Do more sophisticated analytics while streamlining the data prep.
This complementary white paper can help you do things faster and more efficiently than other analytics approaches:
Ingest data, create variables, and build and deploy analytical models faster.
Build, reuse, and combine analytical objects at scale in Hadoop.
Automate analytics and achieve more with your data scientists.
Many IT and analytics departments have found that their process and resources are constraining them, limiting the value they can create. These limitations are due to…
Too many new open-source tools that require manual integration
Tools available for Hadoop that don't work end-to-end
Legacy stacks that are outdated and not catching up to modern Big Data
Current analytics methodologies that consist of one model, one report, one insight, and one project at a time.
How much time could you save if you industrialized the development of analytics and insights and enabled self-service across the enterprise? You could get from use case definition to production in a fraction of the time it takes now.
Learn how your company can unify and normalize your data across all your applications and data silos. Find ways to automatically generate continuously refreshed insights, and make them available to employees, not just data scientists.
Download this complementary white paper to learn more.
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