A comprehensive solution for leveraging data in today's financial industry. Most organizations realize that the key to success lies in how well they manage data—and the banking industry is no exception. From customer statistics to strategic plans to employee communications, financial institutions are constantly juggling endless types of information.
With the economy in constant fluctuation, this white paper is especially timely. “Enhancing your infrastructure in an uncertain economy to support your SOA business initiatives” defines the challenges facing IT executives, and outlines actions they can take now to cut costs, increase productivity and get more out of existing IT investments.
Published By: HP VMware
Published Date: Mar 03, 2008
There are probably as many approaches to data protection and disaster recovery as there are types of disasters that might befall your datacenter. Figuring out which approach is best for your datacenter—from a technical, operational and financial outlook—is enough to keep a responsible manager like you up at night. Download this paper to learn about the proven, flexible solution that prepares your data to survive and recover from almost any calamity, from HP and VMware.
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.
In this paper, Zebra shows how to accelerate the path to IoT through the Visible Value Chain (VVC). It enables organizations to gain real-time visibility into their operations allowing them to be more nimble, agile, and make better-informed business decisions. Once organizations have seamlessly enabled device connection to the data center, they can see events occurring throughout their value chain in real time—and act upon them. Doing so creates new value and intelligence from both legacy and new devices, while mining the vast riches of Big Data.
Every day, people in your organization are struggling to make the right decisions - working with customers, partners, and each other - because they simply can't use all available data. There's too much of it for humans to internalize, understand, and apply in real time. That's why organizations that automate and optimize decisions informed by predictive analytics have a significant advantage over competitors. Read this IBM white paper and discover how decision management can help you effectively leverage your business data to support faster, more-accurate real-time decisions in virtually every area of your business. You can learn the following: the common types of business decisions and how decision management affects them; why most decisions today aren't based on any real business insight; benefits of decision management-what it is and how to adopt it; and the role of predictive analytics in effective decision management.
Published By: Quantcast
Published Date: Jul 16, 2013
Increased competition in a world of growing and complex data requires tremendous resourcefulness to both find and implement scalable ways to grow your business. Using sophisticated data modeling coupled with real-time media buying, US Cellular was able to reduce their CPA to 46% below the campaign average. Read how big data works to drive customer acquisition in the complete success story.
A growing number of organizations are realizing the benefits of mobile devices, including increased productivity, enhanced efficiency and speedier response times. Yet while the use of mobile devices typically leads to lower costs and additional revenue opportunities, it also brings challenges associated with device and application procurement, data connections, service costs, content management and — most important — security.
SANS Institute looks at how network attacks can be avoided by utilizing a SIEM platform that combines historical data with real-time data from network sources and security policies for better, more accurate reporting.
Sophisticated advanced targeted malware requires a sophisticated approach. This solution brief explains how to defend your organization with a comprehensive, layered approach that identifies, contains, and remediates these insidious threats.
Make sure you’re getting the most out of your data and the artificial intelligence (AI) technologies available. Read the e-book, Six cloud data challenges solved for app developers and get actionable answers. Learn the best approach when faced with six familiar data scenarios:
Keeping track of essentials such as scalability and availability.
Making sure your app delivers consistent service to multiple customers.
Delivering data in real time, across the globe, without the complexities of multiple datacenters.
Creating actionable insights from big data.
Incorporating artificial intelligence into your apps.
Locking down security while building in the cloud.
Until recently, businesses that were seeking information about their customers, products, or applications, in real time, were challenged to do so. Streaming data, such as website clickstreams, application logs, and IoT device telemetry, could be ingested but not analyzed in real time for any kind of immediate action. For years, analytics were understood to be a snapshot of the past, but never a window into the present. Reports could show us yesterday’s sales figures, but not what customers are buying right now.
Then, along came the cloud. With the emergence of cloud computing, and new technologies leveraging its inherent scalability and agility, streaming data can now be processed in memory,
and more significantly, analyzed as it arrives, in real time. Millions to hundreds of millions of events (such as video streams or application alerts) can be collected and analyzed per hour to deliver insights that can be acted upon in an instant. From financial services to manufacturing, this rev
As cybercriminals look for new ways to break through defenses, it’s vital that organizations have access to real-time operational intelligence across their applications, services, and security infrastructure. As Recreational Equipment, Inc. (REI) migrated applications to Amazon Web Services (AWS), it needed to expand security capacity for edge protection of its AWS VPCs. REI chose Splunk for security monitoring, historical analysis, and data visualization in real time, to help it investigate events and mitigate operational risks.
Watch this webinar to learn how a financial services organization uses a simple, comprehensive data governance solution from Dataguise to discover, protect, and monitor sensitive personal data in real time across all its Amazon Web Services (AWS) data repositories, and to prepare for GDPR compliance.
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.
Learn how to tap powerful real-time brand conversations taking place in social media by investing in the proper tool to aggregate and share the data across your organization. Download this Webinar for a standards-based benchmarking review of the top social media monitoring tools and practical knowledge that will equip you to make a business case for the single best social media investment.
Real-Time Database Monitoring, Auditing, and Intrusion Prevention Databases store an enterprise's most valuable information assets, but in most organizations they are poorly protected. It's common sense to secure databases, but it's not that simple.
The growing number of sophisticated attacks and countless attack vectors are increasingly difficult to mitigate. Download our 10 Steps to Mitigate a DDoS Attack in Real Time Infographic to help you address current attacks and learn how to build a solution that will help you mitigate risk, lower management costs, and stay protected in the future.
Delivering combination of real time voice, video, and data is bandwidth intensive and requires complex network configuration to ensure the delivery of these time sensitive applications.
Download this paper to learn the recent WAN technology trends to enable companies to roll out and support UC without the cost and complexity of traditional WAN.
Today’s organizations face a ballooning data management and risk problem. The use of laptops, tablets, workstations, servers and smartphones in the enterprise to create and store critical data is growing at an alarming rate.
Many companies still rely on a legacy, platform-specific data backup solution, even though it doesn’t provide consistent backup across the enterprise. This outdated approach becomes especially risky when IT faces a data migration initiative. Whether migrating to a new version or brand new hardware on the client or server—organizations risk immense data loss and an expensive, intensive disaster recovery undertaking if they launch a data migration effort without first properly securing their data.
Continuous, real-time data backup is the only viable solution for protecting all enterprise data while providing for a seamless migration process. But how do you achieve it?
Schneider Electric is integrating datacenter infrastructure management (DCIM) software, big-data analytics and cloud services into the management of customers’ datacenters. Its recently launched StruxureOn cloud offering signals a new wave in datacenter operations, using a combination of machine learning, anomaly detection and event-stream playback to give operators real-time insights and alarming via their smartphones.
More capabilities and features are planned, including predictive analysis and, eventually, automated action. Schneider’s long-term strategy is to build a partner ecosystem around StruxureOn, and provide digital services that span its traditional datacenter business.
In today's competitive global business environment virtually all firms work diligently to analyze alternatives and to create a business strategy that enables competitive advantage. Once the strategy has been defined however, nine out of ten organizations fail to implement it effectively. Don't let this happen to you.
Credit Union Times is the nation's leading independent source for breaking news and analysis for credit union leaders. For more than 20 years, Credit Union Times has set the standard for editorial excellence and ethical, straight-forward reporting.