August 7, 2020
Enabling people to make quicker and more data-informed decisions is always critical, but it’s even more important when business environments are changing fast and organizations need to rethink how they compete. Delivering trusted, relevant, high-quality data to decision makers is fundamental for personalizing customer interactions, identifying risks and threats, and increasing efficiency.
With economic pressures rising, CIOs and CTOs across industries need solutions that reduce the cost of data management while increasing scale and flexibility to handle more users and analytics workloads. Many organizations are expanding their use of cloud computing with hopes of using the cloud to better balance these priorities.
They need a data management infrastructure that embraces today’s hybrid, multicloud landscape and takes advantage of cloud computing’s elasticity, scalability, and flexibility.
Many organizations end up viewing their data environments as a collection of single data silos that live in separate worlds based on multiple cloud platforms—instead they need solutions that support a holistic strategy. Then organizations can spot problems with data quality and delays in data preparation and pipeline development that impact multiple workloads and users. Organizations can apply solutions that address inefficiencies across data environments and improve scale, speed, and governance more broadly.
This TDWI Checklist addresses five important areas for modernizing the integration, delivery, and governance of cloud data. The recommendations address how organizations can balance priorities and reduce costs while responding to rising data demands with better data management scalability, flexibility, and governance.
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