Deliver trusted data for analytics and AI
Create a solid data foundation for your analytics and AI projects by feeding them trustworthy data in a simple, efficient and cost-effective way.
Use clean, fit-for-purpose data.
Rapidly build data pipelines.
Mass ingest data in no time.
Reduce data processing costs.
3 solutions to your data challenges
Challenge:
With less talent to build data pipelines, you have to rely on costly and complex point solutions.
Solution:
Keep it simple with a no-code/low-code, end-to-end and cost-optimized data engineering solution.
Explore how these products can help you succeed:
Challenge:
When you can’t observe data across applications and processes, it results in error-prone, inconsistent data.
Solution:
Integrate data quality, mastering and observability throughout the data life cycle.
Explore how these products can help you succeed:
Challenge:
You want to operationalize AI and machine learning, but the process is costly and riddled with delays.
Solution:
Deploy and scale models in minutes with trusted, governed data for AI and machine learning.
Explore how these products can help you succeed:
“With Informatica and Snowflake, we’re democratizing data across the university while improving operational efficiency. We’re making data much more accessible. This enables reporting in less time while helping to improve information security and reduce operating costs.”
“Informatica Intelligent [Data Management] Cloud services make our lives easier by helping us concentrate on the important aspects of our business and leaving the integration to somebody else.”
“The power of Informatica is that we can do ETL, ELT and mass ingestion at scale, all with a single integrated platform, to deliver trusted information to our data consumers.”
