Modern Data and Analytics

Many organizations’ data and analytics capabilities have not kept pace with broader enterprise digital modernization initiatives, the amount of data being collected, or the speed in which innovation needs to occur to remain competitive in their industry. The need to automate manual reporting processes to address workforce shortages or cost cutting priorities, or the need to provide a better customer experience to increase customer acquisition, or provide personalized products to increase customer loyalty and decrease churn requires modern capabilities to acquire, process, transform, and model data and produce useful, prescriptive data products. The combination of AWS platform services, like Redshift, Lake Formation, Athena, SageMaker, and Machine Learning, and Lovelytics, as an AWS select partner, can meet any customer where they are on their journey toward a modern data analytics architecture and help them achieve business outcomes.

How We Enable:

• Assess and Roadmap - The sheer size, complexity, and level of effort required to realize the promise of digital transformation can make it challenging to understand where to begin. Leverage experts to help you understand where you are relative to your peers and today’s possibilities and to establish a target-state and plan to get there to help guide you towards the most business-impactful technology decisions and business priorities.
• Adopt and Migrate/Implement - Leverage certified technologists to jump-start innovation by migrating off legacy warehouses to a modern, cloud-hosted data platform to transform, manage, and govern data to fully unlock more advanced data architectures and the necessary data for AI.
• Data-powered Capabilities - Leverage best practices for data architecture, data modeling, and visualization with core metrics and KPIs to enable a data-driven decision-making culture.
• AI-powered Capabilities - Incorporate best-practices and technology architecture for developing and operating machine learning models (MLOps) to accelerate the pace of AI initiatives while ensuring the necessary quality and risk management guardrails are in place. Leverage best practices and use case accelerators for machine learning and Generative AI to drive towards outcomes that directly impact your business.