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What is WWS BAM?

Financial institutions are increasingly seeking sophisticated software solutions to leverage the extensive data they collect from their services and customer interactions. Such software needs to facilitate real-time data analysis to identify correlations and detect emerging trends effectively. Moreover, it should produce detailed reports and visualizations of these intricate analyses, aiding the bank's executives in making well-informed decisions. By evaluating all services offered through the bank's active retail channels, tailored marketing strategies can be developed, including personalized value-added services that improve the overall customer experience. In order to help banks fully harness their vast data and gain a comprehensive understanding of the information essential for strategic decision-making, Auriga has launched the WWS BAM (Business Analytics Management) system, designed to streamline the analytics workflow and provide decision-makers with actionable insights. This cutting-edge approach not only boosts operational efficiency but also enables banks to respond quickly to shifts in the market and changing customer preferences, ensuring they stay competitive in an evolving landscape. Ultimately, the implementation of such advanced systems can lead to a significant transformation in how banks operate and engage with their clients.

What is VertiPaq Analyzer?

The VertiPaq Analyzer serves as an essential resource for scrutinizing the data storage frameworks within Power BI and Analysis Services Tabular. It encompasses various metrics related to different segments and partitions, including pageable, resident, refresh date, and last access information. Dynamic Management Views (DMVs) provided by Analysis Services allow for the collection of valuable insights regarding the memory consumption of a data model. For example, the DISCOVER_OBJECT_MEMORY_USAGE DMV provides comprehensive information about all objects currently held in memory. This type of DMV is also beneficial for effectively tracking a Multidimensional instance of Analysis Services. A significant contribution to this field is the BISM Memory Report by Kasper de Jonge, which is a sample model that displays this information in a hierarchical format, enabling users to pinpoint the databases, tables, and columns that consume the most resources on a server. If you are interested in exploring a particular database further, more detailed insights can be accessed through additional specialized DMVs. By familiarizing yourself with these tools and understanding their functionalities, you can greatly improve your data management approaches and overall efficiency. Moreover, leveraging these insights can assist in optimizing system performance and resource allocation.

Media

Media

Integrations Supported

Microsoft 365
Microsoft Excel
Microsoft Power BI

Integrations Supported

Microsoft 365
Microsoft Excel
Microsoft Power BI

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Auriga

Company Location

United States

Company Website

www.aurigaspa.com/en/banking/products-and-solutions/business-analytics/wws-business-analytics-management/

Company Facts

Organization Name

SQLBI

Date Founded

2004

Company Location

United States

Company Website

www.sqlbi.com/tools/vertipaq-analyzer/

Categories and Features

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

Categories and Features

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

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