We harness Shell gas-to-liquids (GTL) technology to create high-purity process oils that open exciting opportunities for your products and operations.
Conventional process oils are derived from crude oil, whereas Shell Risella X and Shell Ondina X are made from pure synthesis gas. That frees them from the impurities and large molecular variations found in mineral oils. Using GTL process oils could enhance your processes and final products to give you a competitive advantage. 
Have you ever experienced product quality issues caused by variations in process oil batches? Do you need a low-viscosity process oil, but have concerns about the effect of volatiles on working conditions? Could you offer enhanced products if you had process oils with distinct characteristics, for example, an extremely narrow hydrocarbon distribution range?
Our GTL process oils contain a high proportion of paraffinic hydrocarbons and are very pure, which provides key qualities for many applications. For in
Today, business is conducted in a fast-paced, on-demand, globally dispersed environment. Maintaining a competitive edge requires cohesive real-time collaboration. Mobile workers, partners, vendors, suppliers, and even customers expect to be able to work together seamlessly, both inside and outside the firewall. But delivering tools for high-quality collaboration is often challenging, due to the need for businesses of all sizes to support a wide range of personal and business devices. Mixing disparate devices with complex conferencing solutions often lead to frustrated employees, while businesses face a labor-intensive, costly endeavor without a high ROI. In addition, collaboration is evolving with businesses creating small "huddle" spaces and open workspaces that increase the demand for ubiquitous, effective conferencing.
The Intel Unite ' solution is a fast, simple, cost-efficient way to deliver a more secure, manageable, high-quality collaboration experience. Whether you select the
The client, under a managed services contract for infrastructure services, was dissatisfied with the existing service provider due to stagnant quality of support, lack of innovation and inferior/ deteriorating end user. They wanted reduced downtime and optimal operational metric, and enhanced end-user experience. LTI helped in executing a series of interventions as part of the “Amplified Outcomes” support model.
a. 30% reduction in TCO
b. 65% reduction in alerts
c. 70% reduction in P1 tickets
As water is increasingly being recognized as a high-value commodity, aging assets present a major threat to organizations that treat and deliver it. Improving asset performance is one of the most effective strategies water and wastewater plants and networks can implement to reduce costs and protect quality.
Published By: Gigamon
Published Date: Sep 03, 2019
Network operations teams can no longer ignore the application layer. Application experience can make or
break a digital enterprise, and today most enterprises are digital. To deliver optimal performance, network
operations tools must be application-aware. However, application-awareness in the network and security tool
layer is expensive and difficult to scale. Enterprises can mitigate these challenges with a network visibility
architecture that includes application-aware network packet brokers (NPBs).
EMA recommends that today’s network operations teams modernize their approach with full application
visibility. EMA research has found that network teams are increasingly focused on directly addressing security
risk reduction, service quality, end-user experience, and application performance. All of these new network
operations benchmarks will require deeper application-level visibility. For instance, a network team focused
on service quality will want to take a top-down approach to perfo
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
As demand for QMS solutions grows, so does the vendor landscape, complicating decisions over the right choice that ensures a successful implementation and facilitates mission-critical quality initiatives.
Research shows 71% of software rollouts fail, are late or are over budget.
Download this paper to learn more about the selection and the 7 key elements for the successful implementation of a QMS.
Across all industries, document control is one of the most important processes to get right. It ensures documents are updated and revision-controlled, allowing you to effectively route them for review, approval and distribution.
Download now to learn more about the key document processes that drive quality:
Document Routing, Review and Approval
Integration with Employee Training
Document Change Requests
Quality professionals recognize that streamlining processes can deliver significant returns, but many are unsure where or how to start. With dozens or even hundreds of processes, automating them all can seem overwhelming.
In this white paper you'll learn:
The three most important quality functions to automate for process excellence
Strategies for streamlining your quality process so you can turn insight into action
Tips for choosing a flexible platform that harnesses creative problem-solving.
Today’s customers want 24/7 access, mobile availability, quality, low prices, fast shipping, easy returns and instantaneous service. These expectations demand that every business function be customer-centric, including operations.
Read this report to find out:
• how to create customer-centric operations to deliver the customer experience
• the eight essential components of a connected, customer-centric enterprise
• why alignment between the COO and CIO is essential
• five key steps to start transforming operations to drive growth and create value.
Published By: Tricentis
Published Date: Aug 19, 2019
The way that we develop and deliver software has changed dramatically in the
past 5 years—but the metrics we use to measure quality remain largely the
same. Despite seismic shifts in business expectations, development methodologies,
system architectures, and team structures, most organizations still
rely on quality metrics that were designed for a much different era.
Every other aspect of application delivery has been scrutinized and optimized
as we transform our processes for DevOps. Why not put quality metrics under
the microscope as well?
Are metrics like number of automated tests, test case coverage, and pass/fail
rate important in the context of DevOps, where the goal is immediate insight
into whether a given release candidate has an acceptable level of risk? What
other metrics can help us ensure that the steady stream of updates don’t undermine
the very user experience that we’re working so hard to enhance?
To provide the DevOps community an objective perspective
on what quality
The current trend in manufacturing is towards tailor-made products in smaller lots with shorter delivery times. This change may lead to frequent production modifications resulting in increased machine downtime, higher production cost, product waste—and the need to rework faulty products.
To satisfy the customer demand behind this trend, manufacturers must move quickly to new production models. Quality assurance is the key area that IT must support.
At the same time, the traceability of products becomes central to compliance as well as quality. Traceability can be achieved by interconnecting data sources across the factory, analyzing historical and streaming data for insights, and taking immediate action to control the entire end-to-end process. Doing so can lead to noticeable cost reductions, and gains in efficiency, process reliability, and speed of new product delivery. Additionally, analytics helps manufacturers find the best setups for machinery.
TIBCO® Connected Intelligence for Smart Factory Insights
By processing real-time data from machine sensors using artificial intelligence and machine learning, it's possible to predict critical events and take preventive action to avoid problems. TIBCO helps manufacturers around the world predict issues with greater accuracy, reduce downtime, increase quality, and improve yield.
Today, you can improve product quality and gain better control of the entire
manufacturing chain with data virtualization, machine learning, and advanced
data analytics. With all relevant data aggregated, analyzed, and acted on, sensors,
devices, people, and processes become part of a connected Smart Factory
•? Increased uptime, reduced downtime
•? Minimized surplus and defects
•? Better yields
•? Reduced cost due to better quality
•? Fewer deviations and less non-conformance
Published By: iAdvize
Published Date: Jul 25, 2019
iAdvize commissioned Forrester Consulting to conduct a Total Economic Impact™ (TEI) study to examine the potential ROI enterprises may realize by deploying a conversational CX throughout their customer journey.
Read this study to learn how to evaluate the potential financial impact of a conversational CX on your organization through the quality and scalability of the conversations you can achieve.
The goal of automation is not to eliminate or replace human labor, but to increase productivity and quality beyond what is possible with your existing team, so as to realize economies of scale and predictable quality levels. With automation, your team is able to manage more endpoints, because automation eliminates routine and mundane responsibilities or efforts, giving your technicians the time to focus on higher priority and more complex tasks. In addition, as a managed service provider (MSP), you receive a fixed fee for your services. As a result, you need to provide service in the most efficient way possible while delivering the highest levels of consistency and quality. Building automation into your IT services business will enable you to do so. In this eBook, you’ll learn tips and best practices to successfully incorporate automation into your IT services business, including:
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.
TIBCO Data Virtualization é uma solução comprovada que é usada por quatro das cinco principais companhias de energia integradas para fornecer mais rapidamente um maior volume de dados analíticos nas operações de exploração e produção. Os casos de uso específicos descritos incluem:
• Análise de dados em plataformas offshore
• Manutenção e reparação de poços
• Serviços de dados web em refinarias
• SAP Master Data Quality
Se uma empresa de energia está enfrentando desafios relacionados com dados e suas análises, deve considerar o TIBCO Data Virtualization.
TIBCO Data Virtualization es una solución probada que es utilizada por cuatro de las cinco principales compañías de energía integradas para obtener más rápidamente una mayor cantidad de datos analíticos las operaciones de exploración y producción. Los casos de uso específicos que se describen incluyen:
• Analítica de Datos de Plataformas Marítimas
• Mantenimiento y Reparación de Pozos
• Servicios de Datos Web en Refinerías
• SAP Master Data Quality
Si una compañía de energía está enfrentando desafíos relacionados con los datos y la analítica similares, debe considerar TIBCO Data Virtualization.
Most benefits professionals agree: access to data is the key to a solid benefits strategy. But there are some hurdles in your way to finding and implementing a data solution. In this guide, we’ll show you how to overcome some of the challenges commonly faced by benefits teams:
• Prioritizing data amongst other initiatives and finding the time for analysis
• Ensuring data quality and security, and working with internal teams to get buy-in
• Justifying the cost and learning how to educate others on the value of data
Published By: Genesys
Published Date: Jun 19, 2019
Successfully managing a contact center requires a collaborative, multidisciplinary approach to handle a broad range of operational and tactical tasks. Planning, day-to-day operations and quality management must be seamlessly orchestrated, along with human resources functions like recruitment, learning and development, and employee scheduling.
Read this executive brief to learn how to transition to an AI strategy that can take your team – and business results – to the next level. See how you can:
Create an AI strategy with a single data model that includes routing, interaction analytics, forecasting/scheduling and predictive engagement
Harness the power of your data to align customers with the best resource
Drive employee effectiveness by ensuring you hire the right people and manage their performance to drive their success over the long term
In order to provide high quality, cost effective business services in complex, distributed environments, improved IT management strategies are required. Business Service Management (BSM) is a strategic approach to managing IT services in support of improved business performance.
ITIL provides a framework of customizable best practice initiatives that help organizations consistently deliver high-quality IT services. Effective ITIL implementation adds value to the IT infrastructure and improves business and service delivery.
Application Portfolio Optimization (APO) provides executives with tools and information to assess the quality and condition of application assets as well as a means for understanding the impact of proposed application changes.