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Description
Rapid and Responsible Decision-Making with Structured Data. Facilitating well-informed financial and advisory decisions through secure access and meticulous analysis of intricate data sets. What is MOGOPLUS? MOGOPLUS offers Data, Analytics, and Research solutions designed to empower organizations to make timely and informed choices. The landscape is evolving due to stringent regulations, advancing technologies, and shifting customer expectations, leading to significant transformations across various global industries. Effectively harnessing customer data to expedite credit decisions, evaluate risks proficiently, and enhance customer experiences has become a vital competitive advantage in today's data-centric economy. MOGOPLUS adeptly captures unstructured customer data, analyzes it in real-time, and reformulates it into a format compatible with any decision-making system, rules engine, or credit policy. Furthermore, all MOGOPLUS offerings are accessible through a user-friendly API or a no-integration, web-based dashboard, making it seamlessly integrable with any third-party platform. Our patented technology ensures a cutting-edge approach to data analysis and decision-making. With MOGOPLUS, organizations can stay ahead in a rapidly changing market by leveraging the full potential of their data assets.
Description
Cease engaging in tedious negotiations with data providers and begin testing new signals in your decision-making processes through Taktile's ready-to-use integrations. Taktile gives you the power to create and modify decision workflows that incorporate intricate rules and predictive models, all without the need for coding. You can evaluate the effects of a new decision workflow prior to its launch, and Taktile serves as a collaborative platform for teams to work together and approve decision flows. With Taktile, you receive data and performance analysis that enables you to refine your decision-making based on empirical evidence rather than just intuition. The platform allows you to easily construct complex decision flows using pre-designed no-code components like rules and decision tables, alongside customizable Python code. Enhance your decisions with predictive insights by utilizing Taktile's integrated machine learning platform or connections to cloud-based ML solutions. Furthermore, tap into new signals in your decision flow and explore various data sources through Taktile's built-in integrations, making it simpler than ever to innovate and adapt your strategies. By implementing Taktile, organizations can maximize their decision-making efficacy and foster a culture of data-driven approaches.
API Access
Has API
API Access
Has API
Integrations
Engaged CRM
Experian Data Quality
LexisNexis Active Insights
Packiyo
Plaid
TransUnion Collections Management
Integrations
Engaged CRM
Experian Data Quality
LexisNexis Active Insights
Packiyo
Plaid
TransUnion Collections Management
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
Mogoplus
Country
Australia
Website
mogoplus.com
Vendor Details
Company Name
Taktile
Country
United States
Website
www.taktile.com/platform/
Product Features
Data Analysis
Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics
Product Features
Commercial Loan
Asset Management
Audit Trail
Complex Debt Structures
Dashboard
Document Management
Exposure Management
Lead Management
Pipeline Management
Risk Management
Trend Analysis