Overcoming 6 Data Modernization Challenges for Managing Information Products in a Hybrid Data Architecture

As enterprises adopt distributed applications, the ability to access data when you need it—whether from the cloud or on-premises applications—is vital to making data-driven business decisions. Using multiple data sources provides an opportunity to democratizing data use and increase data literacy by making corporate data more accessible to users.

This paper will delve into six data modernization challenges organizations face in today’s data landscape and the data architecture factors your organization should consider including:

• Seamless access to data
• The ability to produce verifiably high-quality data products
• Logical reference models for available data concepts such as customer, product, etc.

Many facets of the data landscape make information management and data modernization a challenge, including data complexity, data quality, integration, governance and compliance. The right data modernization strategy empowers organizations to access and share data in a real-time manner to a wide array of sources, regardless of location.