Name: datacube
Author: Data Cube

Help Desk

Web and Video Conferencing

Customer Support

Business Intelligence (BI)

Collaboration

Data Discovery and Visualization

Document Management

Enhanced 911 (E911)

File Sharing

Risk Management

Statistical Analysis

Enterprise

Accounting

Invoicing

Subscription Management

Finance and Accounting

Applicant Tracking

Corporate Learning Management

Diversity, Equity, and Inclusion (DEI)

HR Management

Payroll

Recruitment Agency

Recruitment Automation

Talent Intelligence

Talent Management

Workforce Analytics

Workforce Management

Human Resources

Cloud Storage

Data Lakehouse

Data Mapping

Firewall Security Management

Fraud Detection

IP Address Management (IPAM)

In-Memory Databases

Incident Response

Infrastructure-as-Code (IaC)

Integration Platform as a Service (iPaaS)

Log Management

Managed IT Service

Network Performance Monitoring

Password Management System

Release Management

SOA Application Gateways

Web Portal

WiFi Hotspot

Information Technology

A/B Testing

Ad Serving & Retargeting

All-in-One Marketing

Appointment Scheduling

Audio Editing

Content Management

Customer Reference Management

Email Marketing

Email Testing

Marketing Automation

Product Sampling

Retail Media Advertising

Social Media Management

Social Media Marketing

Survey & Forms Building

Web Analytics

Marketing

Field Service Management

Project Management

Professional Services

Customer Relationship Management (CRM)

Lead Generation Services

Lead-to-Account Matching and Routing

Multichannel Retail

Sales Coaching

Sales Gamification

Social Commerce

Sales

Architecture

InsurTech

Laboratory Information Management

Legal Billing

OSS/BSS (Operations Support/Business Support)

Oil and Gas

Real Estate

Vertical-Specific

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datacube is a business intelligence and data activation platform designed to meet the needs of small to large businesses. This versatile tool is utilized by marketing professionals, sales professionals, business analysts, e-commerce companies, and healthcare organizations to extract, visualize, and analyze data from various sources. According to the vendor, datacube offers customizable dashboards, real-time insights and alerts, seamless integrations, and AI-driven data management capabilities, empowering businesses to make data-driven decisions and drive growth in today's competitive landscape.

## Key Features

**Data Extraction**: According to the vendor, datacube allows users to import data from any software or CRM, including the ability to pull data from the internet. It enables the extraction of relevant numbers for analysis.

**Customizable Dashboards**: The vendor claims that datacube provides users with the flexibility to choose which numbers and metrics to display on their dashboards. This feature allows for a tailored visualization of data according to user preferences and specific business needs and KPIs.

**Real-time Insights and Alerts**: Leveraging machine learning, datacube analyzes business data and provides notifications and alerts for areas that require attention, as claimed by the vendor. Users can monitor key metrics and performance indicators in real-time.

**Data Visualization**: According to the vendor, datacube offers various visualization options to represent data, allowing users to gain a quick understanding of what's happening in their business. Visual representations of data enhance comprehension and facilitate in-depth analysis.

**Integrations with Other Software**: The vendor states that datacube is compatible with a wide range of software and CRM systems, enabling seamless integration with existing tools and platforms. This feature simplifies data transfer and synchronization for a streamlined workflow.

**AI-driven Data Management**: According to the vendor, datacube utilizes artificial intelligence to intelligently analyze and segment data. It identifies key performance indicators and trends, helping businesses predict future outcomes and identify potential growth opportunities.

**Custom Approach**: The vendor emphasizes that datacube takes a personalized and tailored approach for each business, recognizing that no two businesses are the same. Dashboards and features are customized to meet specific needs, ensuring optimal utilization of the platform.

**Actionable Analytics and Insights**: According to the vendor, datacube provides meaningful insights and actionable analytics, enabling data-driven decision-making. By leveraging data to its fullest potential, businesses can drive growth and achieve success.

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Qlik Sense® is a self-service BI platform for data discovery and visualization. It supports a full range of analytics use cases—data governance, pixel-perfect reporting, and collaboration. Its Associative Engine indexes and connects relationships between data points for creating actionable insights.

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datacube

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Data Cube

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

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 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.

Report-Level Access Control

Report-level access control means that the type of report determines who has access to it.

Table-Level Access Control (BI-layer)

Field-Level Access Control (BI-layer)

Single Sign-On (SSO)

Allows users to use one set of login credentials to access multiple applications

Mobile Capabilities

Support for mobile devices like smartphones and tablets.

datacube

Overview

What is datacube?