Like any data scientists, Lailani’s mission is to create exploratory analyses or predictive models based on the data available in her organization.
Unfortunately, choosing the right dataset implies many interactions with the business stakeholders, the IT and business experts : those who defines the requirements and those who have the knowledge.
With DataGalaxy, data scientists find their data faster and can share the knowledge with other data actors in the organization in a single platform.
Enables data stewards to quickly find the data they need, saving them a significant amount of time that would have otherwise been spent searching for relevant data.
Enables data stewards to quickly find the data they need, saving them a significant amount of time that would have otherwise been spent searching for relevant data.
With DataGalaxy, companies can define data access policies and roles, ensuring that only authorized users can access sensitive data.
DataGalaxy offers comprehensive auditing and reporting capabilities, which provide detailed reports on who accessed data, when they accessed it, and what changes were made.
Transforming raw data into actionable insights is often challenging.
It can be tricky to align product features with data-driven insights.
Finding the right data is hard – Is Column X in System A same as Column Y in System B?
I need simplified feedback so I can engineer the most important concepts from our data sets.