Published By: Aberdeen
Published Date: Jun 17, 2011
Download this paper to learn the top strategies leading executives are using to take full advantage of the insight they receive from their business intelligence (BI) systems - and turn that insight into a competitive weapon.
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.
Continuous data availability is a key business continuity requirement for storage systems. It ensures protection against downtime in case of serious incidents or disasters and enables recovery to an operational state within a reasonably short period. To ensure continuous availability, storage solutions need to meet resiliency, recovery, and contingency requirements outlined by the organization.
Christian Kane is an Enterprise Mobility Management Research Analyst with Forrester Research, where he helps clients develop and improve their desktop and mobile strategy. His research spans mobile hardware, mobile operating systems, mobile device management solutions, and mobile applications.
You may see recommendations for universal tractor transmission oil, anti-wear hydraulic oil, zinc free hydraulic oil, TO-4 transmission drive train oil, and more. These varying recommendations can leave one confused and asking, “Is there one hydraulic oil I could use in all of my mobile equipment?” This is a question our technical team is asked frequently; after all, hydraulic systems perform similar duties, and some components, like pumps and valves, can be common across different OEM brands.
When Bloomberg Television opened its state-of-the-art broadcast facility in the company’s new European Headquarters in London last year, network engineers from the company’s IT infrastructure team collaborated with Apstra to successfully pilot its technology in order to gain visibility across and more effectively manage the network fabric supporting the building’s media production systems.
Published By: Genesys
Published Date: Dec 20, 2018
If you are considering the right deployment model for your contact center, economic guidelines can help you choose the solution that is best for your company. Cloud, on-premises or hybrid.
Just a few years ago, businesses were still unsure of the viability of moving their contact centers and other critical enterprise systems to the cloud. Since then, with the decrease of cloud costs, and the corresponding increase in security and, the viability and total cost of ownership of cloud deployments are attracting more and more companies.
This eBook will cover how different criteria can affect a choice between a cloud or on-premises contact center, including:
• The size of your contact center, and business requirements such as customer journey management
• The location and quantity of contact centers being managed
• The need for scalability, speed of deployment, and maintenance requirements
With the combination of electronic health records, rich repositories of claims data, medical device outputs, laboratory and prescription systems, real-world data and the data mined from other information technology systems, the health and life sciences ecosystem can now gain new perspective.
Download this complimentary paper to learn more about how health care data has the power to transform the sector, helping to address the industry’s biggest challenges surrounding costs and quality of patient care.
By adopting solutions that allow them to both produce and consume data analytics insights in a way that better guides clinical and business strategies, innovative health care organizations can learn not only to survive but also thrive in the decades to come.
Quickly see differences between brands like Avaya, Mitel, Cisco, ShoreTel, 8x8, Panasonic, etc and compare over 94 phone systems by 52 brands for small to big business. Our latest Spring 2010 edition of the chart also compares PBX and Business VoIP systems side by side so you can make an educated comparison of your options. This analysis is prepared in an easy to use Excel spreadsheet so you can edit and add information to suit your analysis and presentation needs.
Published By: Cisco EMEA
Published Date: Nov 13, 2017
The HX Data Platform uses a self-healing architecture that implements data replication for high availability, remediates hardware failures, and alerts your IT administrators so that problems can be resolved quickly and your business can continue to operate. Space-efficient, pointerbased snapshots facilitate backup operations, and native replication supports cross-site protection. Data-at-rest encryption protects data from security risks and threats. Integration with leading enterprise backup systems allows you to extend your preferred data protection tools to your hyperconverged environment.
In Forrester’s 40-criteria evaluation of subscription billing platform solutions, we identified the eight most significant vendors in the category — Apttus, Aria Systems, Digital River,
goTransverse, Recurly, SAP hybris, Vindicia, and Zuora — and researched, analyzed, and scored them. This report details our findings about how well each vendor fulfills our criteria and where they stand in relation to each other to help eBusiness professionals select the right partner as they seek to develop and support alternative business models for both existing and new
products and services.
Businesses who have lived through the evolution of the digital age are well aware that we’ve
experienced a generational shift in technology. The rise of software as a service (SaaS),
cloud, mobile, big data, the Internet of Things (IoT), social media, and other technologies
have disrupted industries and changed customers’ expectations. In our always-on, buy
anything anywhere world, customers want their shopping experiences to be personalized,
dynamic, and convenient.
As a result, many businesses are trying to reinvent themselves. Success in a fast-paced
economy depends on continually adapting and innovating. Companies have to move quickly
to keep up; there’s no time for disjointed technologies and old systems that don’t serve the
customer-obsessed mentality needed to thrive in the digital age.
New data sources are fueling innovation while stretching the limitations of traditional data management strategies and structures. Data warehouses are giving way to purpose built platforms more capable of meeting the real-time needs of a more demanding end user and the opportunities presented by Big Data. Significant strategy shifts are under way to transform traditional data ecosystems by creating a unified view of the data terrain necessary to support Big Data and real-time needs of innovative enterprises companies.
In midsize and large organizations, critical business processing continues to depend on relational databases including Microsoft® SQL Server. While new tools like Hadoop help businesses analyze oceans of Big Data, conventional relational-database management systems (RDBMS) remain the backbone for online transaction processing (OLTP), online analytic processing (OLAP), and mixed OLTP/OLAP workloads.
In an innovation-powered economy, ideas need to travel at the speed of thought. Yet even as our ability to communicate across companies and time zones grows rapidly, people remain frustrated by downtime and unanticipated delays across the increasingly complex grid of cloud-based infrastructure, data networks, storage systems, and servers that power our work.
Curves® and Jenny Craig® operate 7,000 Curves clubs and franchises globally and 400 Jenny Craig locations supported by IT service desks in California, Texas, and Australia. The two organizations combined to form Curves Jenny Craig in November 2013. Outdated systems, known internally as “the black hole,” plagued Jenny Craig with inefficient processes and created a lack of accountability. For example, records could not be categorized or prioritized properly, tracked by date or owner, and they could be intentionally hidden in an ambiguous status. Without visibility, Jenny Craig had no way to quantify the impact of their customer service. Mary Carter, manager of IT service, summed it up, “We had no reporting prior Cherwell Service Management.” Curves was in even worse shape as they logged tickets in an Excel® spreadsheet.
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.
Big Data, cloud, and mobility are changing the way we do business and bringing more opportunities to small and midsized businesses (SMBs) than ever before. To create competitive differentiation and take advantage of these opportunities, you need to close the gap between what your business demands and what your IT systems can deliver.
Industrial enterprises around the world are retooling their factories with advanced technologies to boost manufacturing flexibility and speed, achieving new levels of overall equipment effectiveness (OEE), supply chain responsiveness, and customer satisfaction in the process. This renaissance reflects very real pressures industry players face today. For years, traditional factories have been operating at a disadvantage, impeded by production environments that are “disconnected”—at the very least strictly gated—to corporate business systems, to supply chains, and to customers and partners.
What You Will Learn:
This document will identify the essential capabilities you need in an advanced malware protection solution, the key questions you should ask your vendor, and shows you how Cisco combats today’s advanced malware attacks using a combination of four techniques:
• Advanced analytics
• Collective global security threat intelligence
• Enforcement across multiple form factors (networks, endpoints, mobile devices, secure gateways, and virtual systems)
• Continuous analysis and retrospective security
Enterprises are leveraging advancements in what IDC calls “3rd Platform” technologies — cloud, Big Data, mobility, and social — to create new business opportunities and gain competitive advantage. These trends are putting more pressure on IT organizations to transform their datacenter operations to better support business initiatives aimed at reducing costs, increasing revenue, and strengthening customer relationships. This has driven increased demand for converged or integrated systems that provide the tools needed to reduce capital costs, improve operational efficiencies and, ultimately, increase agility within the datacenter.
Emerging technologies, like mobile, big data and cloud, lead to increasingly complex and demanding workloads that can overwhelm outdated infrastructures. But by leveraging server and management systems designed for the technologies of today, Best-in-Class organizations can easily meet these demands and gain benefits.
Too irrelevant to the team leader.
Such are the complaints heard repeatedly about Performance Management and Engagement systems.
And these don’t even touch on the biggest problem of all: current systems produce a tidal wave of unreliable data. The ratings they yield are based on the notion that, with enough time and training, managers (and peers) can become reliable raters of other people’s skills and competencies. Sadly, that’s not true. A large body of research reveals:
61% of your manager’s rating of you is a reflection of the
manager, not of you. Your organization, apparently unaware of this, then persists on paying you, training you, and promoting you—and everyone else in the organization—based on these flawed ratings.