Published By: BehavioSec
Published Date: Oct 04, 2019
Authentication is evolving from static one-time user action, to transparent and continuous ways of validating digital identities without imposing frustration on end users. Behavioral biometrics technologies invisibly and unobtrusively authenticate users by validating the manner in which they physically interact online. Behavioral biometrics technologies learn how individual users hold mobile devices in their hands and press their fingers on the touchscreen. On computers, the system learns how users type on keyboards and move their mouse and cursor. The BehavioSec solution gathers this behavioral data and analyzes it using advanced techniques, to ensure that the user is who you expect them to be.
Every lender, bank, and credit union has different product mixes and marketing priorities, but one thing they all share is the goal of winning, retaining, and growing our customer relationships. Typically, there are two ways to maximize customer engagement: seek margin with products like credit cards, or seek volume and deeper relationships with products like home equity.
This report analyzes both of these options through three key lenses: current market conditions, access to today’s high-quality borrowers, and the rich opportunity for integrated, targeted marketing. Our goal is to enable you to determine the best way to fine-tune your strategic customer engagement for 2019 by helping you:
Review current market conditions.
Connect with higher-quality borrowers.
Develop a 360-degree, integrated marketing mix.
AA Ireland specializes in home, motor, and travel insurance and provides emergency rescue for people in their homes and on the road, attending to over 140,000 car break downs every year, 80% of which are fixed on-the-spot.
“In each of the last five years, the industry lost a quarter billion in motor insurance," says Colm Carey, chief analytics officer. "So, there's a huge push for new data, models, ways to segment and pick profitable customer types—and get a lot more sophisticated. Our goal is to optimize pricing, understand the types of customers we're bringing, and the types we're trying to attract. We would like to tie that across the business. Marketing will run a campaign, trying to attract a lot of customers, but maybe they're not the right type. "We wanted to step away from industry standard software and go with something that was powerful and future-proof. In 2016, we had an opportunity to analyze all software.
We chose the TIBCO® System of Insight with TIBCO BusinessWorks™ i
Today, you can improve product quality and gain better control of the entire
manufacturing chain with data virtualization, machine learning, and advanced
data analytics. With all relevant data aggregated, analyzed, and acted on, sensors,
devices, people, and processes become part of a connected Smart Factory
•? Increased uptime, reduced downtime
•? Minimized surplus and defects
•? Better yields
•? Reduced cost due to better quality
•? Fewer deviations and less non-conformance
Over the past decade there has been a major transformation in the manufacturing industry. Data has enabled a paradigm shift, with real-time IoT sensor data and machine learning algorithms delivering new insights for process and product optimization.
Smart Manufacturing, also known as Industry 4.0, has laid the groundwork for the next industrial revolution. Using a smart factory system, all relevant data is aggregated, analyzed, and acted upon.
We call this Manufacturing Intelligence, which gives decision-makers a competitive edge to:
Digitize the business
Survive digital disruption
Watch this webinar to understand use cases and their underlying technology that helped our customers become smart manufacturers.
Big Data and analytics workloads represent a new frontier for organizations. Data is being collected from sources that did not exist 10 years ago. Mobile phone data, machine-generated data, and website interaction data are all being collected and analyzed. In addition, as IT budgets are already under pressure, Big Data footprints are getting larger and posing a huge storage challenge. This paper provides information on the issues that Big Data applications pose for storage systems and how choosing the correct storage infrastructure can streamline and consolidate Big Data and analytics applications without breaking the bank.
Component Content Management: A New Paradigm in Intelligent Content Services
While technology has changed the world, the way that companies manage information has inherently stayed the same. The advent of near-ubiquitous connectivity among applications and machines has resulted in a data deluge that will fundamentally alter the landscape of content management. From mobile devices to intelligent machines, the volume and sophistication of data have surpassed the ability of humans to manage it with outdated methods of collection, processing, storage, and analysis. The opportunity afforded by the advent of artificial intelligence (AI) has stimulated the market to search for a better way to capture, classify, and analyze this data in its journey to digital transformation (DX). The paradigm of document-based information management has proven to be a challenge in finding, reusing, protecting, and extracting value from data in real time. Legacy systems may struggle with fragmented information
Envision this situation at a growing bank. Its competitive landscape demands an agile
response to evolving customer needs. Fortunately, analytically minded professionals in
different divisions are seeing results that positively affect the bottom line.
• A data scientist in the business development team analyzes data to create customized
• experiences for premium customers.
• A digital marketer tracks and influences the customer journey for prospective
• mortgage customers.
• A risk analyst builds risk models for the bank’s loan portfolios.
• A data analyst examines data about local customers.
• A technical architect defines a new system to protect bank data from internal and
• external cyberthreats.
• An application developer builds a new mobile app for online customer portfolio
Between them, these employees might be using more than a dozen packages for
analytics and data management.
Published By: Iovation
Published Date: Aug 02, 2019
Account takeover. Synthetic identities. The security risks that financial services and online merchants face are endless, and the fraud landscape is changing dramatically. You not only need to be aware of how it’s evolving, but how to address these threats, protect your customers and your brand. iovation has analyzed data from our consortium made up of six billion devices seen, 55 million fraud reports, and thousands of fraud analysts to determine the most significant fraud trends and what you can do to combat them.
IoT adoption is expected to generate a 21% increase in corporate profits by 2022. This business value comes from the ability to automate processes and collect and analyze massive amounts of data—so organizations can make better informed decisions and deliver powerful customer experiences.
But how are organizations really putting IoT to work for their business? And how can IoT risks be mitigated so these rewards can truly be achieved?
This e-book explores the potential of IoT in the enterprise, which industries are leading the way and how to secure your connected things. It also provides:
• 7 best practices for data privacy and security policies
• 7 items to consider for device security
• 6 key considerations for network connection security
Performance evaluation is coming of age. Once a narrow, back office role focused solely on
crunching returns, it has become ever more integrated into the DNA of investment firms. Both
internally and externally, performance evaluation adds value, helping senior management make
key judgement calls where the difference between the right solution and the wrong solution is the
difference between growth or decline. The performance analyst of the future will provide valuable
input into nearly every area of an investment firm.
What began as a mathematical task—calculating investment returns—is morphing into something
much broader. The objective of performance evaluation today is determining what is behind the
return being analyzed. What were the key drivers—allocation or selection? What risk was taken to
achieve the return? Was it skill, or was it luck, that produced the return?
Informatica is a leader in Enterprise Cloud Data
Management, providing solutions that help
organizations optimize, transform, and analyze
their data. Informatica’s Intelligent Data Platform
is built on a microservices architecture, helping
organizations ensure their data is trusted, secure,
governed, accessible, timely, relevant, and
actionable on-premises or on the cloud.
DigiCert implemented Imperva to protect their hybrid environment. They
were already using Imperva’s WAF on-premises to defend against Layer 7
attacks, known threats, and zero-day attacks to rapidly identify the threats
that required investigation. By expanding their usage of Imperva, DigiCert
was able to extend protection to AWS and maintain their security posture
both during and after migration.
Imperva’s sophisticated threat detection technology draws upon vast
experience in the WAF market. As traffic passes through their network,
advanced client classification technology (together with crowdsourcing
and IP reputation data) automatically analyzes it to identify and block web
application attacks. These include SQL injection, cross-site scripting, illegal
resource access, comment spam, site scraping, malicious bots, and other
top threats. Granular filters and controls reduce false positives and prevent
access from unwanted visitors, while IP address shielding hides the web
All those employees who access email, financial systems, human resources, and other core corporate applications; Replay for Exchange continuously protects and monitors the health of your Exchange data stores and allows administrators to quickly search, recover, and analyze mailbox content. With Replay for Exchange you can restore individual email messages, folders, or mailboxes to a live Exchange server or directly to a PST, thereby solving some of your most costly and time consuming challenges. Take advantage of these Free Trial Offer!!
Published By: Mindfire
Published Date: May 07, 2010
In this report, results from well over 650 real-life cross-media marketing campaigns across 27 vertical markets are analyzed and compared to industry benchmarks for response rates of static direct mail campaigns, to provide a solid base of actual performance data and information.
Solid-state array features, pricing, scale and density are improving at a rapid pace, while agility and disaggregation benefits are providing long-term value. Gartner has analyzed 19 SSA products across five high-impact use cases to quantify what's important to infrastructure and operations leaders.
Published By: Cisco EMEA
Published Date: Mar 05, 2018
The Cisco® Incident Response team is led by elite security specialists who can uncover the source of threats by analyzing and synthesizing intelligence from multiple sources. These sought-after specialists consistently deliver resolution in a shorter timeframe, returning businesses like yours to normal. Fast.
To find out more about Cisco Incident Response Services download this whitepaper today.
In Forrester’s 40-criteria evaluation of subscription billing platform solutions, we identified the eight most significant vendors in the category — Apttus, Aria Systems, Digital River,
goTransverse, Recurly, SAP hybris, Vindicia, and Zuora — and researched, analyzed, and scored them. This report details our findings about how well each vendor fulfills our criteria and where they stand in relation to each other to help eBusiness professionals select the right partner as they seek to develop and support alternative business models for both existing and new
products and services.
This white paper discusses the issues involved in the traditional practice of deploying transactional and analytic applications on separate platforms using separate databases. It analyzes the results from a user survey, conducted on SAP's behalf by IDC, that explores these issues.
In this report, we'll look at some of the top pressures that organizations are facing when it comes to optimizing their infrastructure for modern services and workloads, analyze the strategies taken by successful businesses and offer key recommendations for those organizations looking to become leaders in high performing IT infrastructures.
In midsize and large organizations, critical business processing continues to depend on relational databases including Microsoft® SQL Server. While new tools like Hadoop help businesses analyze oceans of Big Data, conventional relational-database management systems (RDBMS) remain the backbone for online transaction processing (OLTP), online analytic processing (OLAP), and mixed OLTP/OLAP workloads.
Big Data is not just a big buzzword. Government agencies have been collecting large amounts of data for some time and analyzing the data collected to one degree or another. Big data is a term that describes high volume, variety and velocity of information that inundates an organization on a regular basis. But it’s not the amount of data that’s important. It’s what organizations do with the data that matters. Big data can be analyzed for insights that lead to better decisions and better services.
As businesses plunge into the digital future, no asset will have a greater impact on success than data. The ability to collect, harness, analyze, protect, and manage data will determine which businesses disrupt their industries, and which are disrupted; which businesses thrive, and which disappear. But traditional storage solutions are not designed to optimally handle such a critical business asset. Instead, businesses need to adopt an all-flash data center.
In their new role as strategic business enablers, IT leaders have the responsibility to ensure that their businesses are protected, by investing in flexible, future-proof flash storage solutions. The right flash solution can deliver on critical business needs for agility, rapid growth, speed-to-market, data protection, application performance, and cost-effectiveness—while minimizing the maintenance and administration burden.