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What is StatPecker?

StatPecker is a groundbreaking, no-code platform that utilizes AI for effective data storytelling, empowering users to ask questions in everyday language, upload CSV files, and swiftly generate visually stunning infographics and visualizations. In just a few moments, you can reveal critical insights, create shareable graphics, and download them as images that are ready for reports or presentations, with the added convenience of easily integrating them into blogs, articles, or websites without needing to deal with spreadsheets or conventional business intelligence tools. Prioritizing ease of use, it offers instant AI-driven analysis of validated data, simple publishing and embedding options, and accepts CSV files, all at no cost to the user. Developed by a talented team of experienced entrepreneurs from Zaya, Haptik, Uber Eats, and ShareChat, StatPecker transforms how content creators and analysts engage with data, making the art of data storytelling both accessible and enjoyable for everyone involved. Its dedication to simplicity and efficiency enables users to concentrate on crafting their narratives rather than struggling with complex software. Furthermore, this platform ensures that even those with minimal technical skills can harness the power of data to tell their stories effectively.

What is SAS Visual Machine Learning?

Employ a comprehensive set of SAS tools to access, handle, analyze, and present data in visual formats. By using SAS Visual Machine Learning, organizations can significantly boost their analytical skills through integrated machine learning and deep learning functionalities that improve visualization and reporting methods. This strategy empowers users to visually identify and reveal significant connections within their data sets. Furthermore, the platform enables the development and dissemination of interactive reports and dashboards, while also allowing for self-service analytics that quickly assess possible outcomes, encouraging more informed, data-driven decision-making. Users have the capability to explore their data deeply and build or adjust predictive models in the SAS® Viya® environment. Enhanced collaboration among data scientists, statisticians, and analysts allows for the ongoing refinement of models tailored to particular segments or demographics, ensuring that decisions are made based on accurate insights. Additionally, the user-friendly visual interface streamlines the resolution of complex analytical issues, effectively managing all aspects of the analytics lifecycle while fostering a cooperative atmosphere for all participants. This collaborative framework not only enhances the efficiency of the analytical process but also leads to more innovative and effective solutions in data interpretation.

Media

Media

Integrations Supported

Microsoft Excel
Google Sheets
Microsoft 365
Microsoft Outlook
Microsoft PowerPoint
Microsoft Word
Notion
SAS Visual Statistics
SAS Viya
Squarespace
Tumblr
Wix
WordPress

Integrations Supported

Microsoft Excel
Google Sheets
Microsoft 365
Microsoft Outlook
Microsoft PowerPoint
Microsoft Word
Notion
SAS Visual Statistics
SAS Viya
Squarespace
Tumblr
Wix
WordPress

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

StatPecker

Company Location

United States

Company Website

app.statpecker.com

Company Facts

Organization Name

SAS

Company Location

United States

Company Website

support.sas.com/en/software/visual-machine-learning.html

Categories and Features

Data Visualization

Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery

Categories and Features

Data Visualization

Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery

Machine Learning

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

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