Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
In today’s data-centric landscape, organizations that effectively extract insights from their enterprise data hold a significant competitive edge. To adapt to shifting market conditions and enhance strategic decision-making, it is essential to have immediate access to current, high-quality data and thorough analysis. Business analytics empowers you to make well-informed decisions grounded in actual metrics and insights, removing uncertainty from the equation. IBM Business Analytics offers sophisticated data analytics and AI within a cohesive workflow, facilitating quicker, smarter, and more precise data-driven choices. No matter your focus—be it finance, HR, supply chain, marketing, sales, or IT—our solutions provide invaluable data insights, along with robust capabilities for planning, budgeting, forecasting, and business intelligence (BI). This approach allows you to dismantle data and process silos, accelerating user adoption across the organization. Additionally, with IBM Business Analytics, you can further refine your decision-making process through predictive insights, ensuring you stay ahead in a rapidly evolving environment. This holistic integration of data analytics not only enhances operational efficiency but also fosters a culture of informed decision-making throughout the enterprise.
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
No
API Access
Has API
No
Integrations
IBM Watson
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Pricing Details
No price information available.
Free Trial
No
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
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
Yes
Vendor Details
Company Name
IBM
Country
United States
Website
www.ibm.com/analytics/business-analytics
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
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
Data Analysis
Data Discovery
No
Data Visualization
No
High Volume Processing
No
Predictive Analytics
No
Regression Analysis
No
Sentiment Analysis
No
Statistical Modeling
No
Text Analytics
No
Product Features
Data Analysis
Data Discovery
No
Data Visualization
No
High Volume Processing
No
Predictive Analytics
No
Regression Analysis
No
Sentiment Analysis
No
Statistical Modeling
No
Text Analytics
No