More Ways to Use Ellie
01
Master Data Management
Model Your Master Data with Ellie
Master data management is crucial to ensure your processes and systems stay in sync and your core business entities are valid.
Modeling your master data with Ellie helps you understand what you need to manage and how they're related to real world processes and systems.
Modeling your master data with Ellie helps you understand what you need to manage and how they're related to real world processes and systems.
02
Enterprise Information Architecture
Create a Higher-Level View of Your Enterprise Data
Data is an asset, but all assets need to be understood to be properly managed. Ellie creates a high-level, business-relevant view of your data, where every project adds to the big picture.
You can:
Collaborate with the business to identify data assets.
Keep focus on valuable information content.
Approach from top-down rather than bottom-up.
Link data assets together via reusable entities.
You can:
Collaborate with the business to identify data assets.
Keep focus on valuable information content.
Approach from top-down rather than bottom-up.
Link data assets together via reusable entities.
03
Analytics Design
Share Your Logical Data Models as Star Schemas
Share logical models as star schemas, with clear business context and a continuous understanding of what data is available.
For every analytics project, you need to understand the business goal and the scope of your analytics product. Ellie enables you to communicate efficiently with your business experts, map out core requirements and data structures.
This makes it easy to work with data analysts.
For every analytics project, you need to understand the business goal and the scope of your analytics product. Ellie enables you to communicate efficiently with your business experts, map out core requirements and data structures.
This makes it easy to work with data analysts.
Ellie makes complex data modeling simple
Never before have IT and Business stakeholders collaborated in such an effective way. Forget about legacy data modeling tools and embrace the future of business-driven data modeling.
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