It’s not surprising that business intelligence and data analytics are top priorities for manufacturers. After all, these technologies are revolutionizing the industry, making it easier to find cost-saving insights and make data-driven decisions.
What’s shocking, however, is that Gartner research shows that nearly 47% of manufacturers struggle to identify the right tool for their business. Because many data analytics tools are not compatible with existing solutions in the manufacturing ecosystem and because they often take a lot of time to implement, manufacturing businesses are cautious about taking on higher technical debt for a lower ROI—and rightly so.
To avoid these outcomes, you need a thorough understanding of business analytics platforms, their capabilities, and how those outcomes may (or may not) add value to your business. This guide is designed to help with that.
Table of contents:
With a 4.6 rating on Gartner Peer Review and a growing list of world-class customers, the numbers speak for themselves. ThoughtSpot for Manufacturing offers an AI-powered search experience that allows you to combine data from various sources, build powerful data analytics models, and create interactive Liveboards. Whether you want to track critical manufacturing KPIs or need visibility into sourcing, ThoughtSpot gives you a bird’s-eye view of complex business data, allowing you to identify root causes and spot growth opportunities.
Instead of months or weeks, ThoughtSpot integrates into your data pipeline within days. Moreover, with powerful AI features like Spotter and Automated insights you can quickly discover trends, patterns, and anomalies, allowing you to lower lead times and improve profitability.
Core features:
Spotter, as your AI Analyst makes insights accessible to everyone
Interactive Liveboards with limitless drill downs and filtering
AI-powered change analysis and anomaly detection
Connectivity with multiple cloud databases
Embedded analytics
Analyst Studio for advanced data modeling
TrendMiner is part of the Software AG company that lets users track KPIs and perform root-cause analysis across the manufacturing line. With TrendMiner, manufacturers can analyze data, create visualizations, and utilize predictive modeling to forecast business outcomes. The platform connects with multiple data sources and allows report sharing across organizations.
Core features:
Data visualization
Data modeling
Integration with multiple databases
Report sharing and collaboration
Dashboard building
Seeq is a manufacturing analytics software that allows analysts to model and visualize data. Manufacturers can create custom reports and dashboards in Seeq to gain a high-level view of their inventory and supply chain data. Users can also share reports, track KPIs, and run queries for informed decision-making. Although the platform has an AI assistant for data modeling, Seeq is primarily built for technical members of data teams and is not intuitive for business users.
Core features:
Data visualization
Connects to various data sources
AI assistant for data modeling
Report sharing
Python and Jupyter Notebook environment
Qlik Sense is a manufacturing analytics software known for its data modeling capabilities. The platform lets users track various KPIs, such as availability, performance, and quality, to determine which factors affect operations. With Qlik Sense, manufacturers can view dashboards and reports and identify trends.
Core features:
Dashboard building
Data modeling
Connects with multiple data sources
AI chat interface
Embedded analytics
Looker, Google’s BI tool may not be able to keep up with ThoughtSpot’s natural language queries, but it does offer data teams a range of features around data modeling and sharing. With a robust semantic layer, data teams have pre-built controls for managing data modeling and data sharing. As part of the Google Cloud family, Looker integrates seamlessly with various Google products.
Core features:
Interactive data visualization
Custom dashboards
LookerML for data modeling
Integration with GCP
Drag-and-drop interface
Domo is a cloud-based manufacturing analytics software that lets users organize, analyze, and visualize data. From production to distribution, Domo allows manufacturers to unify their data, track KPIs, identify trends, and share reports for informed decision-making. Additionally, users can also build dashboards and apply advanced techniques to find insights.
Core features:
Data visualization
Drag-and-drop interface
Connects with multiple data sources
Data modeling
Mobile accessibility
Sisense is built for data teams and developers, allowing them to extract data from multiple sources and generate visualizations. By doing so, manufacturers can use these dashboards to track the performance of their product life cycle.
Core features:
Data visualization
Data modeling
Git integration
Connects with cloud databases
AI features
Whether you’re sourcing materials or running a production line, you need more from your data than ever before. Luckily, modern manufacturing analytics software like ThoughtSpot can help you make the most of your investment.
Consider a company like Fabuwood, which switched from Power BI so their entire team could make real-time, data-driven decisions. With its intuitive, search-based interface, ThoughtSpot lets everyone—operations managers, supply chain partners, or folks working on the factory floor—ask and answer their own data questions.
See how AI-Powered Analytics can help you realize the maximum value from your data. Try a free demo of ThoughtSpot today!
