Data management solutions
Data-driven insights are a "must" to remain competitive in today’s business landscape. Reliable insights require quick access to high-quality data from all of your organization’s data sources.
The real benefit of data management consulting is that it provides a strategy that can be integrated across your enterprise. This is critical. Without a strategy, you’ll be gaining information, but unable to translate the sheer volume of data to ROI and growth-focused insights using analytics and data science.
Insight-ready data management services
Data-driven decisions require the ability to quickly and reliably analyze all of your data. Building a modern data foundation for business intelligence and advanced analytics will ensure your organization can make better decisions now and in the future.
Data management advisory
Ollion’s data management consultants work with you to build a solution that gives your team access to the clean and reliable data they need to achieve your business goals. Our modern data solutions ensure your data is insight-ready and can be visualized in popular BI and analytics tools like Looker, Power BI, QuickSight, Tableau and more.
As a tech-agnostic service provider, we can build a modern data management system on AWS, Azure or Google Cloud with any of the most in-demand data technologies, like Snowflake. Plus, we research data management technologies as they’re introduced and developed to provide the best, most current data management and analytics solutions.
We have experience providing data management solutions in industries including financial services, healthcare, legal, manufacturing, marketing, media and entertainment (M&E), private equity, retail/CPG, and supply chain/logistics.
Business-level data strategy
Create a plan to get from your current state to your end goal.
Data security and compliance
Drive compliance through documented definitions, roles and security.
Data consolidation and centralization
Enable a single source of truth from multiple disparate systems.
Data migration
Move data from one system to another or from on-prem to the cloud.
Data democratization and analytics
Improve access to consistent, accurate and analytics-ready data.
Data warehouse modernization
Access and optimize data from legacy systems for modern usage.