The scale, speed, and breadth of cloud services makes the cloud the preferred platform for data-driven workloads of all types. Self-service analytics tools—coupled with the on-demand, fully managed, subscription-based delivery of public cloud and software-as-a-service offerings—enable knowledge workers to rapidly access powerful decision support capabilities without having to engage internal IT staff.
To combine the analytics insights from many types of self-service tools, business decision makers require cloud-based analytics platforms that provide a consistent, correct, and comprehensive view of enterprise resource planning (ERP), customer relationship management (CRM), and other relevant data sources.
Success in today’s economy depends on being able to derive analytics insights from vast amounts of business data. However, this can be difficult when data is locked inside complex computing systems and scattered across many siloed source platforms. This TDWI checklist discusses five best practices for using analytics to extract maximum business value from enterprise data and analytics in the cloud.
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