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financial analytics

Results 101 - 116 of 116Sort Results By: Published Date | Title | Company Name
Published By: Engine Ready     Published Date: Jun 05, 2007
In its quest to continue increasing market share, American Financial Services (AFS) began to realize the importance of a solid analytics package to help develop and track a list of targeted keywords in several pay-per-click search engines. Additionally the highly competitive nature of their most popular keywords was creating a considerable marketing challenge.
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pay per click, search engine marketing, web analytics, online marketing, web marketing, internet marketing, ppc, sem
    
Engine Ready
Published By: Aprimo, Inc.     Published Date: Dec 19, 2008
Financial Company Marketing maintains all key functions of marketing in-house to include: marketing strategy, creative services, direct mail, lead management, eCommerce, emerging markets, database, reporting analytics, strategic partnerships & cross-sell, and print vendor management.
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marketing process improvement, marketing resource management, aprimo, marketing productivity, data management, network management, network performance management, project management
    
Aprimo, Inc.
Published By: IBM Software     Published Date: Oct 04, 2011
Changes in market conditions and economic uncertainty have forced consumers to make tradeoffs and alter their spending and shopping habits. As a result, more than ever, retailers have to stay on top of trends and better manage their customer relationships, operations and financial performance to maximize profits. Read these customer success stories to learn how four retailers are optimizing their businesses today with business analytics.
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ibm, customer success, analytics, business, technology, profits
    
IBM Software
Published By: Verint     Published Date: Apr 18, 2013
The vision for Celent’s Model Bank research was to try to answer an apparently simple question: “What would it look like for a bank to do everything right with today’s technology?” Of course, the question is not nearly as simple as it appears. The terms “everything” and “right” will mean very different things to different banks depending on their size, the complexity of their operations and product sets, and their technological starting points. While there is no such thing as a “Model Bank”—every bank does some things well, and others not as well when it comes to technology—it is possible to conceive of a “Model Bank” through real world examples of effective usage of technology.
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banking, big data, technology, financial, effective use, analytics, finance
    
Verint
Published By: IBM     Published Date: Oct 10, 2013
The growth of cloud, mobility, social business and big data mean that botnets, credit card theft, cyber criminals and other external threats pose increasing risk to business continuity, financial stability and brand reputation. Read the white paper, “Preventing security risks in real time,” to learn how this new reality is forcing the evolution of organizations’ defenses to become more intelligent—using global analytics to scale visibility across broad data sets, both diverse and complementary, in real time.
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cloud, mobility, social business, big data, external threats, business risks, business continuity, financial stability
    
IBM
Published By: IBM     Published Date: Aug 06, 2014
In a competitive landscape that favors the fastest and the smartest, financial services firms that invest in building sophisticated insight and predictive analytics will be better positioned to emerge as market leaders.
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ibm, banking, competition, future, financial, services, analytics
    
IBM
Published By: Hewlett Packard Enterprise     Published Date: Jul 18, 2018
Applications are the engines that drive today’s digital businesses. When the infrastructure that powers those applications is difficult to administer, or fails, businesses and their IT organizations are severely impacted. Traditionally, IT assumed much of the responsibility to ensure availability and performance. In the digital era, however, the industry needs to evolve and reset the requirements on vendors. HPE Nimble Storage has broken away from convention and transformed how storage is managed and supported with the HPE InfoSight predictive analytics platform. HPE engaged ESG to conduct a quantitative survey of the HPE Nimble Storage installed base, as well as non-HPE Nimble Storage customers, to better assess how HPE InfoSight positively impacts customer environments. Both HPE InfoSight telemetry data and ESG’s quantitative survey data show that the benefit delivered to HPE Nimble Storage customers is significant, driving: • 79% lower IT operational expenses. • 73% fewer trouble ti
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Jul 18, 2018
Applications are the engines that drive today’s digital businesses. When the infrastructure that powers those applications is difficult to administer, or fails, businesses and their IT organizations are severely impacted. Traditionally, IT assumed much of the responsibility to ensure availability and performance. In the digital era, however, the industry needs to evolve and reset the requirements on vendors. HPE Nimble Storage has broken away from convention and transformed how storage is managed and supported with the HPE InfoSight predictive analytics platform. HPE engaged ESG to conduct a quantitative survey of the HPE Nimble Storage installed base, as well as non-HPE Nimble Storage customers, to better assess how HPE InfoSight positively impacts customer environments. Both HPE InfoSight telemetry data and ESG’s quantitative survey data show that the benefit delivered to HPE Nimble Storage customers is significant, driving: • 79% lower IT operational expenses. • 73% fewer trouble ti
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Hewlett Packard Enterprise
Published By: Pure Storage     Published Date: Jul 03, 2019
Deep learning opens up new worlds of possibility in artificial intelligence within the Financial Services industry, enabled by advances in computational capacity, the explosion in data, and the advent of deep neural networks. But data is evolving quickly and legacy storage systems are not keeping up. Advanced AI applications require a modern all-flash storage infrastructure that is built specifically to work with high-powered analytics.
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Pure Storage
Published 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
Published By: Group M_IBM Q418     Published Date: Sep 10, 2018
There are three things that senior executives in the financial services industry want from their investments in computing systems. They are the same three things these institutions require for their very survival. First is unwavering security. The integrity of customer accounts and records is paramount to maintain trust across the financial ecosystem. Cybercrime is anathema to the core function of banking and cannot be tolerated. Next is captivating, personalized experiences based on real-time data analytics leading to instantaneous customer fulfillment. And finally, there is the essential delivery of these secure experiences while providing a cost and efficiency advantage over competing solutions
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Group M_IBM Q418
Published By: Hitachi Vantara     Published Date: Aug 02, 2018
In this inforgraphic, we are going to show you the possibilities with modernised, optimized data infrastructure. In doing so, we aim to bring you ideas about how you can bring your own data-driven business vision to life, focusing on the outcomes that matter most to you. In essence, we will be discussing five main industries and the possibilities for modernized data infrastructure. We will be displaying how Banking and Financial Services, Telecommunications, manufacturing, healthcare and retail can use data, analytics and automation to optimize their business, therefore bringing about a competitive edge which previous appeared unimaginable. Using data correctly, most importantly building proper data infrastructures, can be the driving force behind obtaining a competitive edge. Data is your story. And it’s our story, too.
Tags : 
digital transformation, data infrastructure, data optimisation
    
Hitachi Vantara
Published By: Hitachi Vantara     Published Date: Aug 13, 2018
In this inforgraphic, we are going to show you the possibilities with modernised, optimized data infrastructure. In doing so, we aim to bring you ideas about how you can bring your own data-driven business vision to life, focusing on the outcomes that matter most to you. In essence, we will be discussing five main industries and the possibilities for modernized data infrastructure. We will be displaying how Banking and Financial Services, Telecommunications, manufacturing, healthcare and retail can use data, analytics and automation to optimize their business, therefore bringing about a competitive edge which previous appeared unimaginable. Using data correctly, most importantly building proper data infrastructures, can be the driving force behind obtaining a competitive edge. Data is your story. And it’s our story, too.
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Hitachi Vantara
Published By: Workday Italy     Published Date: Sep 19, 2018
Providing all employees with easy, timely access to information is critical in today’s business landscape. Discover how a cloud-based system gives you a single source of truth, across the entire business, so you get data that’s trustworthy, actionable, and available in real time.
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Workday Italy
Published By: Workday Spain     Published Date: Sep 19, 2018
Providing all employees with easy, timely access to information is critical in today’s business landscape. Discover how a cloud-based system gives you a single source of truth, across the entire business, so you get data that’s trustworthy, actionable, and available in real time.
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Workday Spain
Published 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
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