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What is ProdEval?

There is no single typical user for this system, as it serves a wide array of professionals, such as independent reservoir engineers creating reserve reports, production engineers who design AFEs and track daily production metrics, bank engineers dealing with petroleum loan packages, CFOs assessing their borrowing capacities, property tax experts estimating ad-valorem valuations, and investors involved in the acquisition and divestiture of producing assets. TCW’s ProdEval software provides a rapid and comprehensive Economic Evaluation tool that is ideal for both reserve assessments and prospecting analyses. Its user-friendly interface and straightforward approach to economic analysis ensure that it effectively fulfills the requirements of its users. A particularly attractive feature for newcomers is the software’s capability to forecast future production using sophisticated curve fitting methods, which facilitate easy modifications to the curves. The system's adaptability is impressive, as it can seamlessly incorporate data from multiple sources, such as Excel files and commercial data providers, making it a flexible option for a variety of users. Moreover, ProdEval not only streamlines intricate economic evaluations but also significantly improves the decision-making processes for its users, ultimately leading to more informed business strategies. This comprehensive functionality positions ProdEval as a valuable asset in the toolkit of professionals across the industry.

What is BiG EVAL?

The BiG EVAL solution platform provides powerful software tools that are crucial for maintaining and improving data quality throughout every stage of the information lifecycle. Constructed on a solid code framework, BiG EVAL's software for data quality management and testing ensures high efficiency and adaptability for thorough data validation. The functionalities of this platform are the result of real-world insights gathered through partnerships with clients. Upholding superior data quality across the entirety of your information's lifecycle is essential for effective data governance, which significantly influences the business value extracted from that data. To support this objective, the automation tool BiG EVAL DQM plays a vital role in managing all facets of data quality. Ongoing quality evaluations verify the integrity of your organization's data, providing useful quality metrics while helping to tackle any emerging quality issues. Furthermore, BiG EVAL DTA enhances the automation of testing activities within your data-driven initiatives, further simplifying the entire process. By implementing these solutions, organizations can effectively enhance the integrity and dependability of their data assets, leading to improved decision-making and operational efficiency. Ultimately, strong data quality management not only safeguards the data but also enriches the overall business strategy.

Media

Media

Integrations Supported

Kylo
SAP Cloud Platform
Teradata VantageCloud

Integrations Supported

Kylo
SAP Cloud Platform
Teradata VantageCloud

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Texas Computer Works

Company Website

www.tcwsoftware.com/products/prodeval/

Company Facts

Organization Name

BiG EVAL

Date Founded

2010

Company Location

Switzerland

Company Website

bigeval.com/platform/

Categories and Features

Oil and Gas

Compliance Management
Equipment Management
Inventory Management
Job Costing
Logistics Management
Maintenance Management
Material Management
Project Management
Resource Management
Scheduling
Work Order Management

Categories and Features

Data Preparation

Collaboration Tools
Data Access
Data Blending
Data Cleansing
Data Governance
Data Mashup
Data Modeling
Data Transformation
Machine Learning
Visual User Interface

Data Quality

Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management

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