According to Gartner, "supply chain leaders responsible for quality management are shifting to software solutions that standardize processes, optimize data and ensure compliance. This research provides guidance for structuring a process for QMS software selection."
Download this Gartner Analyst Guide to learn:
Key challenges in the QMS software selection processes
What to expect from different QMS solutions across the market
Analysis of the current state of quality management to help define software requirements
Self assessment questions and commonly sought QMS system functionalities to use in your decision making process
Most benefits professionals agree: access to data is the key to a solid benefits strategy. But there are some hurdles in your way to finding and implementing a data solution. In this guide, we’ll show you how to overcome some of the challenges commonly faced by benefits teams:
• Prioritizing data amongst other initiatives and finding the time for analysis
• Ensuring data quality and security, and working with internal teams to get buy-in
• Justifying the cost and learning how to educate others on the value of data
With the combination of electronic health records, rich repositories of claims data, medical device outputs, laboratory and prescription systems, real-world data and the data mined from other information technology systems, the health and life sciences ecosystem can now gain new perspective.
Download this complimentary paper to learn more about how health care data has the power to transform the sector, helping to address the industry’s biggest challenges surrounding costs and quality of patient care.
By adopting solutions that allow them to both produce and consume data analytics insights in a way that better guides clinical and business strategies, innovative health care organizations can learn not only to survive but also thrive in the decades to come.
Published By: Zynapse
Published Date: Jun 16, 2010
Data Governance has emerged as the point of convergence for people, technology and process in order to manage the crucial data (information) of an enterprise. This is a vital link in the overall ongoing data management process for it maintains the quality of data and makes it available to a wide range of decision making hierarchy across an organization
Artificial Intelligence (AI) has already begun to improve targeting, segmentation, media buying and planning in the advertising industry. AI algorithms can extract complex patterns from vast numbers of data points, and in so doing, are able to self-correct and learn patterns. The revenue potential that improved personalization, segmentation and targeting that AI provides to marketers is huge.
At HERE Technologies, we are placing AI and machine learning at the center of our products and services. We see the opportunity in automated machine learning to enrich the targeting and effectiveness of mobile advertising campaigns in real time. But the outcome of implementing such technology depends on the quality of data being fed into it from the outset. AI wouldn’t be as helpful if it’s being used alongside questionable location data or audience data.
HERE’s location data provides a strong thread that can be woven throughout every stage of the media buying process, offering more context and
Get higher quality, more accurate location data – and a safer, more profitable fleet – by choosing the right location services provider. The true value of a location platform comes from bringing together multiple data sources and presenting them in a meaningful way. Using a platform approach, you can help customers differentiate their service, increase margins and increase safety. So, in this guide, we cover the four key considerations for choosing a mapping and location service platform to ensure a high quality, accurate mapping service for you and your customers.
Download the eBook
Executives, managers and information workers have all come to respect the role that data management plays in the success of their organizations. But organizations don’t always do a good job of communicating and encouraging better ways of managing information. In this e-book you will find easy to digest resources on the value and importance of data preparation, data governance, data integration, data quality, data federation, streaming data, and master data management.
Lenovo Health’s patient engagement, care delivery and diagnostic solutions — supported by a powerful data center and comprehensive services — help deliver higher-quality care and achieve better outcomes by empowering you to:
• Optimize patient engagement
• Streamline clinician workflows
• Improve diagnostic speed and accuracy
View this diagram to learn more.
Today, digital security is top-of-mind. From the boardroom to the backroom, everyone is asking the same questions, “How do we protect our digital experiences? How do we ensure our website is safe for our visitors? How do we make sure that no one can steal our content?” But safeguarding a digital experience isn’t a one-size-fits-all solution. It often involves multiple techniques and layers of security.
From verifying your identity (with HTTPS) to encrypting sensitive data to restricting access and protecting multimedia content, you must approach security in a layered manner, employing multiple means and techniques to protect the digital content through which your audience interacts.
This paper explores ten different methods and technologies that an organization can employ to protect its content. This multi-layered approach can effectively protect your digital content, ensure high availability, and maintain superior quality of experience for every digital visitor.
Published By: Delphix
Published Date: May 03, 2016
Looking to streamline processes across development, test, and operations teams with more efficient Test Data Management (TDM)? Don't let antiquated technology and complex processes stand in the way of fast access to high-quality test data.
Next-generation TDM transforms how businesses deploy testing environments and the way teams work within them, providing both greater flexibility and increased efficiency.
By processing real-time data from machine sensors using arti?cial 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.
There are some surprisingly straightforward reasons behind the glitches, delays, and cost-overruns that can bedevil data warehouse initiatives. ...The first is simply confusing expectations with requirements. But four other troublemakers can also lead to big problems for developers, IT departments, and organizations seeking to maximize the business value of information.
Online video’s explosive growth has created tremendous new opportunities for engaging
customers and developing new revenue streams. But despite the fact that video is becoming
increasingly central to many online business strategies, many publishers still lack the tools and
data to understand what factors are important in keeping their audiences engaged.
In this whitepaper, we present data from the first ever large-scale scientific study that shows how
video performance quality affects viewer behavior. The results help to shed light on important
considerations that can help businesses craft a successful online video strategy – boosting their
business bottom line and ultimately reaping the rewards of online video’s vast potential.
Complexity, globalization and digitalization are just some of the elements at play in the risk landscape—and data is becoming a core part of understanding and navigating risk.
How do modern finance leaders view, navigate and manage enterprise risk with data? Dun & Bradstreet surveyed global finance leaders across industries and business types. Here are the top trends that emerged from the study:
1. The Enterprise Risk & Strategy Disconnect—Finance leaders are using data and managing risk programs, but over 65% of finance leaders say there’s missing link between risk and strategy.
2. The Risks of the Use and Misuse of Data—Up to 50% of the data used to manage modern risk is disconnected. Only 15% of leaders are confident about the quality of their data.
3. Risky Relationships—Only 20% of finance leaders say the data they use to manage risk is fully integrated and shared.
Download the study to learn how finance leaders are approaching data and enterprise risk management
Published By: ServiceNow
Published Date: Oct 18, 2013
Certifying the accuracy of a CMDB with inconsistent, manual methods is unreliable. ServiceNow's built-in data certification gives you the ability to automate the process. Learn how data certification works with the ServiceNow CMDB to deliver a trustworthy single system of record you can rely on.
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.