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.
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.
This paper provides an overview of the changing dynamics in the business world that demand a new approach to IT infrastructure. It provides a perspective for business managers and executives who are looking for a way to align business and IT by facing the challenges of disruption for better business outcomes.
We will discuss the Kinetic Infrastructure from Dell EMC powered by Intel® Xeon® Platinum processor, which is designed to support IT flexibility and business agility. In addition, we will describe the first implementation of kinetic infrastructure on the Dell EMC PowerEdge MX system. The paper will explain how Dell EMC is helping businesses to rethink their data center architecture and accelerate their path towards more agility.
"From APIs to employee-owned smartphones, there are more access points to corporate data than ever before. Have businesses updated their security strategies to reflect this explosion of new targets for potential breaches? In June 2017, Google commissioned Forrester Consulting to examine how security experts think about endpoint security and learn how the cloud is helping businesses address new vulnerabilities.
Download the Forrester report and find out more."
There are five ways to provision test data. You can copy or take a snapshot of your production database or databases. You can provision data manually or via a spreadsheet. You can derive virtual copies of your production database(s).
You can generate subsets of your production database(s). And you can generate synthetic data that is representative of your production data but is not actually real. Of course, the first four examples assume that the data you need for testing purposes is available to you from your production databases.
If this is not the case, then only manual or synthetic data provision is a viable option.
Download this whitepaper to find out more about how CA Technologies can help your business and its Test Data problems.
Suddenly, the network is cool again. Tech trends such as the Internet of Things, software-defined networking and growing end-user expectations all add up to a demand for “dialtone” network performance and reliability. But as the data deluge continues to accelerate, and as organizations continue to rely on multiple clouds to achieve business goals, how can the network keep up, much less meet tomorrow’s demands?
This e-book looks at the trends that are impacting the enterprise network—the modern network—the issues it creates for NetOps professionals, and how organizations can act today to plan for tomorrow.
The Summer 2018 security report is about change: what’s new and unusual in DDoS attacks, where are the surprising data patterns, and how should enterprises and security professionals prepare for the unexpected. Looking back at November 2017 to April 2018, as well as year-over-year changes, Akamai analysts identified data trends that spotlight the new and unfamiliar. The Summer 2018 State of the Internet / Security: Web Attacks report covers atypical attack methods, credential abuse attacks and law enforcement prosecution of DDoS-for-hire platforms. Guest writer Rik Ferguson also explores future threat scenarios.
Finally, the Integrate SID for your records (and in case you need it) for this program is: 0E9175.
Anything else you need to hit the ground running with this program?
There are so many opportunities for businesses to collect data that getting a clear picture of all of it can be an uphill battle—and leveraging it for insight can be nearly impossible. But whether you are a start-up or a multinational conglomerate, not taking advantage of the available data is a mistake you cannot risk making. According to a 2016 McKinsey & Company study, over the past three years, digital leaders have achieved revenue growth five times greater, an operating margin profit eight times greater, and a return to shareholder value two times higher than laggards.
Companies today need a closed loop system that combines data, insight, and action. Download this paper to learn about the goals of a system of insight (SOI), the common set of technologies that all systems of insight need, and how an SOI can make a difference in your business.
TIBCO Spotfire is the premier data discovery and analytics platform, which provides powerful capabilities for our customers, such as dimension-free data exploration through interactive visualizations, and data mashup to quickly combine disparate data to gain insights masked by data silos or aggregations.
According to Forrester Research, "Enterprise data virtualization has become critical to every organization in overcoming growing data challenges," with faster access to connected data, self-service, and agility among the many benefits seen.
In this report, Forrester analyzes past research and Forrester Wave reports, user need assessments, and vendor and expert interviews to evaluate the offerings of top vendors in enterprise data virtualization. In compiling the vendor rankings, the report reviews the current offering, strategy, and market presence for the 13 most significant vendors.
They discuss where TIBCO ranks in the evaluation and positions TIBCO Data Virtualization as a leader in enterprise data virtualization
Read The Forrester Wave™: Enterprise Data Virtualization, Q4 2017 report to learn more.
Expanding analytic capabilities are critical to digitizing the business, optimizing costs, accelerating innovation, and surviving digital disruption
Historically, manufacturers were almost solely focused on reducing costs by applying automation and analytics to engineering, R&D, manufacturing operations, and quality organizations. Even though the strategies used within these areas are still needed, they are not sufficient to ensure business survival and continuity in the age of Industry 4.0 and the IoT.
Today, it is paramount that smart manufacturers broaden their scope because disruptive innovations in data acquisition, storage, and analytics technology have enabled an entirely new degree of automation and virtualization, promising a complete 360-degree high-fidelity virtual data-driven integrated views of all operations—from suppliers and supply chains, through equipment, processes, and manufacturing practices, to final product testing and customer satisfaction.
Download this paper
Published By: Lookout
Published Date: Mar 28, 2018
The time has come for enterprise risk management to change. Mobile devices have become core to our personal and professional lives, yet most enterprises remain focused on traditional PC endpoints.
Although many of the same elements of risk that affect PCs also apply to mobile endpoints, simply extending current PC security controls to your mobile feet is ineffective.
Enterprise risk management needs to evolve to address mobile risks, and security professionals must architect mobile specifc security. To encourage this evolution, Lookout developed the Mobile Risk Matrix. Its purpose is to help security organizations understand the spectrum of risk on mobile devices and to provide data that demonstrates the prevalence of mobile risk.
Published By: Lookout
Published Date: Mar 28, 2018
Mobile devices have rapidly become ground zero for a wide spectrum of risk that includes malicious targeted attacks on devices and network connections, a range of malware families, non-compliant apps that leak data, and vulnerabilities in device operating systems or apps.
Read the four mobile security insights CISOs must know to prepare for a strategic conversation with the CEO and board about reducing mobile risks and the business value associated with fast remediation of mobile security incidents.
Complete enterprise security requires coordination. Firms must integrate the technologies and data that come from the endpoint and network
layers to make accurate decisions that ensure optimal threat detection, containment, and remediation. Unfortunately, too many firms rely on a
huge variety of solutions that require manual integration and correlation, leading to wasted time and poor threat detection. Security leaders
must automate these processes to eliminate detection lag and improve prevention efforts.
This spotlight report examines:
• How Manufacturing Operations Management (MOM) or Manufacturing Execution Systems (MES) are key enablers of data management and Digital Transformation. Companies can combine many other opportunities with manufacturing operations in a digital journey.
• Product lifecycle management (PLM) as a high-value discipline to pair with MOM in discrete manufacturing, and the value of digital continuity across engineering, manufacturing operations, and supply chain.
• A robust integration of MOM and PLM technologies and the advent of the Digital Twin (a virtual copy of the product and how it's made) to demonstrate maturity in Smart Manufacturing and the ability to make smart products in smart factories.
The IIoT has opened up a world of opportunity for manufacturers. Take advantage of it.
The cost of labor can be managed effectively when restaurateurs are equipped with the right training, tools and processes. Traditional methods for capturing critical forecasting data and formulating labor plans & budgets are incomplete and often inaccurate, rarely accounting for menu pricing changes or current economic conditions.
Even when the best practices of forecasting are employed, the information isn’t always available to the store managers who are attempting to manage the cost of labor. This ebook will walk you through the ins and outs of labor forecasting and best practices to build efficiency, grow revenue, and positively impact your restaurant’s bottom line.
Published By: Datastax
Published Date: Aug 27, 2018
"Part of the “new normal” where data and cloud applications are concerned is the ability to handle multiple types of data models that exist in the application and persist each in a single datastore. This data management capability is called a “multi-model” database.
Download this free white paper and explore the multi-model concept, its rationale, and how DataStax Enterprise (DSE) is the only database that can help accelerate building and powering distributed, responsive and intelligent cloud applications across multiple data models"
Businesses are struggling with numerous variables to determine what their stance should be
regarding artificial intelligence (AI) applications that deliver new insights using deep learning.
The business opportunities are exceptionally promising. Not acting could potentially be a
business disaster as competitors gain a wealth of previously unavailable data to grow their
customer base. Most organizations are aware of the challenge, and their lines of business
(LOBs), IT staff, data scientists, and developers are working to define an AI strategy.
IDC believes that this emerging environment is to date still highly undefined, even as
businesses must make critical decisions. Should businesses develop in-house or use VARs,
systems integrators, or consultants? Should they deploy on-premise, in the cloud, or in some
hybrid form? Can they use existing infrastructure, or do AI applications and deep learning
require new servers with new capabilities? We believe that many of these questions can be
Digital transformation is not a buzzword. IT has moved from the back office to the front office in nearly
every aspect of business operations, driven by what IDC calls the 3rd Platform of compute with mobile,
social business, cloud, and big data analytics as the pillars. In this new environment, business leaders
are facing the challenge of lifting their organization to new levels of competitive capability, that of
digital transformation — leveraging digital technologies together with organizational, operational, and
business model innovation to develop new growth strategies. One such challenge is helping the
business efficiently reap value from big data and avoid being taken out by a competitor or disruptor
that figures out new opportunities from big data analytics before the business does.
From an IT perspective, there is a fairly straightforward sequence of applications that businesses can
adopt over time that will help put direction into this journey. IDC outlines this sequence to e
For 20 years running, SAS has landed a coveted spot on Fortune’s 100 Best Companies to Work For list. Our HR department plays a critical role in keeping current employees engaged and productive as well as anticipating and preparing for future workforce needs. How? One reason is our use of data and analytics to drive HR decision making. It would be easy to assume other companies see the value of analytics; however, a Deloitte survey found 75 percent of HR leaders rate analytics as a priority, yet only 8 percent say their HR organization has a strong analytics capability.
I had the pleasure of meeting David Harcourt, Associate Manager of Employee Insights at Yum! Brands when he spoke at the Analytics Experience 2016 conference in Las Vegas. His session, “HR Analytics from Scratch: 8 Lessons Learned in the First Year,” provided valuable insight into what it takes to build HR analytic competency from scratch. His mission is to share with others what he wishes he’d known when he started bui
Compliance doesn’t have to be a scary word, even when facing the multifaceted challenges of the European Union’s General Data Protection Regulation. In fact, following through with plans for sustainable GDPR compliance can have many long-term benefits for your organization. That's because relying on data-driven decisions across the board sets you on track to gain a competitive edge.
In February 2018, SAS conducted a survey with 183 global, cross-industry businesspeople involved with GDPR at their organizations. Based on the survey results, this e-book delves into the biggest challenges and opportunities organizations have faced on the road to GDPR compliance.
Read on for advice from industry experts about the best path to compliance. Learn what steps your peers across a variety of industries have already taken and discover how an integrated approach from SAS can continue to guide your journey toward GDPR compliance.
This paper provides an introduction to deep learning, its applications and how SAS supports the creation of deep learning models. It is geared toward a data scientist and includes a step-by-step overview of how to build a deep learning model using deep learning methods developed by SAS. You’ll then be ready to experiment with these methods in SAS
Visual Data Mining and Machine Learning. See page 12 for more information on how to access a free software trial. Deep learning is a type of machine learning that trains a computer to perform humanlike tasks, such as recognizing speech, identifying images or making predictions. Instead of organizing data to run through predefined equations, deep learning sets up basic parameters about the data and trains the computer to learn on its own by recognizing patterns using many layers of processing. Deep learning is used strategically in many industries.
Published By: Anaplan
Published Date: Aug 28, 2018
The concept of integrated business planning — closing gaps in an organization’s various planning functions and aligning operations and strategy with its inancial performance — has existed in various forms for decades. What has changed is creation of planning platforms that can handle the luidity of data to erase silos and enterprise borders where once there were multiple geographies, departments, time zones, languages and currencies. All elements of business are managing the avalanche of information coming to them. Just like connecting disparate people, we also must connect data that resides in various systems, applications and tools.
Published By: Anaplan
Published Date: Aug 28, 2018
For many years, large corporations have employed financial planning and analysis professionals to oversee budgeting, planning, forecasting and analysis. But the sea-change in technology, data and the competitive landscape is having a sustained impact on the FP&A function as it transforms from a predominately budgeting function to a forward-focussed strategic contributor.
Now, as new cloud technology makes implementing modern FP&A quicker and cheaper, the function has become more accessible to medium-sized, or even smaller, organisations. There is a nascent but growing realisation that this corner of the finance function should be demanding more of an organisation’s attention, large or small, because having accurate and timely visibility, further into the future, could mean the difference between success and failure in today’s highly uncertain and volatile business environment.
Published By: Anaplan
Published Date: Sep 07, 2018
57% of supply chain professionals believe there is room for improvement in supply chain visibility.
Today, organizations are under pressure to increase the agility of their supply chain to be able to plan, monitor, and respond to ever-changing market conditions. By connecting data, people, plans, and networks across the enterprise, your business’ supply chain can enable true visibility, improve margins, and drive down costs.
The vision of a tightly integrated and truly connected supply chain can be achieved, but it doesn’t happen overnight. Download the white paper to learn the three steps companies can take to evolve their supply chain maturity.