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What is MX?

MX enables financial institutions and fintech companies to harness their data effectively, ensuring they thrive in a rapidly evolving industry. Our cutting-edge solutions streamline the processes of collecting, enhancing, analyzing, presenting, and utilizing financial data for our partners. By prioritizing user data, MX converts it into coherent, unified, and visually appealing formats. As a result, users find themselves more engaged and connected with your digital banking services. The Helios cross-platform framework allows MX clients to provide mobile banking solutions across multiple platforms and devices, all built from a single C++ codebase. This approach not only lowers maintenance costs but also encourages a more flexible development strategy, significantly improving the digital banking user experience. With these innovations, financial institutions are well-positioned to anticipate market trends and effectively fulfill customer needs, paving the way for future growth. Ultimately, MX empowers organizations to adapt and flourish in the face of ongoing change.

What is Indyco?

Start your top-down evaluation by gaining an extensive overview of a sample Data Platform, which will enable you to explore various domains and reveal their interconnections with different organizational data. The transformation of a supply chain's business model and the application of Enterprise Data Platform strategies in a banking environment are just a few examples that highlight the practical benefits of using Indyco as a data modeling tool. This initiative notably enhanced the data culture within a leading entity in Italy's food and agriculture industry, paving the way for self-service reporting capabilities. Business users actively engaged with the Conceptual Model presented on a large display, working alongside IT teams during collaborative design sessions aimed at refining their Data Platform. Furthermore, a bank effectively established best practices in Data Platform design by leveraging Indyco, incorporating aspects such as conceptual modeling, automated documentation, and the formulation of a business glossary. Consequently, the amalgamation of these practices not only optimized operations but also nurtured a conducive atmosphere for data-driven decision-making, ultimately leading to transformative outcomes across the organization. The commitment to data excellence became a cornerstone of their strategic initiatives, fostering innovation and responsiveness in a rapidly changing market landscape.

Media

Media

Integrations Supported

CalendarBudget
Dwolla
FPS GOLD Banking Software
LoanPro
Meld
Monarch Money
Moneytree
Moov
Rent Dynamics
Sila
VoPay
ebankIT

Integrations Supported

CalendarBudget
Dwolla
FPS GOLD Banking Software
LoanPro
Meld
Monarch Money
Moneytree
Moov
Rent Dynamics
Sila
VoPay
ebankIT

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

MX Technologies

Date Founded

2010

Company Location

United States

Company Website

www.mx.com

Company Facts

Organization Name

Indyco

Date Founded

2013

Company Location

Italy

Company Website

www.indyco.com

Categories and Features

Banking

ATM Management
Compliance Tracking
Corporate Banking
Credit Card Management
Credit Union
Investment Banking
Multi-Branch
Online Banking
Private Banking
Retail Banking
Risk Management
Securities Management
Transaction Monitoring

Big Data

Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

Financial Reporting

"What If" Scenarios
Audit Trail
Balance Sheet
Cash Management
Consolidation / Roll-Up
Forecasting
General Ledger
Income Statements
Multi-Company
Multi-Department / Project
Profit / Loss Statement

Categories and Features

Big Data

Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates

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