About DataStories
DataStories provides prescriptive analytics for manufacturing and process industries. Its machine learning models analyze operational data to improve yield, quality, and energy efficiency, and software sensors predict key process variables. Data quality analysis filters unreliable signals, and a Python and Jupyter SDK supports data science workflows. The platform combines analytics tooling with expert consulting for industry specific use cases. Key capabilities: Real time improvement for industrial processes Machine learning models and soft sensors Data quality monitoring and filtering Predictive analytics for process performance Python and Jupyter integration for data teams Best for: Manufacturers seeking AI driven process improvement.
DataStories Details
DataStories's In-App Market Place
Does DataStories have an in-app market place?
Yes
How many Mini-Apps in the marketplace?
0
Mini Apps
Pricing Options
Accepted Payment Currencies
USD ($), EUR (€), GBP (£), JPY (¥), AUD (A$), CAD (CA$), CHF (CHF), CNY (¥), SEK (kr), NOK (kr)
Pros & Cons
- Industry-Specific Solutions: Tailored analytics for various industries like pharma, manufacturing, and cosmetics.
- Advanced Machine Learning: Effective for complex data sets.
- Consulting Services: Supports companies in implementing analytics strategies.
- Real-time Insights: Enables quick, data-driven decision-making.
- Customizable SDK for Data Scientists: Available in Jupyter and Python.
- Unclear Pricing Information: Pricing options not readily available.
- Not Focused on Smaller Companies: Likely geared towards medium to large enterprises.
- Limited Integration Information: Details about integrations with other software are lacking.
- Potential Learning Curve: Advanced features may require specialized knowledge.
- Limited Language Options: Languages offered aren't clearly stated.