All phases of an EHR migration require planning and an understanding of what data is needed to provide a complete EHR that supports clinical adoption, patient care, safety and satisfaction. This white paper examines the strategic considerations and challenges encountered when migrating data to a new system.
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.
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.
Published By: McKesson
Published Date: May 27, 2015
The shift to value-based care creates a sharp increase in healthcare organizations and networks’ need for data collection, aggregation and analysis. This white paper outlines the challenges involved with performing population-level analyses, developing cost accounting and profitability analyses across care settings, evaluating care episodes and integrating quality data. It explores the limitations of targeted software solutions to provide cross-enterprise insights. Finally, it provides advice for healthcare executives regarding how to approach gathering quality and cost-related data and how to leverage technology and analytical expertise to drive risk-based contract success.
Published By: Gigamon
Published Date: Sep 03, 2019
This white paper will examine the security issues introduced by
more data over faster networks, how an architectural approach can
solve those challenges and introduces the GigaSECURE® Security
Delivery Platform, the leading next-generation network packet
broker purpose-built for security tools to work more efficiently
across physical, virtual and cloud environments. In fact, IHS Markit1
has named Gigamon the market leader and the best-known vendor
in the space with #1 market share in multiple industries – 36%
overall and 59% in the government sector.
Published By: Gigamon
Published Date: Sep 03, 2019
Dataflow is increasing at a rate unseen in history. Network managers are tasked with enabling massive quantities of
new data in a secure and highly available fashion, all while facilitating access to new types of form factors and data
stores. This challenge is often met with layers of networking
hardware and tools resulting in a complex mess, or even worse, a
culture of network protectionism that inhibits business innovation.
Published By: Experian
Published Date: Aug 29, 2019
Card-not-present fraud is estimated to reach $19.3 billion by 2022. Online payment fraud will grow 13.7% from 2017-2022 – Juniper
Dive deeper into these data points with a focus on assessing the impact, challenges and opportunities presented by emerging payment mechanisms and regulation, as well as an in-depth assessment of sector-specific trends and outlook in regard to digital fraud. It provides essential reading for those wishing to understand where the key strategic focus should lie and how market forces are affecting the industry.
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
"It’s no secret that the way people work has changed dramatically over the past few years. As highly distributed environments become the norm, security teams are scrambling to protect users, the growing number of device types they carry, and their data.
With more users, devices, and applications connecting to the network, the number of risks and vulnerabilities is also increasing — triggering a total transformation in the security landscape.
In this research readout, we explore the complex factors that make remote and roaming user security a challenge, and the emerging solutions best positioned to meet the needs of today’s increasingly distributed enterprise.Explore the complex factors that make remote and roaming user security a challenge, and the emerging solutions best positioned to meet the needs of today’s increasingly distributed enterprise.
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.
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.
Digital technology is redefining possibilities in Energy, Environment and Utilities. Disruptive forces, emerging consequences, pressing challenges, and provocative opportunities. Learn how industries benefited from your data. Learn how IBM E&U describes disruptions manifested in Energy, Environment and Utilities. IBM identifies three ways your company focus can to stay ahead of the competition in pressing challenges. Additionally, identifying three provocative opportunity actions that are needed to get going.
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.
Databases represent the backbone of most organizations. And Oracle databases in particular have become the mainstream data repository for most mission-critical environments. Some of the largest companies and organizations in the world rely on Oracle databases to store their most important data. The biggest challenge organizations face relative to an Oracle database is to maintain these databases at optimum performance and reliability without breaking the bank. This paper discusses the storage capabilities customers should consider when choosing storage to support an Oracle database environment.
Our survey of business leaders reveals enormous challenges regarding mushrooming data flow and their various duties towards it, with fewer than half reporting themselves as coping.
In this report we look at how Finance teams feel overwhelmed by data and are struggling to extract its true value.
To learn more about these challenges and some potential solutions download this report today.
Published By: Dell EMC
Published Date: Aug 01, 2019
Disaster recovery and long-term retention of data can be very challenging for organizations of any size, especially small to mid-sized companies. Cloud can provide efficiencies such as scale, agility, and initial lower storage costs, but organizations face significant challenges when expanding their data protection environments to the cloud. Dell EMC recognizes the use of cloud as a backup destination that is only going to increase in the future and as such they have architected modern IT solutions for small and mid-sized organizations that require powerful, easy to manage and to deploy data protection solutions with the introduction of the Dell EMC DP4400. To learn more, download this report from Dell and Intel®
Organizations are charging ahead with investments in cloud and analytics to deliver agility, scalability and cost savings. With computing power advancements and continuous growth of data, cloud provides the elastic workloads and flexibility required for modern business. However, the environment of flexibility and choice that cloud provides also creates complexity and challenges.
In this white paper, learn how organizations are applying expertise and using the latest methods to move analytics to the cloud, including:
• Why are organizations moving analytic work to the cloud?
• What are the key challenges and misconceptions?
• How do IT leaders provide choice while maintaining control?
TIBCO Data Virtualization is a proven approach used by four of the top five integrated energy companies to deliver more analytic data sooner from across upstream and downstream operations. Specific use cases described include: •? Offshore Platform Data Analytics •? Well Maintenance and Repair •? Cross Refinery Web Data Services •? SAP Master Data Quality If you are an energy company facing similar data and analytic challenges, consider TIBCO Data Virtualization.
Published By: Infosys
Published Date: Sep 12, 2019
Digital-born companies have challenged large long-established businesses across industries with newer data, AI-powered experiences, products/services. Sustained competitive advantage through customer ownership and seller power has since been significantly challenged and overturned. Customers are taking to newer AI and data-powered products/services in their pursuit of better experiences and exponentially higher value. This has triggered every company to challenge status-quo, unleash themselves from very structure of industry and embrace transformation in the new world.
Data and AI have shaped themselves into a major economic force that is at the epicenter of transformation of every industry; through 3 horizons. Data, in the first horizon, was the key ingredient in driving more data-driven decisions. Data, in the second horizon, is playing a transformational role in the enterprises' pursuit of being Data Native Digital Native enterprise.
Published By: MuleSoft
Published Date: Jun 27, 2019
As the leading CRM system, Salesforce can accelerate and increase sales, enhance customer loyalty, and grow marketing capabilities. But how can businesses extend Salesforce to streamline business processes and maximize services and solutions?
Effective and efficient integration of Salesforce with adjacent enterprise systems — such as databases, ERP and CRM systems, and custom applications — is critical to enabling sales teams, increasing revenue, and better serving customers. Across the broad spectrum of Salesforce integration needs, patterns emerge for how to best address integration challenges. Integration patterns are the most logical sequence of steps to solving a specific type of integration problem.
Learn how to synchronize CRM systems, migrate from legacy CRM systems, broadcast ERP data into your CRM system, and more. Download the whitepaper now.
For financial business leaders and other c-level executives, moving away from unclear or ambiguous “improvements” to quantifiable measurements is crucial to the overall organization. Hard, meaningful data substantiates the execution of strategic, long-term business decisions. As technology is rapidly changing, executives can be challenged to find the right systems that drive business performance, provide competitive advantages, and increase the bottom line.
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!!
11 ways to identify the best supplier verification partner for your organization
Most of us know that operating a thorough and sustainable supplier qualification program is critical to reducing risk. But how many can say they feel confident in their process? From the ongoing collection and verification of data, to the oft-required cooperation between departments; building and maintaining a great program can be challenging.
Avetta suggests there are 11 requirements of a world-class supplier qualification program. See how your organization measures up when you download the Ultimate Supplier Qualification Guide.
Published By: Dell APAC
Published Date: May 30, 2019
When it comes to effectively and efficiently protecting growing volumes of data, midsized organizations face unique
challenges. That is because they live in a world of constraints that are both operational and budgetary in nature. Cloud
disaster recovery offers new options for these organizations—they can optimize their data protection economics by
integrating on-premises protection solutions with cloud-based backup and recovery methods. Dell EMC’s cloud-ready
solutions, particularly its Integrated Data Protection Appliances with native cloud extension capabilities, along with its Data
Protection Software working in conjunction with its Data Domain backup storage appliances, provide cloud disaster
recovery with flexible features. These solutions enhance operational efficiency and provide midsized organizations with
clear economic and operational benefits.