Data preparation
Save time by quickly transforming large amounts of raw data into consumable, quality information
Overview
What is data preparation?
Data preparation is a self-service activity that converts disparate, raw, messy data into a clean and consistent view. The process includes searching, cleaning, transforming, organizing and collecting data. Preparing data is critical but time-intensive; data teams spend up to 80% of their time converting raw data into high quality, analysis-ready output.
Highly scalable IBM data preparation offerings use automation to improve and speed data preparation. Spend less time preparing data, and more time on business-critical analysis that drives value.
Data preparation benefits
Faster data transformation
Use machine learning recommendations to format, join, tag and cleanse data. No coding required.
Self-service collaboration
Share transformed data sets throughout the enterprise and with BI and analytics tools.
Use trusted data
Connect to data governance, lineage and privacy tools to drive compliance and value.
IBM InfoSphere Advanced Data Preparation
IBM® InfoSphere® Advanced Data Preparation provides self-service access to trusted data and automated transformation to help you start analysis faster and speed up your enterprise data preparation. With InfoSphere Advanced Data Preparation, you’re in control of your data. The intuitive dashboard can provide machine-learning recommendations so you can transform your data with a few clicks.
More products
Additional offerings with data preparation capabilities
IBM Cloud Pak® for Data
Integrate all your data, on premises or on any cloud — on this flexible multicloud platform.
IBM Watson® Knowledge Catalog
Access, curate, categorize and share business-ready data using this enterprise data catalog.
IBM Watson Studio
Use AutoAI to build, run and manage AI models, and optimize decisions at scale across any cloud.
