Name: PayHelm
Price: 10 USD
Author: PayHelm

Help Desk

Live Chat

Web and Video Conferencing

Customer Support

AI Development

Image Recognition

Version Control

Development

Business Intelligence (BI)

Collaboration

Enterprise Legal Management

Transportation & Logistics

Workflow

Enterprise

Accounting

Anti-Money Laundering (AML)

Investor Relations

Finance and Accounting

Applicant Tracking

Corporate Learning Management

HR Management

HR Service Delivery

Payroll

Talent Intelligence

Talent Management

Workforce Analytics

Workforce Management

Human Resources

Cloud Brokers

Cloud Storage

Converged Network Adapters (CNAs)

Custom Software Development Services

Data Integration

Data Privacy Management

Database Load Balancing

Density-Optimized Servers

Fraud Detection

Governance, Risk & Compliance

Integration Platform as a Service (iPaaS)

Migration

Mobile Application Performance Monitoring  (APM)

Network Performance Monitoring

NoSQL Databases

Privileged Access Management

Release Management

Server Management

Tape Storage

Time Series Databases

Unified Endpoint Management (UEM)

Information Technology

A/B Testing

AI Writing Assistant Software

Ad Serving & Retargeting

All-in-One Marketing

Content Management

Customer Experience Management

Customer Journey Mapping

Digital Experience Intelligence

Digital Rewards

Email Marketing

Marketing Automation

Mobile Advertising

Press Release Management

Product Information Management (PIM)

Product Intelligence

Social Media Management

Survey & Forms Building

Tag Management

Video Collaboration

Web Analytics

Marketing

Project Management

Professional Services

Customer Communication Management

Customer Relationship Management (CRM)

Headless eCommerce

eCommerce Analytics

Sales

Animation

Computer-Aided Design (CAD)

Construction Workforce Management

Loan Servicing

Patient Engagement

Vertical-Specific

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PayHelm is an ecommerce analytics tool that claims to provide comprehensive insights and reporting capabilities for businesses. It offers a centralized platform for analyzing data from various sources, including BigCommerce, Shopify, WooCommerce, and PayPal. According to the vendor, PayHelm is suitable for businesses of all sizes, from small startups to large enterprises, and is utilized by professionals and industries such as ecommerce businesses, retailers, online marketplaces, digital marketers, and business analysts.

## Key Features

**Connect Multiple Channels**: PayHelm claims to enable users to connect multiple ecommerce channels, such as Shopify, BigCommerce, WooCommerce, and PayPal, to analyze store data from different sources.

**Real-time Data Analysis**: Users can supposedly access real-time data analysis of their store performance, including sales revenue, profit margins, overhead costs, and monthly profits or losses. This feature is said to empower users to make data-driven decisions and monitor their business's financial health effectively.

**Integrations with Third-Party Tools**: PayHelm claims to offer seamless integrations with a variety of third-party tools, such as Slack, ShipStation, and Google Analytics. According to the vendor, this allows users to streamline their operations and gain deeper insights by connecting their store data with other essential business tools.

**Customizable Reports**: Users can supposedly generate tailored reports based on their specific business needs and objectives. PayHelm provides a range of report templates and allows users to customize the metrics, dimensions, and filters to focus on the most relevant data for their analysis.

**Automatic Insurance Rules**: PayHelm claims to provide an Automatic Insurance Rules feature that allows users to set rules for automatic insurance coverage for their shipments. According to the vendor, this feature helps protect ecommerce businesses against potential loss or damage during shipping, providing added peace of mind.

**Data Filtering and Drill-Down**: PayHelm supposedly allows users to filter and drill down into their store data to gain deeper insights. Users can analyze data based on various dimensions, such as product categories, customer segments, or time periods, to identify trends and make well-informed decisions.

**Email Campaigns**: PayHelm claims to offer robust email campaign functionality, enabling users to send targeted email campaigns to their customers based on their store data. According to the vendor, this feature helps businesses effectively engage with customers, promote products, and drive sales.

**Data Security and Privacy**: PayHelm states that it prioritizes data security and privacy, ensuring that user data is protected and handled in compliance with privacy regulations. The vendor claims that the platform employs industry-standard security measures to safeguard sensitive information.

**User-Friendly Interface**: PayHelm is said to feature a user-friendly interface that is intuitive and easy to navigate. According to the vendor, users can quickly access the desired data, reports, and features, making it efficient to analyze store performance and make well-informed business decisions.

Basic

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PayHelm

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BI Platform

Administration via Windows App

Administration via MacOS App

Administration via Web Interface

Live Connection to External Data

Snapshot of External Data

In-memory data model

OLAP (Pre-processed cube representation)

ROLAP (SQL-layer querying)

Multi-Data Source Reporting (Blending)

Data warehouse / dictionary layer

ETL Capability

ETL Scheduler

Supported Data Sources

Data sources that can be consumed by the application.

MS Excel Workbooks

Text Files (CSV, etc)

Oracle

MS SQL Server

IBM DB2

Postgres

MySQL

ODBC

Cloudera Hadoop

Hortonworks Hadoop

EMC Greenplum

IBM Netezza

HP Vertica

ParAccel

SAP Hana

Teradata

Sage 500

Salesforce

Google Analytics

BI Standard Reporting

Standard reporting means pre-built or canned reports available to users without having to create them.

Pixel Perfect reports

Pixel Perfect reports are highly-formatted reports with graphics and ability to preview the report before printing.

Customizable dashboards

Customizable dashboards are dashboards providing the builder some degree of control over the look and feel and display options.

Report Formatting Templates

Ad-hoc Reporting

Ad-Hoc Reports are reports built by the user to meet highly specific requirements.

Drill-down analysis

Drill down analysis is the ability to get to a further level of detail by going deeper into the hierarchy.

Formatting capabilities

Ability to format output e.g. conditional formatting, lines, headers, footers.

Predictive modeling

Predictive modeling is the ability to build future forecasting models.

Integration with R or other statistical packages

Integration with the open-source R predictive modeling environment.

Report sharing and collaboration

Report sharing and collaboration is the ability to easily share reports with others.

Report Output and Scheduling

Ability to schedule and manager report output.

Publish to Web

Publish to PDF

Output Raw Supporting Data

Report Versioning

Report versioning is the assignment of version numbers to each version of a report to help in tracking.

Report Delivery Scheduling

Report Delivery Schedule is the ability to have reports delivered to a destination at a specific data and time.

Delivery to Remote Servers

Ability to deliver reports to remote servers

Data Discovery and Visualization

Data Discovery and Visualization is the analysis of multiple data sources in a search for patterns and outliers and the ability to represent the data visually.

Pre-built visualization formats (heatmaps, scatter plots etc.)

Pre-built visualization formats are canned visualization types that can be selected to visualize different kinds of data.

Location Analytics / Geographic Visualization

Location analytics is the visualization of geographical or spatial data.

Predictive Analytics

Predictive Analytics is the ability to build forecasting models based on existing data sets.

Support for Machine Learning models

Machine learning refers to computer programs that can learn when exposed to new data.

Pattern Recognition and Data Mining

Pattern recognition and data mining mean the ability to recognize hidden patterns in large quantities of data.

Access Control and Security

Access control means being able to determine who has access to which data.

Multi-User Support (named login)

Named model access means that users have access based on name and password.

Role-Based Security Model

Role-based access means that access to data is determined by job or position in the corporation.

Multiple Access Permission Levels (Create, Read, Delete)

Multiple access permission levels means that different levels of users have different rights.

PayHelm

Overview

What is PayHelm?