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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

MX empowers financial institutions and fintech companies to leverage their data in a way that allows them to excel in a swiftly changing sector. Our innovative solutions facilitate the rapid and straightforward collection, enhancement, analysis, presentation, and application of financial data for our clients. By placing a user’s data front and center, MX transforms it into clear, unified, and engaging visual representations. Consequently, users become more engaged and involved with your digital banking offerings. The Helios cross-platform framework equips MX clients with the capability to deliver mobile banking services across various platforms and devices, all constructed from a single C++ codebase. This significantly reduces maintenance expenses and fosters a more agile development approach, ultimately enhancing the overall user experience in digital banking. With these advancements, financial institutions can stay ahead of the curve and better meet the demands of their customers.

Description

The rise of data-driven decision-making has resulted in a significant increase in business data and a heightened demand for its analysis. This phenomenon is prompting IT departments to transition from costly Enterprise Data Warehouses (EDW) to more economical Big Data platforms such as Hadoop or AWS, which boast a Total Cost of Ownership (TCO) that is approximately ten times less. Nevertheless, these new systems are not particularly suited for interactive business intelligence (BI) applications, as they struggle to provide the same level of performance and user concurrency that traditional EDWs offer. To address this shortcoming, Jethro was created. It serves customers by enabling interactive BI on Big Data without necessitating any modifications to existing applications or data structures. Jethro operates as a seamless middle tier, requiring no maintenance and functioning independently. Furthermore, it is compatible with various BI tools like Tableau, Qlik, and Microstrategy, while also being agnostic to data sources. By fulfilling the needs of business users, Jethro allows thousands of concurrent users to efficiently execute complex queries across billions of records, enhancing overall productivity and decision-making capabilities. This innovative solution represents a significant advancement in the field of data analytics.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon S3
Apache Drill
Apache Hive
AtScale
CalendarBudget
Cloudera Data Platform
Docker
Dwolla
FPS GOLD Banking Software
LoanPro
Meld
Microsoft Azure
Moneytree
Moov
Qlik Data Integration
Rent Dynamics
Sila
Tableau
VoPay
ebankIT

Integrations

Amazon S3
Apache Drill
Apache Hive
AtScale
CalendarBudget
Cloudera Data Platform
Docker
Dwolla
FPS GOLD Banking Software
LoanPro
Meld
Microsoft Azure
Moneytree
Moov
Qlik Data Integration
Rent Dynamics
Sila
Tableau
VoPay
ebankIT

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

MX Technologies

Founded

2010

Country

United States

Website

www.mx.com

Vendor Details

Company Name

jethro

Founded

2012

Country

United States

Website

jethro.io/product

Product 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

Product Features

Big Data

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

Business Intelligence

Ad Hoc Reports
Benchmarking
Budgeting & Forecasting
Dashboard
Data Analysis
Key Performance Indicators
Natural Language Generation (NLG)
Performance Metrics
Predictive Analytics
Profitability Analysis
Strategic Planning
Trend / Problem Indicators
Visual Analytics

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