Data integration at scale
Based on IDC reports, it is estimated that data scientists spend 80% of their time preparing and managing data for building AI models. This, coupled with an IBM survey where 91% of organizations are not using their data effectively, means that businesses are struggling to deliver value from data silos. Data integration is a combination of technical and business processes that are used to combine data from disparate sources into meaningful and valuable information. This is a critical aspect of an organization's overall information architecture strategy:
Figure 4.21 – Data integration, an enterprise challenge
IBM's DataStage service on IBM Cloud Pak for Data delivers a modernized data integration solution for cleansing and delivering trusted data anywhere, at any scale and complexity, on and across multi-cloud and hybrid cloud environments. There are many reasons for this major shift in how data integration tools are...
