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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 Aggua?

Aggua functions as an AI-enhanced data fabric platform aimed at equipping both data and business teams with easy access to their information, building trust, and providing actionable insights for more informed decision-making based on data. With just a few clicks, you can uncover essential details about your organization's data framework instead of remaining unaware of its complexities. Obtain insights into data costs, lineage, and documentation effortlessly, allowing your data engineers to maintain their productivity without interruptions. Instead of spending excessive time analyzing how changes in data types affect your pipelines, tables, and overall infrastructure, automated lineage facilitates your data architects and engineers in reducing the time spent on manual log checks, allowing them to concentrate on implementing necessary infrastructure improvements more effectively. This transition not only simplifies operations but also fosters better collaboration among teams, leading to a more agile and responsive approach to tackling data-related issues. Additionally, the platform ensures that all users, regardless of their technical background, can engage with data confidently and contribute to an organization's data strategy.

Media

Media

Integrations Supported

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

Integrations Supported

Snowflake
Amazon Redshift
Google Cloud BigQuery

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
On-Site Training

Training Options

Documentation Hub
Webinars

Company Facts

Organization Name

Magnitude

Company Location

United States

Company Website

www.magnitude.com/products/process-analytics

Company Facts

Organization Name

Aggua

Date Founded

2020

Company Location

United States

Company Website

www.aggua.io

Categories and Features

Data Mapping

Not specified

ETL

Not specified

Process Mining

Not specified

Categories and Features

Data Catalog

Not specified

Data Engineering

Not specified

Data Fabric

Not specified

Data Governance

Not specified

Data Lineage

Not specified

Data Management

Not specified

Data Mapping

Not specified

Data Observability

Not specified

Data Quality

Not specified

Metadata Management

Not specified

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