Downloads

Four workable way for industrial companies to reduce their energy bill

Most European companies are currently reassessing their energy buying strategies. This nine-page datasheet discusses four ways technology can help save 5% off their energy bill.

• Sweating your assets
• Proactively managing price-adjustment formulas
• Playing with the mix of futures contracts
• Combining spot and term-based transactions

Testimonial - Keeping propane hedging costs under control with Datapred

Discover how Butagaz, the leading provider of bottled and bulk gas solutions, uses the Datapred digital twin to save 3-5% per year on its propane hedging costs.

• Combination of market analyses and industrial optimization
• Scenarios, simulations and recommendations
• Constantly updated foundation for hedging decisions

Direct material procurement - What to expect from machine learning

Machine learning creates new opportunities for commodity, energy and raw material buyers. This three-page datasheet describes the main benefits that Chief Procurement Officers can expect from machine learning.

• Unified view of the market
• Price forecasting
• Better understanding of price risk
• Better alignement with operations
• Effective long-term planning
• Broader hedging opportunities

Getting ahead with Datapred

Raw material and energy procurement is racing into a period of profound change. This 11-page eBook discusses recent Procurement digitization trends and describes how Datapred helps industrial buyers with their digital transformation process.

• More data, more to manage
• A new direction for direct procurement
• Combining the external and internal views
• Impact on the bottom line

Direct material procurement optimization - What's required?

Datapred for Procurement can shave 3-5% off your commodity, energy and raw material spend, year over year. This six-page datasheet discusses the main requirements for using Datapred:

• Price and contextual data
• Costs and constraints
• Wiggle room
• Basic technical stack

Datapred and sustainability

The Datapred buyer checklist

This 4-page datasheet summarizes our answers to Gartner's top 12 questions corporate buyers should ask to AI solution providers.

Key strengths of the Datapred modeling engine

DDatapred includes a powerful modeling engine for continuous intelligence applications. This three-page datasheet discusses the key strengths of that proprietary technology:

• Handling streaming data
• Aggregating multiple models
• Providing explainability
• Accelerating deployment

Bring your own model

Datapred lets you leverage your experience and data science competencies, and bring your own predictive or optimization models to the software. This three-page datasheet discusses how.

Vital checklist for time series modeling

Applying machine learning to time series is tricky. Don't dive into your time series modeling project without checking this three-page life-saving list first.