HealthLeaders' survey on workforce management queried leaders from a cross-section of U.S. healthcare organizations, including hospitals, health systems, physician organizations, and long-term care/skilled nursing facilities. The 150 respondents represent executives across all disciplines — administration, clinical, operations, finance, marketing, and information. In the next three to five years, hospitals, health systems, and other patient service providers expect to augment their time-and-attendance and payroll systems with integrated applications that enable more sophisticated data crunching around labor analytics, acuity management, and staffing assignments. The goal? To convert the workforce from overhead to asset — a flexible, agile asset that will help organizations succeed in an increasingly demanding regulatory and competitive environment.
"We live and surf in a cyber world where attacks like APT, DDOS, Trojans and Ransomware are common and easy to execute. Domain names are an integral part of any business today and apparently an integral part of an attacker's plan too.
Domain names are carriers of malwares, they act as Command and Control servers and malware's ex-filtrate data too. In today's threat landscape - predicting threats, spotting threats and mitigating them is super crucial.. This is called Visibility and Analytics.
Watch this on demand session with our Cisco cloud security experts Shyam Ramaswamy and Fernando Ferrari as they talk about how Cisco Umbrella and The Umbrella Research team detect anomalies, block threats and identify compromised hosts. The experts also discuss how effectively Cisco spot, react, filter out IOC, block the network communications of a malware; identify and stop a phishing campaign (unknown ones too).
Today’s organizations are becoming more innovative and dynamic by adopting mobility, IoT, analytics and cloud technologies. With this, come growing demands for network scale, agility and threat protection which call for an intent-based network. The Cisco® Digital Network Architecture (Cisco DNA) gives you comprehensive intent-based networking across your campus, branch and WAN with robust wired, wireless, and routing solutions.
Why your data catalog won’t deliver significant ROI
According to Gartner, organizations that provide access to a curated catalog of internal and external data assets will derive twice as much business value from their analytics investments by 2020 than those that do not.
That’s a ringing endorsement of data catalogs, and a growing number of enterprises seem to agree. In fact, the global data catalog market is expected to grow from US$210.0 million in 2017 to US$620.0 million by 2022, at a Compound Annual Growth Rate (CAGR) of 24.2%.
Why such large and intensifying demand for data catalogs? The primary driver is that many organizations are working to modernize their data platforms with data lakes, cloud-based data warehouses, advanced analytics and various SaaS applications in order to grow profitable digital initiatives. To support these digital initiatives and other business imperatives, organizations need more reliable, faster access to their data.
However, modernizing data plat
Technology enables business transformation To thrive in today’s idea economy, small and midsize companies like yours are using technology to transform their business. Like your peers, you know that mobile applications, cloud-based solutions, and advanced analytics can help you increase productivity, reduce costs, and grow your business. Older servers, storage, and networking products weren’t built to handle the exploding amount of data that is being shared today. In order to take advantage of these modern applications, many companies have found that they need to close the gap between what their business demands and what their IT systems can deliver.
This RSR custom research report explores the impact of omnichannel methods on merchandising, marketing and the supply chain; specifically, what analytical capabilities address the challenges that omnichannel selling and fulfillment pose for retailers. Consumers today routinely begin their shopping journeys online, but complete their purchases in nearby stores, in their “home” stores or delivered directly to their doors. Retail analytics enables organizations to capture data from their customers' journeys. Retailers that successfully deliver relevant omnichannel experiences while gaining a more sophisticated understanding of demand (where and how it is initiated) will enhance their brands’ value and create compelling and profitable customer relationships.
Social, Mobile, Analytics and Cloud (SMAC), have broad potential to provide huge business value, while simultaneously presenting potentially overwhelming challenges. The rapid technology changes supporting SMAC and the overall complexity involved demand a systematic approach to building out your SMAC capability.
Published By: Teradata
Published Date: Jun 22, 2015
This paper looks at the critical connection between data analytics and the future of tax compliance. It shows how the ability to pinpoint the “right” cases can bring more efficiency—and more revenue—to tax agencies. It also confirms that tax agencies already have vital data at their fingertips; the challenge is to find new and better ways to put it to use. Finally, it describes how a cohesive compliance strategy demands an agile, balanced solution of people, processes, technology, and data.
For most enterprises, 60 to 73 percent of enterprise data goes unused for business-intelligence (BI) and analytics efforts, according to Forrester.1
Data that is out of sight or out of date creates a competitive blind spot for businesses today. With customer demands, economic changes, and new trends and technologies evolving at a dizzying pace, staying relevant — not to mention competitive — requires that businesses access all available BI to be ?exible and agile. Businesses must have quick access to data that is comprehensive, accurate, current, and consumable in real time. A traditional infrastructure, where the online analytical processing (OLAP) platform and the online transaction processing (OLTP) platform are separate, makes ?exibility and agility difficult to achieve.
When a business has accurate, current data in hand, it can make real-time data-driven business decisions so that it can stay relevant and competitive, or even be a disruptor in its industry. One way that a busines
Software drives competitive advantage more than ever at an increasing velocity for releases along with higher, overwhelming levels of deployment complexity.
Dramatic growth in mobile applications, analytics, systems of engagement, and cloud demands that organizations respond adaptively, even as resource constraints make it challenging to nearly impossible to do so. As a result of these combined factors, IDC sees increased interest in, demand for, and adoption of agile approaches to development and also for business initiatives driving adoption of agile approaches to overall project, program, and portfolio management. As we receive inquiry on this area increasingly, it makes sense to assess this market.
Published By: Cognizant
Published Date: Oct 23, 2018
In the last few years, a wave of digital technologies changed the banking landscape - social/ mobile altered the way banks engage with customers, analytics enabled hyper personalized offerings by making sense of large datasets, Cloud technologies shifted the computing paradigm from CapEx to OpEx, enabling delivery of business processes as services from third-party platforms.
Now, a second wave of disruption is set to drive even more profound changes - including robotic process automation (RPA), AI, IOT instrumentation, blockchain distributed ledger and shared infrastructure, and open banking platforms controlled by application programming interfaces (API). As these technologies become commercialized, and demand increases for digitally-enabled services, we will see unprecedented disruption, as non-traditional banks and fintechs rush into all segments of the banking space. This whitepaper examines key considerations for banks as they explore value in the emerging Digital 2.0 world.
The enormous volume, velocity and variety of data flooding the enterprise, along with the push for analytics and business intelligence, is creating a massive challenge that is overwhelming traditional storage approaches. As the demand for capacity continues to escalate, companies must be able to effectively and dynamically manage the storage supply, but also the demand for storage resources. The key is to optimize the infrastructure through standardization and virtualization, and replace manual tasks with policy-based automation.
Smart on-line transaction processing systems will be able to leverage transactions and big data analytics on-demand, on an event-driven basis and in real-time for competitive advantage. Download to learn how!
Published By: Veritas
Published Date: Jan 04, 2019
The digital business continues to evolve. Investments in data analytics projects lead the way while traditional, proprietary infrastructures are being disrupted by cloud, open source and hyperconverged paradigms. These changes are forcing IT leaders to contend with greater workload diversity in the midst of tightening budgets. And while the workload [or] IT landscape is changing, the need for reliable data protection remains as crucial as ever to protect against, data corruption, human error, and malicious threats such as ransomware. Learn how Veritas can help you navigate through these obstacles. Join us to hear experts from ESG and Veritas discuss how the right data protection solution today can prepare you for tomorrow's business demands.
You will learn:
The key trends that are driving change in the digital business
The most common causes of data loss in tomorrow’s multi-cloud data centers
How to protect an increasingly diverse environment with minimal operational overhead
In the new age of big data, applications are leveraging large farms of powerful servers and extremely fast networks to access petabytes of data served for everything from data analytics to scientific discovery to movie rendering. These new applications demand fast and efficient storage, which legacy solutions are no longer capable of providing.
Published By: Exabeam
Published Date: Sep 25, 2017
In evaluating UEBA solutions’ ability to detect, prioritize, and respond, it is important to understand the full potential of data sciencedriven analytics. Organizations should ask their vendors if they can support the following Top 12 UEBA use cases, and most importantly, demand that the vendor demonstrate this support within the POC or pilot.
"Today, enormous amounts of data are being created from a variety of sources, such as applications, new mobile devices, big data analytics, and the cloud. This is changing the speed with which business gets conducted and the scale in which it occurs. Moreover, the digital explosion shows no sign of slowing and IDC expects the amount of data being stored to grow in excess of 50% per year over the next few years.
Discover how flash technology is being deployed to improve performance and efficiency for these demanding environments. Access this IDC whitepaper to learn more about the role of flash technology and the importance of flash solutions that are designed specifically for the enterprise."
Predictive IT is a powerful new approach that uses machine learning and artificial intelligence (AI) to predict incidents before they impact customers and end users. By using AI and predictive analytics, IT organizations are able to deliver seamless customer experiences that meet changing customer behavior and business demands. Discover the critical steps required to build your IT strategy, and learn how to harness predictive analytics to reduce operational inefficiencies and improve digital experiences.
Download this executive brief from CIO to learn:
5 steps to an effective predictive IT strategy
Where AI can help, and where it can’t
How to drive revenue and exceptional customer experiences with predictive analytics
As organizations develop next-generation applications for the digital era, many are using cognitive computing ushered in by IBM Watson® technology. Cognitive applications can learn and react to customer preferences, and then use that information to support capabilities such as confidence-weighted outcomes with data transparency, systematic learning and natural language processing.
To make the most of these next-generation applications, you need a next-generation database. It must handle a massive volume of data while delivering high performance to support real-time analytics. At the same time, it must provide data availability for demanding applications, scalability for growth and flexibility for responding to changes.
It's true that deploying B2B e-commerce platform involves many unique requirements not commonly found in B2C operations, such as incorporating a complex product port-folio, multiple distribution channels, and integrating with third party systems
And yet, it's possible to complete an initial out-of-the-box B2B implementation within three months, if all the right critical path steps are followed. Additional features and functionality can be added after the initial launch, provided that the chosen out-of-the-box platform is designed to be used over the long run.