Transform Data for Better Customer Experience
Throughout your organization, users are accessing data in different formats, languages and attributes for a variety of tasks. While these varying formats allow for better data usage, it can slow down certain work processes when collecting and organizing the information into a single data warehouse. Our Data Integration solution transforms data into a standardized format to integrate with any system in your organization.
Multiple built-in function options and a common metadata framework also allows data to be delivered as bulk ETL (extract, transform and load), virtual (federated) and incremental (data replication) for increased efficiencies. Data Integration solution empowers your organization with a single platform of truth. That is, unstructured, scattered and siloed data coming together to integrate with your current systems and new ones.
Make Data More Available for All Users
The Data Integration function helps to increase data integrity and minimize inconsistent data retrievals with these cost-effective benefits:
- Have 360-degree view of organization information
- Make smarter business decisions
- Have all data in one place and reduce data complexity
- Take advantage of specialized applications
- Eliminate the burden of duplicating data gathering efforts
- Improve data integrity and availability
Data Integration Capabilities
Data Integration solutions are crucial for all processes using combined data from different sources or technologies.
IBM Cloud Pak for Data
IBM Cloud Pak for Data is a fully-integrated data and AI platform that modernizes how businesses collect, organize and analyze data to infuse AI throughout their organizations. Cloud native by design, the platform unifies market-leading services spanning the entire analytics lifecycle. From data management, DataOps, governance, business analytics and automated AI, IBM Cloud Pak for Data helps eliminate the need for costly, and often competing, point solutions while providing the information architecture you need to implement AI successfully.
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