Dealing with Data Sprawl in Enterprise Analytics - Seguridad Mania.com - España y América Latina

Do you feel like you're always playing catchup in data integration work? Is your organization adding new data silos faster than your analytics team and the native integrations provided by pipeline vendors can keep up? You're not alone. A 2019 IDG survey found that an average of 1,080 unique data sources are used in enterprise analytics programs1. A 2021 Data Ops survey by IDC found that typical data pipelines are processing up to 10 different types of data coming from up to 9 distinct sources2. Enterprise data is more distributed than ever thanks to the explosion of SaaS tools across organizations. Dealing with this sprawl requires an agile approach that goes well beyond native vendor integrations or unruly hand-code implementations. Join Matillion and leading travel brand, TUI, to learn how you can keep pace with enterprise analytics requirements by building your own SaaS data connectors in 30 minutes or less.