Analytical Data Platform solution in partnership with Amazon Web Services. The platform accelerates cloud migration of advanced analytics and AI applications and services. It enables companies to save time and reduce implementation costs in addition to lowering the risks associated with building advanced analytics capabilities from scratch. The Analytical Data Platform is publicly available on Amazon Web Services (AWS) Marketplace and is integrated with AWS Service Catalog for ease of enterprise adoption.
Areas of expertise
Analytical data platform is a pre-integrated solution available on AWS marketplace, that enables creation of modern platform for advanced analytics including DataOps, MLOps, Data Governance and Data Quality to acquire and manage enterprise data assets and consistently turn them into insights. The solution reduces data platform build-out work by 90% and allows to get to insights in weeks. These include customer analytics, price / promotions / marketing spend / supply chain optimization, fraud detection, computer vision, etc. Pre-integrated solution and battle-tested cloud-native technologies will guarantee higher quality, better reliability, and lower risk.
AWS is one of the top choices for enterprises wanting to move their workloads to the cloud. There are many architectural decisions to be made for this transition. Lift & shift vs re-platforming vs modernization of applications, selection of technology stack, etc. The best way to reap the full benefits of the cloud infrastructure and technology stack is to modernize applications, deployment, and change management processes during the migration. We have been helping clients across industries migrate to AWS for the last 15 years.
We specialize in helping our clients in optimizing enterprise operations using AI/ML methods by building these capabilities on top of data and analytics infrastructure on AWS. Examples of these include customer analytics, price / promotions optimization, marketing spend analytics, supply chain optimization, fraud detection and computer vision across retail, CPG & manufacturing, technology & media, banking, financial services and insurance industries.
Combining online and brick-and-mortar shopping into a fully omnichannel experience can create competitive advantages over digital native retailers. With customer experience playing an increasingly vital role as a brand differentiator, seamless consistency between channels is key. We help retailers create a unified and personalized experience for their customers, across channels with the help of headless microservices architecture on AWS.