Name: CoolaData
Author: Cooladata

Help Desk

Web and Video Conferencing

Customer Support

Augmented Reality Development

Development

Alumni Management

School Management

Education

Association Management

Business Intelligence (BI)

Collaboration

Enterprise Resource Planning (ERP)

Environmental, Social, and Governance (ESG)

Facility Management

Meeting Management

Unified Communications as a Service (UCaaS)

Enterprise

Accounting

Finance and Accounting

Applicant Tracking

Corporate Learning Management

Employee Onboarding

HR Management

On-Demand Payment

Payroll

Talent Intelligence

Talent Management

Vendor Management Systems (VMS)

Workforce Analytics

Workforce Management

Human Resources

Asset Tokenization

Cloud Storage

Continuous Delivery

Data Center Backup

Data Governance

Fraud Detection

Graph Database

Infrastructure-as-a-Service

Integration Platform as a Service (iPaaS)

Managed Print

Master Data Management (MDM)

Message Oriented Middleware

Metadata Management

Network Function Virtualization (NFV)

Network Performance Monitoring

Network Traffic Analysis (NTA)

Robotic Process Automation (RPA)

SQL Server Performance Monitoring

Security Validation

Software-Defined WAN

Virtual Private Network (VPN)

Web Scraping

Information Technology

A/B Testing

Ad Serving & Retargeting

All-in-One Marketing

Blogging

Content Management

Contest Management

Customer Loyalty Program

Email Marketing

Location Intelligence

Marketing Automation

Marketing Resource Management

Social Media Management

Survey & Forms Building

Video Streaming

Web Analytics

Marketing

Job Site Management

Project Management

Transcription

Waste Management

Professional Services

Customer Communication Management

Customer Relationship Management (CRM)

Sales

Automotive

Car Rental

Clinical Data Management

Equation Editors

Healthcare Learning Management

Vertical-Specific

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Intuitive Interface: Users have consistently praised CoolaData for its user-friendly interface, finding it easy to navigate and use. The intuitive design allows users to quickly access the features they need without any hassle.

Powerful Data Analysis: Many reviewers have commended CoolaData for its robust data analysis capabilities. The software provides clear and meaningful insights through its comprehensive range of data visualizations, reports, and dashboards. Users appreciate how CoolaData surpasses other tools in terms of speed and accuracy when providing behavioral insights.

Excellent Customer Support: Numerous users have highlighted the exceptional customer support provided by CoolaData throughout their experience. The responsive and knowledgeable customer success team has been instrumental in assisting users with onboarding, integration, and resolving any issues or requests that arise.

Pricing: Some users have expressed concerns about the cost of CoolaData, particularly for smaller companies.

Data loading process: Users have mentioned that the data loading process in CoolaData can be improved as it currently takes some time.

Integration options: Several users have requested a wider range of integrations to be available in CoolaData.

Users of CoolaData have found the product to be instrumental in their decision-making processes by providing them with valuable data insights. With the ability to analyze user behavior, customers have been able to gain a better understanding of their target audience and make more informed business decisions. Additionally, CoolaData has proven to be a cost-saving solution as it meets all analytics needs in one platform, eliminating the need for multiple tools or services.

One key use case of CoolaData is its ability to quickly implement BI-related features and start gaining insights. Customers appreciate the modular and layered design of the product, which allows them to easily build and embed reports and dashboards. This feature has saved users significant time and effort, enabling them to focus on analyzing the data rather than struggling with complex reporting tools.

Another notable use case of CoolaData is its flexibility in customizing SQL queries. Users highly value the ability to customize or rewrite underlying SQL code for more control over their analysis. This level of customization empowers users to tailor the queries specifically to their unique business needs and preferences.

Overall, CoolaData has proven to be a versatile and powerful tool that enables users to make better decisions based on data insights, provides cost-saving analytics solutions, delivers a better understanding of user behavior, facilitates quick implementation of BI features, and offers customizable SQL queries for more control.

Personal

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Department

Organization

Clear Analytics

Start Plan

Engage Plan

Grow Plan

Apptopia

CoolaData

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Cooladata

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.