Accelerate Data Science Projects
Get good, clean data you can trust for your data science and advanced analytics projects.
You need enough data
Without sufficient data to feed and train models, your data science initiatives can’t get off the ground. With best-of-breed data ingestion and broad set of connectivity, you’re able to keep cloud data lakes and lakehouses hydrated with the data your AI and machine learning teams need.
Data needs to be trusted
Data science and AI projects that use inaccurate, unreliable data can cause real business risk. Intelligent, cloud-native data quality—with pre-built rules and templates—helps you cleanse, standardize, and enrich data at scale. Now you can trust the data that’s feeding your AI and machine learning models.
Data needs preparation
Data scientists spend more time finding and preparing raw data than they do using it for AI and machine learning. Intelligent, automated data preparation accelerates time to insights by giving teams access to data that’s transformed, fit for use, and masked for privacy.
You need fast data pipelines
To accelerate AI initiatives, you need fast, end-to-end, intelligent data pipelines. Manual, hand-coded efforts require constant tweaking. Instead, take advantage of zero-code, automated solutions that use AI-powered recommendations and intelligent mappings so data engineers can build and process pipelines fast.
Customer Success Stories
Shire Pharmaceuticals
Shire Pharmaceuticals Uses Next Generation iPaaS and Data Analytics in the Fight Against Rare Diseases
"Speed is everything in our sector. Through Informatica, we’re accelerating product development and reducing time to market for our therapies, which helps to enrich the lives of people around the world."
- Shyam Dadala
Enterprise Analytics Architecture; Engineer, Shire Pharmaceuticals
