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What is Sage Enterprise Intelligence?

Leverage precise and targeted insights from large businesses to implement impactful strategies effectively. By utilizing comprehensive and precise large business intelligence, you can convert your data into actionable insights with ease. Sage Enterprise Intelligence empowers managers, business users, and executives to generate and assess reports, dashboards, or perspectives according to their needs. It offers a user-friendly web interface, compatibility with mobile devices, and an Excel-based platform for intuitive access. You can retrieve information swiftly, anytime and anywhere you require it. A vast array of templates streamlines the process of compiling and preparing reports, enabling you to make informed decisions and accelerate your progress towards objectives. With user-friendly analytics tools, you can navigate through complexities and concentrate on the critical elements of your business. Business intelligence serves as a robust representation of data, delivering a lucid overview of the entire organization, which can ultimately lead to enhanced operational efficiency and strategic growth.

What is Amazon SageMaker Data Wrangler?

Amazon SageMaker Data Wrangler dramatically reduces the time necessary for data collection and preparation for machine learning, transforming a multi-week process into mere minutes. By employing SageMaker Data Wrangler, users can simplify the data preparation and feature engineering stages, efficiently managing every component of the workflow—ranging from selecting, cleaning, exploring, visualizing, to processing large datasets—all within a cohesive visual interface. With the ability to query desired data from a wide variety of sources using SQL, rapid data importation becomes possible. After this, the Data Quality and Insights report can be utilized to automatically evaluate the integrity of your data, identifying any anomalies like duplicate entries and potential target leakage problems. Additionally, SageMaker Data Wrangler provides over 300 pre-built data transformations, facilitating swift modifications without requiring any coding skills. Upon completion of data preparation, users can scale their workflows to manage entire datasets through SageMaker's data processing capabilities, which ultimately supports the training, tuning, and deployment of machine learning models. This all-encompassing tool not only boosts productivity but also enables users to concentrate on effectively constructing and enhancing their models. As a result, the overall machine learning workflow becomes smoother and more efficient, paving the way for better outcomes in data-driven projects.

Media

Media

Integrations Supported

Amazon Athena
Amazon Redshift
Amazon S3
Amazon SageMaker
Amazon SageMaker Feature Store
Amazon SageMaker Studio
Amazon SageMaker Unified Studio
Apache Parquet
Apache Spark
Codeless Platforms BPA Platform
Databricks Data Intelligence Platform
Facebook Ads
Google Analytics
JSON
SAP Cloud Platform
Sage 300
Sage 500
Sage X3
Salesforce
Snowflake

Integrations Supported

Amazon Athena
Amazon Redshift
Amazon S3
Amazon SageMaker
Amazon SageMaker Feature Store
Amazon SageMaker Studio
Amazon SageMaker Unified Studio
Apache Parquet
Apache Spark
Codeless Platforms BPA Platform
Databricks Data Intelligence Platform
Facebook Ads
Google Analytics
JSON
SAP Cloud Platform
Sage 300
Sage 500
Sage X3
Salesforce
Snowflake

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

Sage

Date Founded

1981

Company Location

United Kingdom

Company Website

www.sage.com/en-us/products/enterprise-intelligence/

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/sagemaker/data-wrangler/

Categories and Features

Business Intelligence

Ad Hoc Reports
Benchmarking
Budgeting & Forecasting
Dashboard
Data Analysis
Key Performance Indicators
Natural Language Generation (NLG)
Performance Metrics
Predictive Analytics
Profitability Analysis
Strategic Planning
Trend / Problem Indicators
Visual Analytics

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

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

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