Name: MPP BI
Price: 10 USD
Author: Luxms Group

Customer Identity and Access Management (CIAM)

Help Desk

Web and Video Conferencing

Customer Support

Interactive Application Security Testing (IAST)

Development

Academic Advising

Online Learning

Education

Business Intelligence (BI)

Collaboration

File Sharing

Risk Management

Workspace Planning

Enterprise

Accounting

Digital Banking

Invoicing

Subscription Management

Finance and Accounting

Applicant Tracking

Corporate Learning Management

HR Management

Payroll

Talent Intelligence

Talent Management

Workforce Analytics

Workforce Management

Human Resources

Cloud Storage

Configuration Management Databases

Data Collaboration

Data Lakehouse

Database Load Balancing

Enterprise Architecture Management

Fraud Detection

Hyper-Converged Infrastructure

IT Asset Disposal

Infrastructure-as-Code (IaC)

Integration Platform as a Service (iPaaS)

License Management

MLOps

Managed IT Service

Network Monitoring

Network Performance Monitoring

Password Management System

Release Management

Secret Managers

Secure Email Gateway

Session Border Controllers

Virtual Private Cloud (VPC)

WiFi Hotspot

Information Technology

A/B Testing

AI Writing Assistant Software

Ad Serving & Retargeting

All-in-One Marketing

Audience Intelligence

Content Management

Creative Collaboration

Demand Generation

Digital Content Creation

Email Marketing

Marketing Analytics

Marketing Automation

Online Proofing

Social Media Management

Social Media Marketing

Survey & Forms Building

Swag Management

Web Analytics

Marketing

Project Management

Professional Services

Customer Relationship Management (CRM)

Lead-to-Account Matching and Routing

Sales Gamification

Sales

Video Surveillance

Security

Debt Collection

Equipment Rental

Laboratory Information Management

Membership Management

Real Estate

Vertical-Specific

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Easy Installation: Many users have praised the software for its easy installation process, stating that it can be set up quickly and without requiring a significant amount of computing resources. 

Flexible Configuration: Reviewers have found the software to be highly configurable, allowing them to easily tailor it to meet their specific customer requirements. This flexibility has been appreciated by users who value customization options.

Convenient Data Management: The software's excellent data marts have been commended by multiple reviewers for providing efficient data management capabilities. Users find these data marts convenient and well-designed, enabling them to effectively handle and analyze large amounts of data.

Limited Recognition: Some users have expressed that the software's lack of popularity compared to competitors like QlikView or Tableau can pose challenges when trying to convince internal IT and stakeholders to adopt it. 

Restrictions on Data Research: Reviewers have mentioned that there are limitations in terms of data exploration with this software, which may hinder organizations from fully analyzing and exploring their data. 

Lack of Trends Extrapolation: Several users have pointed out that the software does not offer the feature of trends extrapolation, making it difficult for them to forecast or make predictions based on historical data.

Users of MPP BI have found the software valuable for monitoring their business KPIs in real time, providing them with immediate insights into the performance of their business. This capability has allowed users to make data-driven decisions and take prompt action to address any issues or capitalize on opportunities. Additionally, reviewers have praised the support team of MPP BI, emphasizing the importance of having a reliable support team to work with in order to achieve their business needs. The positive experiences customers have had while collaborating with Luxms company to implement MPP BI have resulted in satisfying outcomes. Customers appreciate the developers' ability to fulfill promises and their responsiveness in terms of communication. The platform's effectiveness in processing data and providing high-quality information has been instrumental in making managerial decisions within companies. Another key use case is that users have been able to consolidate relevant bank KPIs into a few dashboards, simplifying the monitoring and analysis process. Overall, these user experiences highlight the various ways in which MPP BI has been beneficial in helping businesses monitor, analyze, and optimize their performance.

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Luxms Group

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.