Tamr helps the world's largest energy companies master their data at scale, improving regulatory operations, lower their risk and enhance customer experience
Solving the Toughest Data Challenges in Energy, Mining & Utilities
Spend Optimization
Increase visibility into spend, streamline category strategy development, discover the best suppliers and lower PPV, and uncover tail spend that drives unnecessary cost.
Supply Chain Management
Streamline operations by mastering supplier data from ERP systems across business units, factories and geographies, categorize parts and materials, and stay ahead of changes to the supply chain.
Wells Mastering
Tamr enables companies to consolidate wells data from engineering, geoscience, and drilling, cleanse and categorize data, and deliver insights into operations, drive cost savings and increase well reserves.
Legacy System Consolidation
Consolidate disparate systems across business units and geographies (e.g., ERP systems, CRMs, data lakes) to lower overhead costs and streamline operations.
Failure Event Mastering
Close the loop between failure events in the field and the cause of the failures by mastering event datasets to drive improvements in supplier quality, design robustness and manufacturing processes.
QHSE Event Mastering
Reconcile QHSE events from the field and across event management systems to improve reporting capabilities, streamline preventative maintenance, and drive more sustainable quality initiatives.
The only data mastering solution offering cloud-native, on-premise, and hybrid deployments
- Accelerate data mastering projects from years to weeks or months using human-guided machine learning
- Lower cost of ownership through reduced manual workflows
- Empower data teams to focus on high-value work and deliver business outcomes with curated, mastered enterprise data
- Integrate seamlessly with data pipelines and analytics solutions through open architecture and robust APIs
Transformative Analytics Start with Mastered Data
Tamr employs proprietary machine learning (ML) algorithms to accurately master entities across a variety of datasets. The ML engine is guided by human response, using yes and no responses. The output is a curated, versioned dataset that can be used to power a host of downstream analytics, including data visualization tools like Qlik and Tableau, or directly to data analysts and engineers for business intelligence and other data programs.
Watch a 30-minute recorded demo to learn how Tamr's next-gen MDM solution helps companies across industries get clean, curated and comprehensive data.
See Tamr in Action
Schedule a demo with one of our experts to learn how Tamr can help you transform your business
