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    Global Banking & Finance Review® is a leading financial portal and online magazine offering News, Analysis, Opinion, Reviews, Interviews & Videos from the world of Banking, Finance, Business, Trading, Technology, Investing, Brokerage, Foreign Exchange, Tax & Legal, Islamic Finance, Asset & Wealth Management.
    Copyright © 2010-2025 GBAF Publications Ltd - All Rights Reserved.

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    Editorial & Advertiser disclosure

    Global Banking and Finance Review is an online platform offering news, analysis, and opinion on the latest trends, developments, and innovations in the banking and finance industry worldwide. The platform covers a diverse range of topics, including banking, insurance, investment, wealth management, fintech, and regulatory issues. The website publishes news, press releases, opinion and advertorials on various financial organizations, products and services which are commissioned from various Companies, Organizations, PR agencies, Bloggers etc. These commissioned articles are commercial in nature. This is not to be considered as financial advice and should be considered only for information purposes. It does not reflect the views or opinion of our website and is not to be considered an endorsement or a recommendation. We cannot guarantee the accuracy or applicability of any information provided with respect to your individual or personal circumstances. Please seek Professional advice from a qualified professional before making any financial decisions. We link to various third-party websites, affiliate sales networks, and to our advertising partners websites. When you view or click on certain links available on our articles, our partners may compensate us for displaying the content to you or make a purchase or fill a form. This will not incur any additional charges to you. To make things simpler for you to identity or distinguish advertised or sponsored articles or links, you may consider all articles or links hosted on our site as a commercial article placement. We will not be responsible for any loss you may suffer as a result of any omission or inaccuracy on the website.

    Top Stories

    Posted By Gbaf News

    Posted on June 22, 2017

    Featured image for article about Top Stories

    Auriga, a leading European software solutions supplier for the banking and payments industry, today announced a new business analytics software module for banks to gain valuable, richer insights into how customers interact across all channels and operations.

    Unlike many analytical tools, which look at data in single business processes, WWS BusinessAnalytics Management (WWS BAM), to further enhance the WinWebServer (WWS) omnichannel banking suite, gives a clear, detailed overview of all analytical data from across the bank’s information system and configured retail banking channels.

    Banks are today facing challenges in how to correctly collect and analyse masses of data in a cost effective and useable way. WWS BAM has been designed to help them achieve several major objectives on a single integrated analytics platform: cutting operating costs and inefficiencies, guiding investments more accurately and identifying new business opportunities faster and more effectively.

    This new tool further enhances the existing WinWebServer (WWS) software suite and is designed to take full advantage of the high-value data collected by banks, and to allow decision-makers to define the best growth strategy for a market by optimising the reading of strategic indicators.

    Mark Aldred, Head of UK Sales at Auriga said:

    “Data is possibly the most valuable business asset today. But the finance industry accumulates so much data it can be hard to know what to do with it all. Our new module builds on our already successful WWS platform, correlating data from across all business processes into one platform. Banks need to start turning the data they’re gathering into real, measurable business and strategy results and this platform helps them do that.”

    WWS BAM is able to extrapolate a large amount of data from business services across the bank, such as withdrawals, card recharges, account statements and payments. This data can be taken from multiple channels – whether on an ATM, ASD/ASST or a mobile device, via the Internet, or at a branch, or by any operation which generates data. This data is then collected according to predefined criteria and goals, and presented in clear, instant reports and graphics on a dashboard, to allow easy analysis of data in near real-time. Through a highly-intuitive and user-friendly interface, it can be used across the business without the need for highly technical skills and has the ability to turn data into strategic information.

    WWS BAM enables the extraction, collection, analysis and graphical viewing of bank’s Big Data. The module provides an overview of data from all managed channels, allowing banks to analyse multiple factors and strategic indicators and business KPIs that can be used to define market strategies and opportunities. Through configurable management of access and analysis criteria and a channel-based approach, multiple dimensions of analysis can be created, allowing users to turn data into strategic information.

    Auriga, a leading European software solutions supplier for the banking and payments industry, today announced a new business analytics software module for banks to gain valuable, richer insights into how customers interact across all channels and operations.

    Unlike many analytical tools, which look at data in single business processes, WWS BusinessAnalytics Management (WWS BAM), to further enhance the WinWebServer (WWS) omnichannel banking suite, gives a clear, detailed overview of all analytical data from across the bank’s information system and configured retail banking channels.

    Banks are today facing challenges in how to correctly collect and analyse masses of data in a cost effective and useable way. WWS BAM has been designed to help them achieve several major objectives on a single integrated analytics platform: cutting operating costs and inefficiencies, guiding investments more accurately and identifying new business opportunities faster and more effectively.

    This new tool further enhances the existing WinWebServer (WWS) software suite and is designed to take full advantage of the high-value data collected by banks, and to allow decision-makers to define the best growth strategy for a market by optimising the reading of strategic indicators.

    Mark Aldred, Head of UK Sales at Auriga said:

    “Data is possibly the most valuable business asset today. But the finance industry accumulates so much data it can be hard to know what to do with it all. Our new module builds on our already successful WWS platform, correlating data from across all business processes into one platform. Banks need to start turning the data they’re gathering into real, measurable business and strategy results and this platform helps them do that.”

    WWS BAM is able to extrapolate a large amount of data from business services across the bank, such as withdrawals, card recharges, account statements and payments. This data can be taken from multiple channels – whether on an ATM, ASD/ASST or a mobile device, via the Internet, or at a branch, or by any operation which generates data. This data is then collected according to predefined criteria and goals, and presented in clear, instant reports and graphics on a dashboard, to allow easy analysis of data in near real-time. Through a highly-intuitive and user-friendly interface, it can be used across the business without the need for highly technical skills and has the ability to turn data into strategic information.

    WWS BAM enables the extraction, collection, analysis and graphical viewing of bank’s Big Data. The module provides an overview of data from all managed channels, allowing banks to analyse multiple factors and strategic indicators and business KPIs that can be used to define market strategies and opportunities. Through configurable management of access and analysis criteria and a channel-based approach, multiple dimensions of analysis can be created, allowing users to turn data into strategic information.

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