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What is IBM Data Refinery?

The data refinery tool, available via IBM Watson® Studio and Watson™ Knowledge Catalog, significantly accelerates the data preparation process by rapidly transforming vast amounts of raw data into high-quality, usable information ideal for analytics. It empowers users to interactively discover, clean, and modify their data through more than 100 pre-built operations, eliminating the need for any coding skills. Various integrated charts, graphs, and statistical tools provide insights into the quality and distribution of the data. The tool automatically recognizes data types and applies relevant business classifications to ensure both accuracy and applicability. Additionally, it facilitates easy access to and exploration of data from numerous sources, whether hosted on-premises or in the cloud. Data governance policies formulated by experts are seamlessly enforced within the tool, contributing to an enhanced level of compliance. Users can also schedule executions of data flows for reliable outcomes, allowing them to monitor these flows while receiving prompt notifications. Moreover, the solution supports effortless scaling through Apache Spark, which enables transformation recipes to be utilized across entire datasets without the hassle of managing Apache Spark clusters. This powerful feature not only boosts efficiency but also enhances the overall effectiveness of data processing, proving to be an invaluable resource for organizations aiming to elevate their data analytics capabilities. Ultimately, this tool represents a significant advancement in streamlining data workflows for businesses.

What is Aspen Petroleum Scheduler?

Gain a comprehensive view of the refinery's timetable while simultaneously managing all vital operations. The task of optimizing diesel yield while reducing gasoline output might seem overwhelming at first glance; however, employing sophisticated scheduling and blending techniques can reveal surprising alternatives. Close the divide between strategy and implementation by utilizing shared assay data, production targets, representations of process units, and blending relationships through the leading planning software, Aspen PIMSâ„¢. Facilitate real-time collaboration among schedulers on a unified schedule, ensuring they are informed of any changes through automated alerts. This refinery-wide scheduling methodology not only enhances responsiveness but also streamlines decision-making processes by consolidating all essential activities into a single platform, ultimately driving production efficiency. By embracing this cohesive approach, refineries can synchronize their operations more effectively and achieve their production goals with greater success. Additionally, this method encourages continuous improvement and adaptability in a rapidly changing industry landscape.

Media

Media

Integrations Supported

Apache Spark
IBM Cloud
IBM Cloud Pak for Watson AIOps
IBM Watson
IBM Watson Discovery
IBM Watson Language Translator
IBM Watson Recruitment
IBM watsonx Assistant

Integrations Supported

Apache Spark
IBM Cloud
IBM Cloud Pak for Watson AIOps
IBM Watson
IBM Watson Discovery
IBM Watson Language Translator
IBM Watson Recruitment
IBM watsonx Assistant

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

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/products/data-refinery

Company Facts

Organization Name

Aspen Technology

Company Location

United States

Company Website

www.aspentech.com/en/products/msc/aspen-petroleum-scheduler

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

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

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