Organizations struggle to effectively harness their data. Data often resides in disparate systems across various technologies, raising questions about its quality and trustworthiness. Engineers and production teams face significant hurdles in quickly creating powerful analytics and collaborating efficiently. How can you immerse yourself in data at the speed of thought, without your tools hindering creativity? How can you seamlessly integrate AI/ML into your analyses and leverage generative AI for data preparation and visual recommendations? And crucially, how can you effectively scale across the organization?
Learn how Hemlock Semiconductor, a global leader in polysilicon production, leveraged self-service data analytics to achieve a remarkable $300,000 in monthly savings and unlock entirely new business opportunities. Plus, find out how the right data tools can transform operational challenges into significant ROI.
What You'll Learn:
- Empower your manufacturing teams with self-service analytics to make faster, data-driven decisions amidst market pressures.
- Overcome common data challenges like scattered data and slow application development, transforming how you interact with information.
- Leverage Spotfire's visual data science platform to easily integrate data, build powerful analytics apps, and embed AI/ML.
- Accelerate insights with generative AI and intelligent recommendations for data prep and visualization.
- Enhance team collaboration through effective insight sharing and learn from a real-world customer success story.
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