Digital Transformation in Pulp and Paper
A step-by-step guide to achieving data-driven excellence in the pulp and paper industry.
In this guide:
How to identify what stage of digital transformation you’re at.
How to set your digital transformation goals.
Actions you can take to progress from each transformation stage to the next.
Optimization tips for manufacturers at each transformation stage.
Considerations for integrating IT & OT data.
Case studies from real customers who’ve experienced digital transformation success.
Manufacturing Operations Management Tools
Take Your Plant Digital with BTG’s dataPARC
Collect data from various sources in your plant and store time-series data for high-speed retrieval.
Integrate all your plant data to eliminate data silos and establish a single source of truth.
Perform root cause analysis and discover opportunities for process optimization.
Maintain optimal operating conditions with real-time monitoring, control charts, alarms, & reporting.
Manual Data Entry
Versatile Process Information Management Toolkit
Enable data-driven decision-making on the plant floor and across your enterprise with dataPARC’s real-time process information management software.
- Integrate data from anywhere in your plant.
- Empower operations teams to make better decisions.
- Reduce variability in costs & quality.
- Minimize downtime with predictive models & smart alarms.
- Find the root cause of process interruptions quickly.
Superior Diagnostic Analytics
Mine richer insights from your data with dataPARC’s industry-leading set of ad-hoc root cause analysis & trending tools.
Analytics for Everyone
Designed to be easy to use by individuals from the plant floor all the way up to enterprise management, dataPARC democratizes your plant data and allows everyone to contribute to the data-driven optimization of your manufacturing processes.
Make it easy for operators to monitor and record process data in real time.
Process Troubleshooting & Optimization
Faster root cause analysis & predictive modeling.
Quality & Lab
Measurement & Control
Troubleshoot & prevent quality issues & minimize waste
Enterprise-wide Data Integration
Connect data from disparate machines & manufacturing systems.
Monitor enterprise-level KPIs & site-level process and equipment statuses.
Data Scientists & SMEs
Advanced Analytics & Asset Analysis
Establish standards, KPIs, and best practices across the organization.