Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
No
API Access
Has API
No
Integrations
Amazon S3
No
Apache Drill
No
Apache Hive
No
AtScale
No
CalendarBudget
Yes
Cloudera Data Platform
No
Dwolla
Yes
FPS GOLD Banking Software
Yes
Hadoop
No
LoanPro
Yes
Integrations
Amazon S3
Yes
Apache Drill
Yes
Apache Hive
Yes
AtScale
Yes
CalendarBudget
No
Cloudera Data Platform
Yes
Dwolla
No
FPS GOLD Banking Software
No
Hadoop
Yes
LoanPro
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
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
No
Compliance Tracking
No
Corporate Banking
No
Credit Card Management
No
Credit Union
No
Investment Banking
No
Multi-Branch
No
Online Banking
No
Private Banking
No
Retail Banking
No
Risk Management
No
Securities Management
No
Transaction Monitoring
No
Big Data
Collaboration
No
Data Blends
Yes
Data Cleansing
No
Data Mining
Yes
Data Visualization
Yes
Data Warehousing
Yes
High Volume Processing
No
No-Code Sandbox
No
Predictive Analytics
Yes
Templates
No
Data Analysis
Data Discovery
Yes
Data Visualization
Yes
High Volume Processing
No
Predictive Analytics
No
Regression Analysis
No
Sentiment Analysis
Yes
Statistical Modeling
Yes
Text Analytics
No
Financial Reporting
"What If" Scenarios
No
Audit Trail
No
Balance Sheet
No
Cash Management
No
Consolidation / Roll-Up
No
Forecasting
No
General Ledger
No
Income Statements
No
Multi-Company
No
Multi-Department / Project
No
Profit / Loss Statement
No
Product Features
Big Data
Collaboration
No
Data Blends
No
Data Cleansing
No
Data Mining
No
Data Visualization
No
Data Warehousing
No
High Volume Processing
No
No-Code Sandbox
No
Predictive Analytics
No
Templates
No
Business Intelligence
Ad Hoc Reports
No
Benchmarking
No
Budgeting & Forecasting
No
Dashboard
No
Data Analysis
No
Key Performance Indicators
No
Natural Language Generation (NLG)
No
Performance Metrics
No
Predictive Analytics
No
Profitability Analysis
No
Strategic Planning
No
Trend / Problem Indicators
No
Visual Analytics
No