Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Invenis serves as a robust platform for data analysis and mining, enabling users to easily clean, aggregate, and analyze their data while scaling efforts to enhance decision-making processes. It offers capabilities such as data harmonization, preparation, cleansing, enrichment, and aggregation, alongside powerful predictive analytics, segmentation, and recommendation features. By connecting seamlessly to various data sources like MySQL, Oracle, Postgres SQL, and HDFS (Hadoop), Invenis facilitates comprehensive analysis of diverse file formats, including CSV and JSON. Users can generate predictions across all datasets without requiring coding skills or a specialized team of experts, as the platform intelligently selects the most suitable algorithms based on the specific data and use cases presented. Additionally, Invenis automates repetitive tasks and recurring analyses, allowing users to save valuable time and fully leverage the potential of their data. Collaboration is also enhanced, as teams can work together, not only among analysts but across various departments, streamlining decision-making processes and ensuring that information flows efficiently throughout the organization. This collaborative approach ultimately empowers businesses to make better-informed decisions based on timely and accurate data insights.
Description
Financial institutions increasingly require advanced software solutions to effectively utilize the vast amounts of data they gather regarding their services and customer interactions. This software must be capable of real-time data analysis to uncover correlations and recognize emerging trends. Additionally, it should generate comprehensive reports and visual representations of these complex analyses, which can assist the bank's leadership in making informed decisions. By analyzing all services available through the bank's active retail channels, targeted marketing strategies can be crafted, such as providing tailored value-added services that enhance the overall customer experience. To help banks maximize the potential of their extensive data and develop a thorough understanding of the information crucial for strategic insights, Auriga has introduced the WWS BAM (Business Analytics Management) system, which streamlines the analytics process and empowers decision-makers with actionable intelligence. This innovative approach not only enhances operational efficiency but also positions banks to adapt swiftly to market changes and customer preferences.
API Access
Has API
API Access
Has API
Integrations
Hadoop
MySQL
Oracle Cloud Infrastructure
PostgreSQL
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
Invenis
Country
France
Website
invenis.co/en/logiciel/
Vendor Details
Company Name
Auriga
Country
United States
Website
www.aurigaspa.com/en/banking/products-and-solutions/business-analytics/wws-business-analytics-management/
Product Features
Data Analysis
Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics
Data Mining
Data Extraction
Data Visualization
Fraud Detection
Linked Data Management
Machine Learning
Predictive Modeling
Semantic Search
Statistical Analysis
Text Mining
Data Preparation
Collaboration Tools
Data Access
Data Blending
Data Cleansing
Data Governance
Data Mashup
Data Modeling
Data Transformation
Machine Learning
Visual User Interface
Data Visualization
Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery
Product Features
Data Analysis
Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics