Our data strategy assessment clarifies and aligns your business goals to data.
This workshop evaluates your ongoing goals and issues to create a path to a proposed future state. The road to success is paved by an awareness of your reporting needs, knowledge of how your data is used, and any regulatory and governance control requirements. After data sources have been determined, their classification is addressed on the end-state architecture, bringing together your tools, people, and processes. Detailed strategic documentation is crucially included with each delivery.
Bring agility back to your data with next-generation architecture and methods.
Crafting a modern data warehouse means taking advantage of next-generation tools that are only available in the cloud. The SHI data services team can re-architect your data platform to be faster and more scalable, getting you ready for the next-generation of analytics, machine learning, and data science.
Our data services team will help you:
- Evaluate and deploy technology options for data lakes, lakehouses, and storage
- Ensure that your data models and ETL/ELT processes are optimized for the cloud
- Connect new data sources that were traditionally difficult for legacy data warehouses to consume, such as APIs
- Optimize the delivery of data for reporting, analytics, and other business needs
Gather, store, secure, and maximize your data assets.
Experience the stability, robust governance, and performance of data warehouses combined with the openness, flexibility, and machine learning assistance of data lakes. This is next-generation engineering.
Normally data silos can segregate (and complicate) data engineering, analytics, BI, data science, and machine learning. By removing these silos, we introduce a unified approach that streamlines your contemporary data stack. Through this build, you can unlock the potential of your data — and your data teams.