Name: Pulse Analytics
Author: Pulse Mining Systems

Help Desk

Web and Video Conferencing

Customer Support

Functional Testing

Mobile App Development

Development

Business Intelligence (BI)

Collaboration

Document Management

Dropshipping

Embedded Business Intelligence (BI)

Payment Facilitation

Enterprise

Accounting

Accounts Payable

Accounts Receivable

Payment Gateway

Treasury Management

Finance and Accounting

Applicant Tracking

Corporate Learning Management

Employee Performance Management

HR Management

Payroll

Relocation

Talent Intelligence

Talent Management

Workforce Analytics

Workforce Management

Human Resources

3D Printing

AI Governance

API Management

Authorization

Cloud Storage

Configuration Management

Data Deduplication

Database DevOps

Fraud Detection

Game Engine

Integration Platform as a Service (iPaaS)

IoT Device Management

Managed DNS

Managed Private Cloud

Migration

Network Performance Monitoring

Output Management

Privileged Access Management

SaaS Management

Sensitive Data Discovery

Time Series Databases

Information Technology

A/B Testing

Ad Serving & Retargeting

All-in-One Marketing

Content Management

Data Management

Email Deliverability

Email Marketing

Headless CMS

Marketing Automation

Mobile Advertising

Online Reputation Management

Press Release Management

Product Intelligence

Social Media Management

Social Media Publishing

Survey & Forms Building

Web Analytics

Marketing

Project Management

Professional Services

Customer Relationship Management (CRM)

Government Contracting

Lead Generation

Sales Engagement

Sales

Cloud Access Security Brokers

Security

Church Management

Commercial Drone

Digital Forensics

Home Health Care

Internet of Medical Things

Vertical-Specific

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Pulse Analytics is a business analytics tool offered by Pulse Analytics that captures data from various sources and integrates it into custom-built BI dashboards. According to the vendor, the tool provides real-time performance visibility and analysis to help decision-makers make informed decisions. Pulse Analytics is suitable for companies of all sizes, from small businesses to large enterprises. It is utilized by professionals in industries such as mining, manufacturing, financial services, transport and logistics, and energy.

**Data Integration**: According to the vendor, Pulse Analytics seamlessly captures data from various sources, including existing ERP systems, sensors, software, and apps. By integrating and analyzing this data, businesses can gain a comprehensive view of their performance in real-time.

**Custom-built BI Dashboards**: Pulse Analytics offers customizable BI dashboards that provide clear and instant situational awareness of business performance. The vendor claims that these dashboards present real-time information in a user-friendly format, enabling managers to focus on critical aspects of their business and access detailed sources of information effortlessly.

**Optimum Business Performance**: The vendor states that Pulse Analytics enables optimum business performance by consolidating and analyzing data from multiple sources. By transforming complex data into meaningful and easy-to-read dashboards, managers are empowered to make fully informed decisions. Real-time performance visibility helps identify opportunities and threats before they become significant issues.

**Multi-Source Data Analysis and Visualization**: According to the vendor, Pulse Analytics supports the analysis and visualization of data from multiple sources. The tool integrates data from various systems and sensors, unlocking the full value of existing data. By combining data integration, analytics, and visualization, Pulse Analytics aims to provide a comprehensive business intelligence solution.

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DataHero is a self-service Cloud BI tool, which uses a drag-and-drop interface to import and analyze data. DataHero integrates with Salesforce, HubSpot, Google Analytics, Dropbox, Strip, Excel and others. The company was founded in 2011 and is based in San Francisco.

Starter

Premium

Team

DataHero

Pulse Analytics

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Pulse Mining Systems

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.

Pulse Analytics

Overview

What is Pulse Analytics?