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What is Magnitude Angles?

Revolutionize your organization by harnessing the power of self-service operational analytics and in-depth business reporting that tackle your most pressing inquiries. Envision having the ability to fully understand the intricate dynamics within your business, enabling not just the generation of event reports, but also facilitating immediate actions based on insights extracted from your supply chain, finance, manufacturing, and distribution areas. This transformative strategy can reshape the way you maneuver through the fast-changing landscape of the business world. Magnitude Angles allows you to unlock insights previously confined within your SAP or Oracle ERP systems, making your data analysis process more efficient. In contrast to traditional business intelligence tools that simply handle rows, tables, and columns without understanding the context of materials, orders, or cash, Angles uses a context-aware, process-driven business data model. This innovative approach translates complex ERP data structures into self-service analytics, effectively bridging the divide between data and actionable decision-making, empowering you to convert raw information into significant insights and strategic actions. By effectively utilizing these advanced analytics, your organization is positioned not only to adapt to changes but also to proactively outpace competitors in the market. Ultimately, this strategic shift can lead to sustainable growth and enhanced operational efficiency.

What is IBM Process Mining?

IBM Process Mining empowers organizations to uncover business processes that stand to gain significantly from automation opportunities. By leveraging data from business systems, it constructs comprehensive process visualizations that highlight potential bottlenecks or deviations that might be obscured within existing workflows. This tool provides users with an unbiased perspective on their business operations, pinpointing specific areas where automation efforts should be concentrated. Additionally, it enables the simulation of various scenarios to effectively prioritize automation projects based on their potential impact. As a core component of IBM Cloud Paks for Automation, IBM Process Mining not only identifies the most promising processes for automation but also assesses the anticipated return on investment. Furthermore, it illustrates the potential effects of automation initiatives throughout the workflow, allowing for informed decision-making prior to implementation. This ability to foresee changes enhances strategic planning and optimizes resource allocation in automation endeavors.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
Automation Anywhere
Google Cloud Platform
IBM Cloud
Informatica Cloud Application Integration
Microsoft 365
Oracle Cloud Infrastructure
Qlik Cloud Analytics
SAP Cloud Platform
Snowflake
Strategy ONE
TARGIT BI Suite
Tableau
Teradata VantageCloud
UiPath

Integrations Supported

Amazon Web Services (AWS)
Automation Anywhere
Google Cloud Platform
IBM Cloud
Informatica Cloud Application Integration
Microsoft 365
Oracle Cloud Infrastructure
Qlik Cloud Analytics
SAP Cloud Platform
Snowflake
Strategy ONE
TARGIT BI Suite
Tableau
Teradata VantageCloud
UiPath

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

Magnitude

Company Location

United States

Company Website

www.magnitude.com/products/process-analytics

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/cloud/cloud-pak-for-business-automation/process-mining

Categories and Features

ETL

Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control

Categories and Features

Business Process Management

Access Controls / Permissions
Alerts / Notifications
Business Process Automation
Business Rules Management
Collaboration
Process Change Tracking
Process Mapping
Process Modeling & Design
Visual Workflow Management

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