The need for analytic tools to make sense of disparate data sources will certainly be expanding in the upcoming years. This report highlights what analytical data healthcare leaders are currently focusing on, as well as the challenges they expect to face when using analytics to support their organizations in the future.
Even as the move to electronic health records (EHR) progresses in earnest, there are a myriad of challenges involving legacy data systems. Chief among these challenges is the cost of maintaining obsolete systems solely for the patient information they contain. When up to 70% of a typical IT budget is spent on maintaining the current IT infrastructure and application portfolio, organizations have little left to invest in much-needed innovation. According to a recent HealthLeaders Media Survey, many organizations are still adjusting after their migration to a new EHR system. Hospitals need to get a better grasp on all forms and sources of data that they have—and the data they don’t yet have—so that the right information can be delivered to the right individual, and in the right context, at the point of care.
Electronic health record (EHR) system implementation is one of the largest IT investments most healthcare systems have ever made but it’s success is largely dependent upon the data which feeds it. One the main data sources for the EHR is the item master, which drives not only supply chain processes but also a broad range of clinical and financial functions. Only with a clean, accurate and complete item master can a healthcare organization trust the outputs generated from its EHRs – from evaluating the clinical effectiveness of products to securing reimbursements. Learn how to execute a master data management strategy to derive the greatest value from your EHR investment.
Published By: McKesson
Published Date: Apr 30, 2015
Building a data-driven organization takes more than technology. And, healthcare leaders can all agree that issues facing today’s industry are daunting; determining how to react in a way that matches your organization’s strengths and vulnerabilities may be even more challenging. With the right resources in place, you can take pragmatic steps to reduce data silos and deliver efficient, coordinated care across all your settings.
Learn about the HPE Intelligent Data Platform and the new IT realities it addresses. With digital transformation underway in many organizations, more dynamic business models are becoming the key to success. This means infrastructure modernization and the introduction of technologies such as solid state storage, artificial intelligence and machine learning, software-defined infrastructure, and the cloud. At the same time, it means IT infrastructure management becomes much more complex. Enter HPE’s Intelligent Data Platform. With comprehensive coverage and AI/ML-driven real-time optimization that enables intelligent management of the entire data life cycle, the HPE Intelligent Data Platform enables an organization to get the most out of its IT resources while also meeting its evolving needs over time.
Getting complex decisions right across complicated operational networks is the key to optimum performance. Find out how one of the UK’s biggest bus operators is using data and analytics to make better decisions and optimise the use of resources across their network.
Read this story to discover:
• how data and analytics can transform operational performance
• the benefits of using decision-support tools in the middle office
• key lessons for getting your plans for digital transformation right.
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.
"Workday provides financial services organizations with the technology foundation they need to spend less time gathering data and more time creating real value.
But don’t just take our word for it. Hear from our customers in the banking industry that have used Workday to:
Make better business decisions
Uncover new sources for growth
Become a magnet for top talent
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.
Published By: Datastax
Published Date: Sep 27, 2019
Smartphones, smart cities, smart homes, smart cars—IoT has triggered a data explosion, and not every enterprise is prepared to handle it.
Beyond collecting and analyzing the increasing volume of data, organizations must figure out how to manage the velocity of that data, as well as how to integrate it with multiple data sources. And that’s just scratching the surface of the IoT challenge. To extract business value out of this inpouring of data, and to take full advantage of IoT boosted by new 5G technology, IT organizations must consider five key technologies.
In this ebook, you’ll learn about these five technologies and their benefits. To continue to develop and scale your IoT-driven applications, your infrastructure needs to be able to handle sensor data at velocity, keep data close to the edge, maintain 100% uptime, and make it easy to extract business value. The insights you’ll discover in this ebook will not only help you prepare your organization for this reality; they’ll also
Published By: Datastax
Published Date: Sep 27, 2019
Every holiday season sets new records for database traffic, and old-guard database architectures simply aren't up to the task. In this white paper, you'll learn how to ensure your enterprise thrives under the year-end pressure—without wasting resources by overprovisioning.
Published By: Datastax
Published Date: Sep 27, 2019
Consumers have extraordinarily high expectations of the online user experience, and stakes are at their highest around the holidays. Database infrastructure plays a huge role in holiday success (or failure!).
In this eBook, you'll learn ways to evolve your infrastructure to break through five holiday database roadblocks—by reducing stack complexity, improving uptime and elasticity, and smartly managing open source databases.
Published By: IBM APAC
Published Date: Sep 30, 2019
Companies that are undergoing a technology-enabled business strategy such as digital transformation urgently need modern infrastructure solutions. The solutions should be capable of supporting extreme performance and scalability, uncompromised data-serving capabilities and pervasive security and encryption.
According to IDC, IBM’s LinuxONE combines the advantages of both commercial (IBM Z) and opensource (Linux)systems with security capabilities unmatched by any other offering and scalability for systems-of-record workloads. The report also adds LinuxONE will be a good fit for enterprises as well as managed and cloud service provider firms.
Read more about the benefits of LinuxONE in this IDC Whitepaper.
We do business in the age of information. The amount of data, the number of sources, the uses for data, and the routes that it travels have all been growing at an exponential rate. The importance of managing, securing, sharing and measuring information is the core of Information Governance. IG enables organizations to extract the value of information to make better business decisions, but how to go about the massive task is harder to grasp.
The European Union’s new regulatory framework for data protection laws, the General Data Protection Regulation (GDPR), became enforceable on 25 May, 2018. Under GDPR, organisations have new obligations to improve the security and privacy practices for the personal data they collect and use. With these new obligations comes the potential for heavier fines and penalties. Fortunately, Amazon Web Services (AWS) can help guide your organisation toward compliance under the new requirements. Take advantage of our services, resources, and experts as you navigate these changes.
Government agencies often look to promote new technology for cost-savings and efficiency, but it does not stop there. The second and third-tier effects of technology can be long lasting for citizens, businesses, and economies. When public institutions adopt the cloud, they experience an internal transformation. Inside an organization, cloud usage drives greater accessibility of data and information sharing, increases worker productivity, and improves resource allocation. The external benefit of the cloud is recognized through a government’s ability to put reclaimed time and resources toward serving citizens. This includes provisioning public services, such as occupational-skills training, quicker and more effective service delivery, a pathway to a more productive workforce, and ultimately, a boost to local development. This whitepaper examines the enterprise-level benefits of the cloud, as well as the residual impact on economic development. The U.S. Economic Development Administration
Innovation requires many ingredients: a great idea, creativity, persistence, the right data, and technology. Governments around the world are taking advantage of the cloud to reduce cost and transform the way they deliver on their mission. The expectations of an increasingly digital citizenry are high, yet all levels of government face budgetary and human resource constraints. Cloud computing (on-demand delivery of IT resources via the Internet with pay-as-you-go pricing) can help government organizations increase innovation, agility, and resiliency, all while reducing costs. This whitepaper provides guidelines that governments can use to break down innovation barriers and achieve a digital transformation that helps them engage and serve citizens.
Today, when you make decisions about information technology (IT) security priorities, you must often strike a careful balance between business risk, impact, and likelihood of incidents, and the costs of prevention or cleanup. Historically, the most well-understood variable in this equation was the methods that hackers used to disrupt or invade the system.
The Business Case for Data Protection, conducted by Ponemon Institute and sponsored by Ounce Labs, is the first study to determine what senior executives think about the value proposition of corporate data protection efforts within their organizations. In times of shrinking budgets, it is important for those individuals charged with managing a data protection program to understand how key decision makers in organizations perceive the importance of safeguarding sensitive and confidential information.
To achieve personalization at scale, brands need to develop a better understanding of each customer they interact with, and that’s all about combining all the data they collect from every available source into a single cohesive customer view. There is no way they can handle this task or manage all this data manually, which is why data management platforms (DMPs) rose to prominence. Today, companies are looking to build on this single customer view with a real-time understanding of their audience across every digital channel, marking the next phase on the maturity ramp for DMPs.
Across every industry, many of the world's best and fastest-growing brands are using Adobe Experience Manager to deliver personalised content accurately and on time.
Why should the target audience care?
86% of buyers will pay more for a better customer experience. What’s more, customer experience will overtake price and product as the key brand differentiator among consumers by 2020.
With Adobe Experience Manager, high levels of customer experience personalization, workflow efficiency, and data analysis are no longer cost- and resource-prohibitive dreams for only the biggest players. Brands featured include Silicon Labs, Morningstar, Swisscom, Raiffeisen, Hyatt, Nissan, Sony, SAS, Informatica, Jefferson Health.
Effective workload automation that provides complete management level visibility into real-time events impacting the delivery of IT services is needed by the data center more than ever before. The traditional job scheduling approach, with an uncoordinated set of tools that often requires reactive manual intervention to minimize service disruptions, is failing more than ever due to todays complex world of IT with its multiple platforms, applications and virtualized resources.
Published By: StrongMail
Published Date: Jun 08, 2008
The growing trend towards insourcing marketing and transactional email is being driven by businesses that are looking for ways to improve their email programs, increase data security and lower costs. When evaluating whether it makes more sense to leverage an on-premise or outsourced solution, it's important to understand how the traditional arguments have changed.
Nearly all cyberattacks must cross the network, but security analysts often struggle to make quick sense of traffic at scale for hunting and incident response, trapped between data-starved logs (e.g. Netflow) and too much data (full packets) to analyze in time. What if instead there was a “Goldilocks’ for network data?
This free 1-hour webinar from GigaOm Research brings together experts in network traffic analysis, featuring GigaOm analyst Simon Gibson and a special guest from Corelight, Steve Smoot. They’ll discuss the evolution of network analysis and explain how open-source Zeek (formerly Bro) came to be the network traffic analysis tool of choice for security analysts to make fast sense of their traffic.
We’ll dive into Zeek’s creation at Livermore Labs and discusses some of the challenges that come with using it in large, fast network environments and explain how Corelight enables organizations to quickly take advantage of the power of Zeek at scale. In this 1-hour webinar, you