Big data, diverse sources
The diversity of sources makes it difficult to integrate and analyze data effectively. You must normalize the data and develop pipelines for high data volume and velocity.
Data management systems must ingest, cleanse, enhance and map data from internal systems, customers and external partners, and quickly onboard new sources as soon as they become available.
Complex analytical requirements
AI/ML expertise deficit