This paper is for IT development executives looking to gain control of open source software as part of a multi-source development process. You can gain significant management control over open source software use in your development organization. Today, many IT executives, enterprise architects, and development managers in leading companies have gained management control over the externally-sourced software used by their application development groups. Download this free paper to discover how.
Published By: Tricentis
Published Date: Aug 19, 2019
Think back just 5 years ago. In 2014…
• The seminal DevOps book—Gene Kim’s The Phoenix Project—was one year old
• Gartner predicted that 25% of Global 2000 enterprises would adopt DevOps to some extent by 20161
• "Continuous Testing” just started appearing in industry publications and conferences2
• Many of today’s popular test frameworks were brand new—or not yet released
• The term “microservices” was just entering our lexicon
• QC/UFT and ALM were still sold by HP (not even HPE yet)
• Only 30% of enterprise software testing was performed fully “in house”3
• There was no GDPR restricting the use of production data for software testing
• Packaged apps were typically updated on an annual or semi-annual basis and modern platforms like
SAP S/4HANA and Salesforce Lightning hadn’t even been announced
Times have changed—a lot. If the way that you’re testing hasn’t already transformed dramatically, it will soon.
And the pace and scope of disruption will continue to escalate throughout the fo
Published By: Tricentis
Published Date: Aug 19, 2019
Let’s face it. Businesses don’t want—or need—perfect software. They want to deliver new, businessdifferentiating
software as soon as possible. To enable this, we (Development and Testing teams) need fast
feedback on whether the latest innovations will work as expected or crash and burn in production. We also
need to know if these changes somehow broke the core functionality that the customer base—and thus the
This is where Continuous Testing comes in.
Continuous Testing is the process of executing automated tests as part of the software delivery pipeline in
order to obtain feedback on the business risks associated with a software release candidate as rapidly as
Published By: Tricentis
Published Date: Aug 19, 2019
The way that we develop and deliver software has changed dramatically in the
past 5 years—but the metrics we use to measure quality remain largely the
same. Despite seismic shifts in business expectations, development methodologies,
system architectures, and team structures, most organizations still
rely on quality metrics that were designed for a much different era.
Every other aspect of application delivery has been scrutinized and optimized
as we transform our processes for DevOps. Why not put quality metrics under
the microscope as well?
Are metrics like number of automated tests, test case coverage, and pass/fail
rate important in the context of DevOps, where the goal is immediate insight
into whether a given release candidate has an acceptable level of risk? What
other metrics can help us ensure that the steady stream of updates don’t undermine
the very user experience that we’re working so hard to enhance?
To provide the DevOps community an objective perspective
on what quality
Analyst firms Gartner, Inc. and Forrester are projecting accelerated data virtualization adoption for both first-time and expanded deployments. What are the uses cases for this technology? At its Data and Analytics Summit in London in March 2018, Gartner answered this question by identifying 13 data virtualization use cases. This paper explores each of these use cases by:
Identifying key requirements
Showing how you can apply TIBCO® Data Virtualization to address these needs
Listing the benefits you can expect when implementing TIBCO Data Virtualization for the use case
Digital business initiatives have expanded in scope and complexity as companies have increased the rate of digital innovation to capture new market opportunities. As applications built using fine-grained microservices and functions become pervasive, many companies are seeing the need to go beyond traditional API management to execute new architectural patterns and use cases.
APIs are evolving both in the way they are structured and in how they are used, to not only securely expose data to partners, but to create ecosystems of internal and/or third-party developers.
In this datasheet, learn how you can use TIBCO Cloud™ Mashery® to:
Create an internal and external developer ecosystem
Secure your data and scale distribution
Optimize and manage microservices
Expand your partner network
Run analytics on your API performance
Tips and best practices for data analytics executives
Organizations today understand the value to be derived from arguably their greatest asset—data. When successfully aggregated and analyzed, data can unlock valuable insights, solve problems, improve products and services, and help companies gain a competitive edge. However, analytics executives face significant challenges in collecting, validating and analyzing data to deliver the right analytic insight to the right person at the right time.
This e-book is designed to help. First, we'll explore the growing expectations for data analytics and the rise of the analytics executive. Then we'll explore a range of specific challenges those executives face, including those around data blending, analytics, and the organization itself, and offer best practices and strategies for meeting them.
With the new TIBCO Spotfire® A(X) Experience, we are revolutionizing analytics and business intelligence.
This new platform accelerates the personal and enterprise analytics experience so you can get from data to insights in the fastest possible way. With the fusion of technology enablers like machine learning, artificial intelligence, and natural language search, the Spotfire® X platform redefines what’s possible for analytics and business intelligence, simplifying for everyone how data and insights are generated, consumed, and acted on.
Download this whitepaper to learn more, then check out the new Spotfire analytics. It’s unlike anything you have ever seen. Simple, yet powerful, it changes everything.
A perfect storm of legislation, market dynamics, and increasingly sophisticated fraud strategies requires you to be proactive in detecting fraud quicker and more effectively.
TIBCO’s Fraud Management Platform allows you to meet ever-increasing requirements faster than traditional in-house development, easier than off-the-shelf systems, and with more control because you’re in charge of priorities, not a vendor. All this is achieved using a single engine that can combine traditional rules with newer predictive analytics models.
In this webinar you will learn:
Why a fraud management platform is necessary
How to gain an understanding of the components of a fraud management platform
The benefits of implementing a fraud management platform
How the TIBCO platform has helped other companies
Unable to attend live? We got you. Register anyway and receive the recording after the event.
What if you could use just one platform to detect all types of major financial crimes?
One platform to handle the analytical tasks of fraud detection, including:
Data processing and aggregation
Statistical/mathematical/machine learning modeling
One platform that could successfully reduce complex and time-consuming fraud investigations by combining extremely different domains of knowledge including Business, Economics, Finance, and Law. A platform that can cover payments, credit card transactions, and know your customer (KYC) processes, as well as similar use cases like anti-money laundering (AML), trade surveillance, and crimes such as insurance claims fraud.
Learn more about TIBCO's comprehensive software capabilities behind tackling all these types of fraud in this in depth whitepaper.
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
FINANCIAL SERVICES’ HISTORY OF DISRUPTION
Financial Services is an industry driven by disruption. Transformative business models such as low-cost brokerages, innovative investment products like ETFs, and the huge regulatory mandates like Gramm-Leach-Bliley are but a few examples. Here are some others:
• New fintech firms such as a recent nine billion dollar investment in Ant Financial Services Group and myriad other venture capital-led fintech startups targeting well established segments across the financial services industry
• Robo-advisor services powered by artificial intelligence and machine learning intermediating financial advisors and portfolio managers alike
• Ever changing regulatory and risk management mandates, such as GDPR, Basel III, and Open Banking, transforming customer engagement and capital allocation
Read this whitepaper to learn how you can overcome these and other disruptions.
The biggest headache for most payment operations teams is cost control — and a large part of it comes from fraud management:
Investigation teams waste large amounts of time just assembling the data needed to make decisions.
Detection engines are always playing catchup with the latest fraud patterns.
Ever changing regulations increase the time and cost required to reach compliance and meet audit standards.
Given their scope and impact, replacing core fraud systems is not an option for most firms. But instead of replacing them, you can improve the investigative process with augmented investigation, and improve the detection process by enhancing current systems.
This whitepaper describes three ways financial services firms can use TIBCO solutions to lower the cost of investigations through faster results, reduce fraud losses through better detection, and simplify audit and regulatory compliance through centralized access to information.
First Citizens Bank & Trust Company is a chartered commercial bank offering a complete line of financial services. With over 200 point-to-point applications and disparate systems, the bank needed a way to reduce its applications portfolio and streamline integration among systems, including fast integration of systems from newly acquired banks. First Citizens turned to TIBCO ActiveMatrix BusinessWorks™ and TIBCO® Messaging for their simplicity and ability to quickly get IT processes up and running. With standard services, this transformation resulted in reduced deployment time—from eight months to 18 weeks, resulting in reduced credit card loan project time.
Fraud is one of the biggest overheads for most financial firms. Detecting crime is hard as fraud constantly evolves and the tools have to be able to evolve with it. Also one of the key areas of focus for most firms is to address the cost of handling the false positives that all automated systems generate.
Watch this short demonstration to learn how TIBCO’s advanced analytics and data science solutions can help you overcome these challenges.
The current trend in manufacturing is towards tailor-made products in smaller lots with shorter delivery times. This change may lead to frequent production modifications resulting in increased machine downtime, higher production cost, product waste—and the need to rework faulty products.
To satisfy the customer demand behind this trend, manufacturers must move quickly to new production models. Quality assurance is the key area that IT must support.
At the same time, the traceability of products becomes central to compliance as well as quality. Traceability can be achieved by interconnecting data sources across the factory, analyzing historical and streaming data for insights, and taking immediate action to control the entire end-to-end process. Doing so can lead to noticeable cost reductions, and gains in efficiency, process reliability, and speed of new product delivery. Additionally, analytics helps manufacturers find the best setups for machinery.
TIBCO® Connected Intelligence for Smart Factory Insights
By processing real-time data from machine sensors using artificial intelligence and machine learning, it's possible to predict critical events and take preventive action to avoid problems. TIBCO helps manufacturers around the world predict issues with greater accuracy, reduce downtime, increase quality, and improve yield.
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.
The Insurance industry continues to undergo significant transformation, with
new technologies, business models, and competitors entering the market at an
increasing rate. To be successful in attracting and retaining the most valuable
customers, insurance companies must innovate and increase the speed at which
they respond to customer demands. Traditionally, the insurance software market
was dominated by a handful of specialist vendors with products that were initially
expensive, difficult to deploy, costly to maintain, and did not provide the speed
needed for today’s market.
Now there has been a shift away from these “black box” applications to platforms
that allow insurers to make their algorithmic IP available to business users, allowing
much faster response to business demands. The algorithmic platform approach also
comes at a fraction of the cost of black box solutions, while delivering advanced
analytical techniques like Machine Learning and Artificial Intelligence (AI).
As an insurer, the challenges you face today are unprecedented. Siloed and heterogeneous existing systems make understanding what’s going on inside and outside your business difficult and costly. Your systems weren’t set up to take advantage of, or even handle, the volume, velocity, and variety of new data streaming in from the internet of things, sensors, wearables, telematics, weather, social media, and more. And they weren’t designed for heavy human interaction. Millennials demand immediate information and services across digital channels. Can your systems keep up?