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.
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 no 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.
L’infrastructure Cloud, vous avez dû vous y mettre au début en prenant beaucoup de précaution… Vous avez probablement limité votre périmètre à un provisionnement rapide ou à une diminution des coûts matériels ou opérationnels.
Mais comment résister aux avantages de cette technologie ? Le cloud continue d’évoluer et de gagner en crédibilité dans tous les secteurs d’activité. Aujourd’hui, nous attendons de tous les systèmes d’entreprise qu’ils intègrent les avantages du cloud.
All’inizio, probabilmente avrai scelto di adottare l’infrastruttura cloud con una certa prudenza, limitandoti a un approvvigionamento rapido o alla riduzione dei costi operativi o delle macchine.
Ma come resistere ai vantaggi di questo nuovo modo di fruire della tecnologia? Il cloud continua a evolvere e a conquistare credibilità in tutti i settori. Oggi, ci aspettiamo che ogni sistema aziendale possa beneficiare dei vantaggi del cloud.
I progressi nel campo digitale rivoluzionano in profondità il nostro modo di lavorare, introducendo innovazioni nei nostri uffici praticamente ogni giorno. Queste tecnologie hanno alzato il livello delle aspettative, costringendo le aziende a operare con un'agilità senza precedenti.
Questi cambiamenti sono grandi opportunità, ma purtroppo ci imbattiamo anche in nuovi ostacoli che possono intralciare la nostra marcia verso il successo, come la necessità di innovare rapidamente, di minimizzare i costi e di reagire prontamente alle pressioni della concorrenza.
La tecnologia IaaS, un tempo vista con scetticismo da molti responsabili IT, viene oggi adottata da molte aziende, che trasferiscono sul cloud i workload e accantonano l’architettura locale che prima ritenevano indispensabile.
Nonostante i vantaggi in termini di prestazioni, flessibilità e opportunità di innovazione sperimentati dagli utenti che già hanno adottato questa tecnologia, alcune aziende ritardano la migrazione per paura del cambiamento.
Les avancées du numérique révolutionnent la manière dont nous travaillons, en apportant des innovations de façon permanente dans notre quotidien de travail. Ces technologies très prisées ont renforcé les attentes, obligeant les organisations à développer l'agilité métier à des niveaux sans précédent.
Même si les opportunités annoncées sont prometteuses, nous sommes confrontés à de nouveaux freins qui peuvent faire obstacle à la réussite, comme la nécessité d'innover rapidement, de minimiser les coûts et de répondre rapidement aux pressions exercées par la concurrence.
Pour réussir dans le contexte concurrentiel actuel, les entreprises doivent se liberer des limites inhérentes à leurs infrastructures informatiques existantes. L’époque de l’achat de matériel et de la gestion d’énormes centres de données pour faire fonctionner les systèmes informatiques est en train de prendre fin. La gestion et la maintenance des infrastructures sont tout simplement trop coûteuses.
Digital developments are forever shaping the way we work, bringing new innovations through our office doors almost every day. These high-demand technologies have increased expectations, with organizations now having to drive business agility at unprecedented levels.
Although we’re presented with enormous opportunity, we also face new obstacles that can block the path to success; obstacles such as the need to innovate quickly, keep costs down, and actively respond to competitive pressures.
To succeed in today’s competitive reality, businesses need to free themselves from the limitations of legacy IT infrastructure. The days of purchasing hardware and maintaining massive data centers to run IT must come to an end. Managing and maintaining your infrastructure is simply too expensive.
Explanation of the Oracle IaaS solutions and cases studies.
IT departments are under constant pressure to do more with less. Now, as well as keeping the lights on, they are expected to deliver projects that create real business value. As more businesses use digital technologies to disrupt their markets, this pressure is intensifying.
Infrastructure as a service (IaaS) is evolving against this background. Initially, it caught CIOs’ attention because it helped them cut costs. Today, IaaS underpins organizations’ agility in the face of disruption and drives innovation-led growth.
Published By: Cognizant
Published Date: Oct 23, 2018
As financial services firms embrace digital, they need business assurance strategies that extend conventional quality assurance methods to address the nuances of emerging technologies such as blockchain and advanced artificial intelligence (AI). At the same time, they also need assurance that their strategies can accommodate changes in the ever-shifting regulatory landscape wrought by
the acceleration of digital within the core of their businesses.
This white paper explores how financial firms can excel in digital by holistically addressing the quality of business processes built on disruptive technologies while assuring compliance to regulations.
Automated application quality assurance and testing are fundamental to the delivery of the service levels and managed risks that are essential to delivering business outcomes you can depend on. In this context, CA’s mainframe Application Quality Management and Testing Tools send very strong messages: the tools are being actively developed and, where appropriate, integrated with equivalent tools on the distributed platforms, to help companies deliver holistic, automated, business services.
As IT departments’ lists of backlogged application development projects keep growing, so does the speed of new development requests from line-of-business personnel. For many IT departments, the speed of business — the speed of requests for additional developments — can’t be met under current practices. This inability to keep pace with critical development requests, supporting timely strategy modifications, seriously impacts an enterprise’s profitability. The solution FICO advocates — one that accounts for budget constraints, legacy operational realities and quality assurance — is to empower line-of-business personnel as Citizen Developers, giving them the right set of technology assets to quickly, safely and cost effectively participate in application development.
HP QC isn’t relieving the complexity of testing. Learn how to extend Quality Assurance (QA) from technical testing to business process validation. Read the whitepaper to simplify and standardize your testing today.
Published By: Applause
Published Date: Jul 14, 2017
You only get once chance to make a first impression and a good impression of your product is key to keeping customers engaged and happy. Gain access to six steps that will help your organization launch an intuitive app with the support of crowdsourced usability testing in our free eBook.
DevOps (short for development and operations), like most
new approaches, is only a buzzword for many people.
Everyone talks about it, but not everyone knows what it is.
In broad terms, DevOps is an approach based on lean and agile
principles in which business owners and the development, operations,
and quality assurance departments collaborate to deliver
software in a continuous manner that enables the business to
more quickly seize market opportunities and reduce the time
to include customer feedback. Indeed, enterprise applications are
so diverse and composed of multiple technologies, databases,
end-user devices, and so on, that only a DevOps approach will be
successful when dealing with these complexities. Opinions differ
on how to use it, however.
Some people say that DevOps is for practitioners only; others say
that it revolves around the cloud. IBM takes a broad and holistic
view and sees DevOps as a business-driven software delivery
approach — an approach that takes a new or en
The discipline of data quality assurance ensures that data is "fit for purpose" in the context of existing business operations, analytics and emerging digital business scenarios. It covers much more than just technology. It includes program management, roles, organizational structures, use cases and processes (such as those for monitoring, reporting and remediating data quality issues). It is also linked to broader initiatives in the field of enterprise information management (EIM), including information governance and master data management (MDM)
Published By: Tricentis
Published Date: Mar 13, 2018
In a case of “if you can’t measure it, you can’t manage it,”
some software project failures occur because of a lack of
traceability — that is, an incomplete record of
documentation around software quality assurance efforts.
The lack of traceability has a significant impact on QA
testing effectiveness and meeting strategic goals. However,
with optimal traceability, testing becomes more efficient
and enables collaboration throughout the software
development lifecycle, as well as between product owners
and organization leaders.