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By: Q2 eBanking     Published Date: Jul 30, 2017
Many financial institutions see their customer data as one of their most valuable assets. Unlocking insights from that data helps FIs understand, anticipate and offer account holders the products and services they truly need. A major trend to unlocking customer insights is using machine learning to surface the behavioral intelligence buried in the large amount of account holder transactional data captured each and every day. In this paper, learn how a group of talented, enthusiastic analysts with an open approach to data can yield some very interesting and extremely valuable and actionable results. This approach, championed by Q2 Executive Vice President and CTO Adam Anderson, has led to a new platform, Q2 SMART, which provides powerful behavioral analytics for financial institutions, enabling growth while providing account holders with real value.
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     Q2 eBanking
By: Fiserv     Published Date: Jul 09, 2018
Even with the rise of digital payments, cash is still a popular form of payment. According to the Federal Reserve, consumers use cash to pay for nearly one-third of all retail transactions. For many retailers, a completely "cashless society" is nowhere in sight. Cash management remains one of the most important aspects of managing a retail operation, particularly at quick service restaurants (QSRs) and convenience stores, where transactions are smaller and cash is a preferred method of payment. This white paper, Boost Profitability by Automating Cash, sponsored by Fiserv and Fast Casual, details the steps to manage cash properly and boost profit for your business. Uncover the top reasons and flexible options to automate your cash management. • Time savings • Theft deterrence • Higher accuracy • Better customer service • Real-time data
Tags : cash automation, smart safe, cash loss, cash handling, automated cash handling, cash management, cash reconciliation, manual cash reconciliation, automated cash reconciliation, automated vault, cash counting, cash automation system, cash deposits, cash recycler, cash dispensers, cash drawer, point of sale
     Fiserv
By: Group M_IBM Q418     Published Date: Sep 10, 2018
After several years of relentless hardware and software innovation, the mainframe is at an inflection point from being a supporting platform of transaction revenue to becoming a source of revenue growth and innovation. Organizations are evolving toward what IDC calls the “connected mainframe.” The platform is transforming from a revenue-supporting machine into a revenue-generating machine and is increasingly playing a central role in organizations’ digital transformation (DX) journey. Key steps in achieving the connected mainframe require organizations to modernize and integrate the platform with their internal and external environments. IDC finds that these modernization and integration initiatives lead to new business innovations, which in turn are driving revenue growth and improving organizational operational efficiency.
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     Group M_IBM Q418
By: Group M_IBM Q418     Published Date: Sep 10, 2018
After several years of relentless hardware and software innovation, the mainframe is at an inflection point. It’s quickly moving from being a supporting platform of transaction revenue to becoming a source of revenue growth and innovation. Organizations are evolving toward what IDC calls the “connected mainframe.” This evolution to the platform is also enabling the mainframe to play a central role in organizations’ digital transformation (DX) journey. Key steps in achieving the connected mainframe require that organizations modernize and integrate the platform with their internal and external environments. IDC finds that these modernization and integration initiatives lead to new business innovations, which in turn are driving revenue growth. Early adopters of a connected mainframe strategy have achieved more than 300% return on investment (ROI). Over 50% of the benefit value came from business productivity gains, realized from higher transaction volumes, new services, and/or business
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     Group M_IBM Q418
By: Workday France     Published Date: Mar 08, 2018
Historiquement les notions de gouvernance, de conformité, de contrôle et d'audit n'ont été pensées qu'après coup dans les modules financiers des logiciels ERP classiques. Ce sujet a longtemps été ignoré à l'occasion de la conception, du développement et de l’évaluation des logiciels de gestion d’entreprise. Le contrôle n’est pas aussi urgent que le traitement des transactions, pas aussi visible que le reporting financier ou pas aussi passionnant que le décisionnel. Il vient donc souvent dans un second temps. De nos jours, la gouvernance est devenue centrale. C'est sur ce précepte que Workday a conçu ses solutions. Au début des logiciels de gestion, dans les années 80 et 90, le contrôle était loin d'être une priorité. Les lois Sarbanes-Oxley, Basel II et IFRS n’existaient pas encore et « l’audit hors logiciel » était monnaie courante. Les « gros ERP » ont résolu ce problème comme ils le pouvaient, en rachetant des technologies ou en créant des fonctionnalités qui ont été ensuite intégré
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     Workday France
By: This program is brought to you by Oracle and Intel     Published Date: Mar 15, 2018
When application and database numbers increase, how does an organisation avoid overstretching its staff, multiplying costs, and complications? Many companies are using Oracle Exadata—a platform that’s powerful, optimised, and cloud-ready when you are. And they’re seeing, on average, a five-year ROI of 429 percent, 94 percent less unplanned downtime, and 103 percent improvement in transaction rates. See our infographic for more significant findings.
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     This program is brought to you by Oracle and Intel
By: Oracle     Published Date: Jan 09, 2019
The Accenture Oracle data team has more than 20,000 professionals, who aid in delivering 50 billion transactions a day across more than three exabytes of data for clients globally. Accenture Oracle data specialists recently put the Oracle Autonomous Data Warehouse to a rigorous performance test to provide a real-life application usage experience. The data was then extrapolated and expanded to nine years’ worth of data to test the performance. Learn directly from Accenture experts about testing methodology and results that enable them to deliver more data intelligence faster to the enterprise and transform the way people live and work.
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     Oracle
By: Cohesity     Published Date: Aug 21, 2018
WestLotto is Germany’s largest lottery provider and the control centre for the transnational lottery Eurojackpot including 18 European countries. The company has been in operation for more than 60 years. The 350 employees at the WestLotto headquarters in Münster look after more than 3,300 sales outlets and the internet gaming platform “westlotto.de”. These sales channels offer lottery products such as LOTTO 6aus49, instant lotteries and the Eurojackpot. In 2017, WestLotto processed nearly 187 million game transactions.
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     Cohesity
By: TIBCO Software     Published Date: May 31, 2018
Predictive analytics, sometimes called advanced analytics, is a term used to describe a range of analytical and statistical techniques to predict future actions or behaviors. In business, predictive analytics are used to make proactive decisions and determine actions, by using statistical models to discover patterns in historical and transactional data to uncover likely risks and opportunities. Predictive analytics incorporates a range of activities which we will explore in this paper, including data access, exploratory data analysis and visualization, developing assumptions and data models, applying predictive models, then estimating and/or predicting future outcomes.
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     TIBCO Software
By: TIBCO Software     Published Date: May 31, 2018
Predictive analytics, sometimes called advanced analytics, is a term used to describe a range of analytical and statistical techniques to predict future actions or behaviors. In business, predictive analytics are used to make proactive decisions and determine actions, by using statistical models to discover patterns in historical and transactional data to uncover likely risks and opportunities. Predictive analytics incorporates a range of activities which we will explore in this paper, including data access, exploratory data analysis and visualization, developing assumptions and data models, applying predictive models, then estimating and/or predicting future outcomes. Download now to read on.
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     TIBCO Software
By: TIBCO Software     Published Date: May 31, 2018
Predictive analytics, sometimes called advanced analytics, is a term used to describe a range of analytical and statistical techniques to predict future actions or behaviors. In business, predictive analytics are used to make proactive decisions and determine actions, by using statistical models to discover patterns in historical and transactional data to uncover likely risks and opportunities. Predictive analytics incorporates a range of activities which we will explore in this paper, including data access, exploratory data analysis and visualization, developing assumptions and data models, applying predictive models, then estimating and/or predicting future outcomes. Download now to read on.
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     TIBCO Software
By: TIBCO Software     Published Date: May 16, 2019
This infographic describes the growing financial crime problem from several perspectives and sets out reasons why now is the time to move to self-learning analytics and other technologies available on the TIBCO platform for: Monitoring transactions as they occur Easily generating contextual views using accurate, real-time information Expediting the investigation process Evaluating potentially risky transactions Making the right decisions quickly
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     TIBCO Software
By: Group M_IBM Q119     Published Date: Feb 25, 2019
The advantages blockchain can bring to the automotive ecosystem, both in facilitating collaboration among participants and enabling capabilities for new mobility business models, have gotten the attention of automotive executives. In addition to enabling a single source of data, blockchain can facilitate device-to-device transactions, smart contracts, and real-time processing and settlement. For the automotive industry, this translates into improvements and operational efficiencies in areas such as supply chain transparency, financial transactions between ecosystem participants, authenticating access to cars, and customer experience and loyalty.
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     Group M_IBM Q119
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