Seeq
Seeq is an advanced analytics software platform designed for process manufacturing industries to rapidly investigate and share insights from time-series data stored in historians and cloud data stores.
Smarten
Smarten is an augmented analytics platform that provides self-service business intelligence tools like assisted predictive modeling and data preparation to help you make data-driven decisions without technical expertise.
Quick Comparison
| Feature | Seeq | Smarten |
|---|---|---|
| Website | seeq.com | smarten.com |
| Pricing Model | Custom | Custom |
| Starting Price | Custom Pricing | Custom Pricing |
| FREE Trial | ✘ No free trial | ✓ 0 days free trial |
| Free Plan | ✘ No free plan | ✘ No free plan |
| Product Demo | ✓ Request demo here | ✓ Request demo here |
| Deployment | ||
| Integrations | ||
| Target Users | ||
| Target Industries | ||
| Customer Count | 0 | 0 |
| Founded Year | 2013 | 2017 |
| Headquarters | Seattle, USA | Ahmedabad, India |
Overview
Seeq
Seeq provides you with advanced analytics tools specifically built for process manufacturing data. Instead of spending days manually cleaning data in spreadsheets, you can connect directly to your historians and IoT platforms to visualize trends and identify root causes in minutes. You can easily search through years of data to find specific operation patterns or equipment failures across your entire enterprise.
The platform enables your engineers to collaborate in real-time using shared workbooks and automated reports. You can build predictive models to anticipate maintenance needs and optimize production yield without requiring a background in data science. It is designed for heavy industries like oil and gas, pharmaceuticals, and chemicals where high-frequency time-series data is critical for daily decision-making.
Smarten
Smarten is an augmented analytics platform designed to simplify how you interact with complex data. Instead of relying on data scientists for every report, you can use self-service tools to visualize trends, prepare data sets, and perform advanced predictive modeling through a user-friendly interface. It focuses on 'Augmented Analytics,' which uses machine learning to guide you through data discovery and help you find hidden patterns automatically.
You can connect various data sources to create personalized dashboards and share insights across your entire organization. The platform is built for business users in finance, sales, and operations who need to move beyond basic spreadsheets into sophisticated forecasting. By automating the more technical aspects of data science, Smarten allows you to focus on the strategic implications of your data rather than the underlying code.
Overview
Seeq Features
- Workbench Analytics Identify trends and calculate KPIs across massive time-series datasets using an intuitive point-and-click interface.
- Organizer Reports Create dynamic documents and dashboards that update automatically as new process data flows into your system.
- Data Lab Access the power of Python libraries to build custom machine learning models and advanced data science workflows.
- Pattern Search Find specific process conditions or equipment behaviors instantly across months of data to replicate best practices.
- Predictive Modeling Build and deploy regression models to forecast future performance and prevent costly unplanned downtime.
- Contextualization Overlay data from different sources like SQL databases and historians to see the full story behind your operations.
Smarten Features
- Smarten Insights. Use machine learning to automatically identify trends and patterns in your data without writing complex queries.
- Self-Service Data Prep. Clean, shape, and blend data from multiple sources yourself using an intuitive interface designed for non-technical users.
- Assisted Predictive Modeling. Build and run predictive use cases like churn analysis or sales forecasting using guided workflows and algorithms.
- Key Influencer Analytics. Discover exactly which factors are driving your business results and see how different variables impact your goals.
- Natural Language Processing. Ask questions about your data in plain English and receive instant visual answers and detailed reports.
- Mobile BI. Access your dashboards and track your key performance indicators from any mobile device while you are on the move.
Pricing Comparison
Seeq Pricing
Smarten Pricing
Pros & Cons
Seeq
Pros
- Rapidly cleans and aligns messy time-series data
- Eliminates the need for manual spreadsheet calculations
- Excellent collaboration features for remote engineering teams
- Direct connection to major industrial data historians
- Intuitive interface for non-data scientists
Cons
- Requires a significant initial time investment
- Pricing is not transparent for small teams
- Advanced Python features require coding knowledge
Smarten
Pros
- Simplifies complex data science tasks for average business users
- Strong automated data discovery features save significant time
- Flexible deployment options including both cloud and on-premise
- Comprehensive support for various data source integrations
Cons
- Initial setup requires careful data mapping and planning
- Advanced predictive features have a slight learning curve
- Public pricing is not available without contacting sales