Workforce management and the pursuit of productivity have formed a consistent pain point for hospitals for several years. The Affordable Care Act has only exacerbated the problem, increasing the demand on providers as the number of insured grows and the bar continues to rise on quality of care. According to a recent HealthLeaders Media Council survey, workforce productivity and acuity-based staffing will continue to be top priorities this year. Karlene Kerfoot, PhD, chief clinical integration officer at API Healthcare, says the survey results indicate a shift taking place as workforce management initiatives are expected to deliver more than reduced labor costs.
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.
Windows 10 has the potential to be a quantum leap in IT and end-user productivity. But first, IT needs to educate its teams and end users on how to use, manage and employ Windows 10 to unlock those powerful benefits.
Read this new flipbook to unlock insights into the seven game-changing features that make Windows 10 “ready for today’s mobile-cloud era” —and how IT can deliver a cloud-first unified approach to modern OS management and security.
The mobile-cloud era is here. It is not merely about delivering apps; it is about simplifying processes so you can accomplish more. The mobile-cloud era is redefining productivity by enabling workflows through the key foundations of identity and contextual experiences, mobile collaboration, united endpoint management and security, and windows apps and desktops.
Today people work primarily from mobile sources and expect a strikingly continuous experience across all their devices, regardless of which device they select to best accomplish any given task. Once access is established, organizations are looking to transform processes to mobile so they can increase efficiency and workflows for end users, thereby driving productivity to the next level.
With the advent of big data, organizations worldwide are
attempting to use data and analytics to solve problems previously
out of their reach. Many are applying big data and analytics
to create competitive advantage within their markets, often
focusing on building a thorough understanding of their
High-priority big data and analytics projects often target
customer-centric outcomes such as improving customer loyalty
or improving up-selling. In fact, an IBM Institute for Business
Value study found that nearly half of all organizations with active
big data pilots or implementations identified customer-centric
outcomes as a top objective (see Figure 1).1 However, big data
and analytics can also help companies understand how changes
to products or services will impact customers, as well as address
aspects of security and intelligence, risk and financial management,
and operational optimization.
There's an old saying in information security: "We want our network to be like an M&M, with a hard crunchy outside and a soft chewy center." For today's digital business, this perimeter-based security model is ineffective against malicious insiders and targeted attacks. Security and risk (S&R) pros must eliminate the soft chewy center and make security ubiquitous throughout the digital business ecosystem — not just at the perimeter. In 2009, we developed a new information security model, called the Zero Trust Model, which has gained widespread acceptance and adoption.
This report explains the vision and key concepts of the model. This is an update of a previously published report; Forrester reviews and updates it periodically for continued relevance and accuracy.
Product Lifecycle Management (PLM) software can help your company keep up with the increasing complexity of developing today’s high-tech products. While smaller companies may use relatively simple Product Data Management (PDM) tools, larger companies rely on full-featured PLM systems that help automate processes and share data across global supply chains. Mid-size companies can feel stuck because PDM is too basic, but PLM feels out of reach.
This resource will help you:
• Recognize why “simple” solutions fall short and do not support your capabilities
• Better connect to customers and the supply chain
• Drive higher product development speed
• Get started with the right PLM solution
Midsize manufacturers need a system that quickly delivers the core capabilities they need to streamline product development but also gives them room to grow value over time. So, what’s the right size PLM to fit a midsized high-tech company? Download this resource and take a look.
There is a significant gap between how manufacturing companies value specific aspects of their project execution and how they judge their performance. Better education in project management methodologies and standalone software tools alone will limit a company’s ability to perform at its highest level. A study by Engineering.com found that a web-based Product Lifecycle Management (PLM) solution is the best way for a company to fully achieve its best practices.
This white paper shares how a PLM solution with embedded project management can uniquely provide:
• Full alignment between projects and the product portfolio
• Coordination of a project’s schedule, resources and scope
• Automatic real-time status updates of project tasks
• Mitigation of project risks based upon real-time assessment of product development
Benefit from the unique value provided by PLM systems with embedded project management.
Obtaining a first-mover competitive advantage or faster time-to-market requires a new wave in analytics. Dassault Systèmes remains a leading innovator in Product Lifecycle Management (PLM) and has invested heavily in analytical technologies to further drive business benefits for its customers in the related areas of planning, simulation, insight and optimization.
This white paper examines the challenges peculiar to PLM and why Dassault Systèmes’ EXALEAD offers the most appropriate solution. It also clearly positions EXALEAD PLM Analytics alongside related technologies like BI, data-warehousing and Big Data solutions.
Understand and implement PLM Analytics to access actionable information, support accurate decision-making, and drive performance.
Project management relies primarily on past performance to predict future results, however many companies still lack forward-looking capabilities to predict project outcomes and ensure success. Enhancing project management with PLM analytics offers the opportunity to switch from task-based activities to performance-driven ones to improve success rates.
Use PLM Analytics to:
• Gain actionable insight and valuable intelligence
• Dramatically boost business value and improve project management performance
• Reduce error-prone behavior like manual data collection
• Leverage big-data capabilities and project intelligence
Learn how to extend the value of your PLM investment and improve business performance for your company.
There is a large gap between understanding how important project management is to a successful product launch and how effective a company may be with its actual execution. John Hayes, CEO of Engineering.com, and Jon Gable, former Strategic Planning Director for Dassault Systèmes , team up to bring you a webinar on product development and project management tools.
This webinar covers:
• Research report findings from 140 product development professionals
• Analysis of how product development issues can be addressed
• Web-based project management for product development
Gain insight into the latest thinking on project management for product development and how project management issues can impact business at the highest level.
Replacing your point of sale (POS) software can be daunting, yet most retailers recognize that innovation is important for delivering on evolving customer expectations. Selecting the right software is an investment of time and money that can pay off with increased customer loyalty, more productive employees, and simpler business management.
Epicor has been a part of successful retail businesses for years. All that industry experience has also given us insight into what not to do, like:
1. Not involving the head of the organization in the decision-making process
2. Skipping the planning phase because it “takes too much time”
3. Considering a technology partner that doesn’t truly understand your industry
4. Assuming you will do things exactly the same way you do things today
5. Selecting a vendor that lacks a long-term product vision
Read the white paper to learn more about how these mistakes can cause your organization to stumble—and how you can avoid them.
Big-box retailers often have the resources, product variety, and name recognition to get ahead of smaller competitors. However, small and midsize businesses are able to crush the big-box stores where it matters most—the customer experience.
Whether by design, geography, or as a matter of principle, small and midsize retailers are closer to their customers and are able to engage them on a level that big-box stores simply cannot. This closeness—combined with the right retail management system—allows smaller business to deliver a superior shopping experience with:
• Special orders
• Predictive inventory analysis
• Digital, mobile channels and device integration
This white paper—written by Innovative Retail Technologies and sponsored by Epicor—explains how the right software solution leads to a more agile retail strategy, which then leads to a better experience for your customers.
Midsize Aerospace and Aviation manufacturers need to choose a system that quickly delivers the core capabilities they need to streamline product development but also gives them room to grow value over time.
Product Lifecycle Management (PLM) software can help. It drives better product development performance by managing product-related data, processes and projects. While smaller companies may be able to control, access and share product data with relatively simple Product Data Management (PDM) tools, larger manufacturers rely on full featured PLM systems that help automate processes and share data across global Aerospace and Aviation companies.
Aerospace and Defense companies delivering complex products in competitive markets must overcome many challenges to manage requirements throughout the product lifecycle. Among the most difficult challenges are integrating complex systems engineering processes, promoting collaboration among multiple engineering disciplines and enabling the sharing of intellectual property within globally dispersed teams.
Companies seeking a way to efficiently manage product requirements can leverage a comprehensive product lifecycle management (PLM) solution to:
• Effectively reuse intellectual property to reduce time to market
• Increase product innovation
• Improve overall traceability of requirements throughout the product lifecycle
This paper will highlight the criteria needed for a comprehensive requirements management solution that incorporates PLM to offer customers a scalable, enterprise-grade solution.
A recent study by Engineering.com indicated there is a significant gap between how Industrial Equipment Manufacturing companies value specific aspects of their project execution and how they judge their performance. In order to address the challenging aspects of product development projects, it was determined that projects with a web-based Product Lifecycle Management (PLM) solution will perform higher.
Learn how PLM solutions with embedded project management can uniquely provide the following operational best practices:
• Full alignment between projects and the product portfolio in order to leverage common technology platforms and launch products to market faster
• Coordination of a project’s schedule and resources, with its scope as defined by requirements and development constraints, in order to meet market expectations
• Automatic project task updates as development work is completed to provide a real-time understanding of project status and progress
Industrial Equipment Manufacturers have to connect closely with customers and introduce new products quickly and efficiently to meet their needs. While smaller Industrial Equipment Manufacturers may be able to control, access, and share product data with relatively simple Product Data Management (PDM) tools, larger Industrial Equipment Manufacturers rely on full-featured PLM systems that help automate processes and share data across global supply chains.
Industrial Equipment Manufacturer companies may find themselves in-between because:
• Product and organizational complexity drive them beyond basic PDM capabilities
• A full-featured PLM implementation may feel out of reach
They need to choose a system that quickly delivers the core capabilities they need to streamline product development but also gives them room to grow value over time. What’s the right size PLM to fit an Industrial Equipment Manufacturer? Let’s take a look.
Employees and managers face challenges and pressures each day that make work unnecessarily complex and unproductive. This complexity can stand in the way of achieving business goals and prevent employees from delivering the value they want to bring to the workplace.
This Coleman Parkes and Workforce Institute at Kronos report highlights key findings and discusses the roles leadership, technology, and talent management play in optimizing workforce engagement for sustained competitive advantage. Learn about the challenges, opportunities, and costs of employee engagement — or lack thereof — in organizations today, and how small changes can go a long way toward engaging employees and ultimately drive business success.
Improved business productivity often requires more efficient IT and more efficient IT cannot be achieved without a better understanding of the way business services are run and delivered. Configuration Management Databases (CMDBs) have emerged as a central component for Information Technology Infrastructure Library (ITIL) and business service management (BSM).
Published By: Zynapse
Published Date: Sep 10, 2010
UNSPSC enables preference item management, better spend analysis, supply standardization and information control.
Whether you are deliberating on the need for a common product and classification standard for your company, or are an advanced UNSPSC adopter, we hope that "Adopting UNSPSC" will answer some of your questions and perhaps help you in some way to improve your purchasing and supply management processes.
Published By: HPE Intel
Published Date: Jan 11, 2016
While flash storage can enhance the performance of your applications, there are three potential roadblocks to realizing the full value from a flash investment:
• Storage network capacity
• Storage architecture
Vish Mulchand is Senior Director of Product Management and Marketing for Storage, Hewlett Packard Enterprise.
IT complexity leads to wasted effort, time, or expense. Drive up productivity with HP ProLiant Gen9 servers for small and midsize businesses to simplify your infrastructure, resulting in better performance and scalability with easier management.