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financial analytics

Results 51 - 75 of 119Sort Results By: Published Date | Title | Company Name
Published By: TIBCO Software     Published Date: Nov 07, 2019
Is your risk infrastructure showing signs of strain in the face of FRTB, Basel III, and BCBS 239? Imagine a risk function where discrepancies among business, risk, and finance views are eliminated, setting the stage for advanced technologies, robotic process automation, and machine learning. Take a step beyond first generation data governance towards unified data and analytics across the enterprise. In this whitepaper, we explore how technology can help financial institutions not just automate compliance, but demonstrate organizational commitment to the change management process and adherence to the principles of regulations and law. Get insights into: How you can master regulatory change as part of transforming the risk function, elevating knowledge and data resources through governance, MDM, data science, and analytics An overview of the key market challenges for delivering a unified data management and governance model Real-world case studies from G-SIBs focused on data governanc
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TIBCO Software
Published By: ParAccel     Published Date: Dec 16, 2010
This solution brief explains how Fidelity Information Services (FIS) executives realized that they needed an analytics database solution that could keep up with additional fraud complexity as well as much larger sets of data to improve detection rates.
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paraccel, analytic database, financial fraud analytics, fidelity information services
    
ParAccel
Published By: ParAccel     Published Date: Nov 15, 2010
This solution brief explains how Fidelity Information Services (FIS) executives realized that they needed an analytics database solution that could keep up with additional fraud complexity as well as much larger sets of data to improve detection rates.
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paraccel, analytic database, financial fraud analytics, fidelity information services
    
ParAccel
Published By: AWS     Published Date: Aug 06, 2019
Old-guard database providers are expensive, proprietary, have high lock-in costs, and impose restrictive licensing terms. The challenge to date has been to achieve the same performance and availability of commercial-grade databases on open source databases such as MySQL, PostgreSQL, and MariaDB. Examine key considerations that go into any database migration decision and specific use cases—in Financial Services and Healthcare Analytics implementations—where Datavail carefully managed database migrations from traditional database providers to the cloud—and in particular Amazon Aurora. Download the eBook to learn about: Migration considerations and strategies including lift and shift, re-platforming, and re-factoring Security and compliance functionality enabled by Amazon Aurora Performance and scalability opportunities enabled by AWS
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AWS
Published By: FICO EMEA     Published Date: May 21, 2019
Fintechs and challenger banks have put a dent in the financial services universe. By developing compelling new products, services and experiences, these companies have set a new standard and raised customers’ expectations. While traditional banks work to meet these raised expectations, the challenge for new market entrants is turning their beachheads into sustainable, profitable businesses. FICO facilitates this transformation with our industry-leading analytics capabilities.
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fitech, analytics, analytic decisioning, challenger banks, banking, financial services
    
FICO EMEA
Published By: iKnowtion     Published Date: Nov 09, 2011
The financial services marketplace has changed dramatically, prompting many to review their marketing strategies. Find out how market segmentation, customer profitability, and customer mapping were used to help this company deliver desirable value propositions to customers.
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crm strategies, market segments, customer mapping, profitability, value propositions, financial services, marketing strategies, analytics
    
iKnowtion
Published By: iKnowtion     Published Date: Nov 17, 2011
Learn how a financial services company can retain critical customer assets, and their method for predicting customers that will transfer assets in and out of accounts and the expected amounts.
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customer intelligence, customer loyalty, crm solutions, customer profiling, probability choice models, trigger marketing, financial services, profitability
    
iKnowtion
Published By: Oracle Corporation     Published Date: May 11, 2012
Download this whitepaper, for a clear view of Oracle BI 11g and how it is designed to help today's organizations drive profitable growth, change, and many other operational and financial performance goals.
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oracle, 11g, growth, change, operation, financial, performance, scorecards
    
Oracle Corporation
Published By: Marketo     Published Date: Aug 02, 2016
Download this ebook and learn by example how financial institutions can embrace: - Marketing automation - Social media marketing - Content marketing - Marketing analytics - And many more key digital marketing trends
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marketo, marketing, digital marketing, financial services, marketing automation, social media marketing, content marketing, marketing analytics
    
Marketo
Published By: IBM     Published Date: Dec 07, 2010
Case Management And the Implications in the Financial Services Industry.
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ibm, advanced case management podcast, financial services industry, customer service, content and process management, analytics, business rules, collaboration
    
IBM
Published By: IBM Software     Published Date: Feb 07, 2011
McCormick & Schmick's Seafood Restaurants needed better insight to understand and take advantage of key business trends. Find out why they chose IBM Cognos Express to deliver that insight and what it means for their success in a fiercely competitive market space.
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ibm cognos express, mccormick and schmick, financial performance, business trend, business analytics, financial management
    
IBM Software
Published By: SAS     Published Date: Apr 25, 2017
This white paper, sponsored by SAS, examines the interplay between the challenges and opportunities afforded by the growing breadth of digital channels offered by financial institutions. Mobile wallets, real-time peer-to-peer (P2P), and digital account opening all require the right mix of security solutions, background analytics, and personnel to balance positive customer experience with robust fraud protection. JAVELIN independently produced this whitepaper and maintains complete independence in its data collection, findings, and analysis.
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SAS
Published By: SAS     Published Date: Oct 18, 2017
Financial organizations are deploying artificial intelligence and machine learning in the fight against financial crimes. David Stewart, Director of Pre-Sales for the Global Security Intelligence Practice at SAS, offers tips to help separate fact from market hype when reviewing new data analytics tools. You’ll learn about: • The new industry intrigue with artificial intelligence and machine learning. • How these emerging solutions can benefit financial institutions. • The SAS approach of “crawl, walk, run” when it comes to adopting new analytics tools.
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SAS
Published By: Netezza IBM US     Published Date: Mar 27, 2012
Forrester's interviews with Epsilon, a multichannel marketing services provider, and subsequent financial analysis based on assumptions that Forrester used illustrate the potential ROI from the use of IBM Netezza appliances and concluded that IBM Netezza Data Warehouse Appliances provide competitive differentiation through faster analytics while reducing capital and operational costs.
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ibm, technology, netezza, data warehouse, analytics, roi, enterprise
    
Netezza IBM US
Published By: IBM     Published Date: May 08, 2013
Learn what CFO Research found when they surveyed finance executives from U.S. companies about their reporting processes and the tools they use to prepare financial statements. Learn more about ‘Big Data and Business Analytics’ through IBM’s latest market leading solutions. Register and attend this complimentary virtual event on June 11 by IBM Business Analytics
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cfo, finance, tools, financial statements
    
IBM
Published By: Adobe     Published Date: Aug 02, 2017
Get in on the content creation game and use it to improve the journey for your customers. Consumers are taking a much more active role in their finances; advice is freely available and most financial administration, from payments to trading, can now be done from your phone. Provide consistent messaging based on customer journey analytics; find out what information your customers are looking for, and provide the answers through the fewest possible clicks. Continually track and test these journeys to optimise the content and messaging.
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consumers, customer success, content creation, content optimisation, adobe, finances
    
Adobe
Published By: AWS     Published Date: Nov 28, 2018
Financial institutions run on data: collecting it, analyzing it, delivering meaningful insights, and taking action in real time. As data volumes increase, organizations demand a scalable analytics platform that can meet the needs of data scientists and business users alike. However, managing an on-premises analytics environment for a large and diverse user base can become time-consuming, costly, and unwieldy. Tableau Server on Amazon Web Services (AWS) is helping major Financial Services organizations shift data visualization and analytics workloads to the cloud. The result is fewer hours spent on manual work and more time to ask deeper questions and launch new data analyses, with easily-scalable support for large numbers of users. In this webinar, you’ll hear how one major asset management company made the shift to cloud data visualization with Tableau Server on AWS. Discover lessons learned, best practices tailored to Financial Services organizations, and starting tactics for scalable analytics on the cloud.
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AWS
Published By: Qlik     Published Date: Jun 24, 2016
This briefing provides a snapshot of the opportunities for financial services organizations looking to broaden and deepen the reach of analytics.
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qlik, finance analytics, data, business technology
    
Qlik
Published By: IBM     Published Date: Aug 22, 2014
The ongoing processes of managing collateral, loan covenants and monitoring borrowers' financial condition are key to ensuring that banks are in the best position to minimize loss.
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credit risk management, managing collateral, financial monitoring, risk analytics, finance
    
IBM
Published By: SAS     Published Date: Mar 06, 2018
With decisions riding on the timeliness and quality of analytics, business stakeholders are less patient with delays in the development of new applications that provide reports, analysis, and access to diverse data itself. Executives, managers, and frontline personnel fear that decisions based on old and incomplete data or formulated using slow, outmoded, and limited reporting functionality will be bad decisions. A deficient information supply chain hinders quick responses to shifting situations and increases exposure to financial and regulatory risk—putting a business at a competitive disadvantage. Stakeholders are demanding better access to data, faster development of business intelligence (BI) and analytics applications, and agile solutions in sync with requirements.
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SAS
Published By: SAS     Published Date: Mar 06, 2018
These emerging technologies and solutions certainly are not unique to financial services. But Stewart, a business director of security intelligence solutions within the SAS Security Intelligence Practice, sees particular interest and application in AML circles. "There remain a good number of manual processes within financial crimes departments in financial institutions, and AI can help automate some of those rote tasks such as document review or alert triage," he says. "Due to investments in technology, there is a lower barrier of entry for midsized institutions. "And finally, there's this anxiety over the unknown - those risks they are not able to detect, that may be hidden using traditional techniques - so they're hoping that more advanced, unsupervised learning techniques can be used to identify those edge cases or behaviors that are out of norm." In an interview about analytics and the AML paradigm shift, Stewart discusses: • The new industry intrigue with artificial intelligence a
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SAS
Published By: SAS     Published Date: Apr 04, 2018
This white paper, sponsored by SAS, examines the interplay between the challenges and opportunities afforded by the growing breadth of digital channels offered by financial institutions. Mobile wallets, real-time peer-to-peer (P2P), and digital account opening all require the right mix of security solutions, background analytics, and personnel to balance positive customer experience with robust fraud protection. JAVELIN independently produced this whitepaper and maintains complete independence in its data collection, findings, and analysis.
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SAS
Published By: SAS     Published Date: Mar 01, 2012
This white paper provides a top-level overview explaining what business analytics can do for your company - and the 8 key steps to accelerating product innovation, optimizing pricing and discovering drivers of financial performance.
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sas, analytics, business analytics, business intelligence, customer intelligence, data management, fraud & financial crimes, high-performance analytics
    
SAS
Published By: SAS     Published Date: Mar 01, 2012
The traditional managed reporting approach to BI is challenged to keep up with changing demand for business information. This research finds that providing business users with highly visual/interactive tools can help ensure they get what they need.
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sas, analytics, business analytics, business intelligence, customer intelligence, data management, fraud & financial crimes, high-performance analytics
    
SAS
Published By: SAS     Published Date: Mar 01, 2012
Learn about the emerging best practices for mobile BI usage and the framework by which you can assess your own management capabilities for enterprise mobile BI adoption.
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sas, analytics, business analytics, business intelligence, customer intelligence, data management, fraud & financial crimes, high-performance analytics
    
SAS
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