Hyperconverged infrastructure is radically shaking up the IT landscape, creating huge operational and economic benefits. Tier 1 applications such as Exchange, SQL Server, Oracle and others are among the many beneficiaries of this new generation of infrastructure. However, there are many vendors jumping on the market bandwagon, and not all systems that are marketed as hyperconverged really fit the criteria. IT organizations need to do their homework to ensure they are selecting true hyperconverged solutions.
Cisco® Unified Access establishes a framework that securely, reliably, and seamlessly connects anyone, anywhere, anytime, using any device to any resource. This framework empowers all employees with advanced services, taking advantage of an intelligent, enterprise-wide network to increase revenue, productivity, and customer satisfaction while reducing operational inefficiencies across the business. Cisco Unified Access includes services-rich network edge systems and combines a core network infrastructure embedded with integration of productivity-enhancing advanced technologies, including IP communications, mobility, security, video, and collaboration services.
Datacenter improvements have thus far focused on cost reduction and point solutions. Server consolidation, cloud computing, virtualization, and the implementation of flash storage capabilities have all helped reduce server sprawl, along with associated staffing and facilities costs. Converged systems — which combine compute, storage, and networking into a single system — are particularly effective in enabling organizations to reduce operational and staff expenses. These software-defined systems require only limited human intervention. Code imbedded in the software configures hardware and automates many previously manual processes, thereby dramatically reducing instances of human error. Concurrently, these technologies have enabled businesses to make incremental improvements to customer engagement and service delivery processes and strategies.
Published By: Dell EMC
Published Date: Nov 04, 2016
According to recent ESG research, 70% of IT respondents indicated they plan to invest in HCI over the next 24 months. IT planners are increasingly turning toward HyperConverged Infrastructure (HCI) solutions to simplify and speed up infrastructure deployments, ease day-to-day operational management, reduce costs, and increase IT speed and agility.
HCI consists of a nodal-based architecture whereby all the required virtualized compute, storage, and networking assets are self-contained inside individual nodes. These nodes are, in effect, discrete virtualized computing resources “in a box.” However, they are typically grouped together to provide resiliency, high performance, and flexible resource pooling. And since HCI appliances can scale out to large configurations over time, these systems can provide businesses with investment protection and a simpler, more agile, and cost-effective way to deploy virtualized computing infrastructure. Read this paper to learn more.
SAP S/4HANA Retail for merchandise management is at the core of a comprehensive suite of retail offerings designed to help retailers meet the demands of a digital economy. It supports retail core processes end to end, starting with master data down to point-of-sales (POS) connectivity. It allows insights into operational retail data, empowering users with contextual, real time information for faster and better decision making. Processes can easily be extended to connect to business networks to form a digital ecosystem and collaboratively drive business model improvements. Equipped with a simple and intuitive user experience, the solution offers better support for headquarters users as well as store associates to drive compelling customer experiences.
Be confident that you are measurably improving operational efficiency and reducing costs for your business by initiating a best-practices document performance management system with proven methodologies and tools
Published By: UNIT4 CODA
Published Date: Jul 13, 2011
IKEA uses one common finance system globally making accounting quicker and easier. Their standard Chart of Accounts updates information in real time from IKEA's operational systems, so each store has on-demand access to real-time performance data.
Published By: Microsoft
Published Date: Oct 06, 2017
After rapid expansion of vendors and features, players in the operational DBMS market continue converging toward feature parity. Data and analytics leaders will be interested in the lack of Visionaries, competition in the Challengers quadrant and the maturing cloud capabilities among these vendors.
Leveraging IIoT advancements, learn how to break traditional barriers between your power and process control systems to solve challenges across the full lifecycle of the plant. Download the white paper to learn more.
Industrial Internet of Things (IIoT) technologies and concepts can transform and enhance process safety practices if appropriately applied. Download the white paper for guidance on leveraging IIoT tools and techniques to deliver industrial safety in a profitable manner.
Industrial process safety management has evolved beyond simple functional safety. Some companies are at risk because management and business process aspects are not integrated into the overall safety plan. Such gaps can impact both operational integrity and profitable performance.
Explore the change drivers affecting plant process safety management and learn how operators can find, measure, and manage gaps to maintain safe conditions and improve profitability.
Download the white paper to learn more.
The safety of operations can have a direct, positive impact on the operational profitability of the plant. Environmental health and safety (EH&S) can now be viewed not just as a cost center, but as a profit center, and new levels of both safety and profitability can result. Real-time safe profitability is no longer a dream—it is a reality!
New trends in life cycle management of automation assets are paving the way for the “continuously current enterprise”, to improve both availability and utilization of automation assets. Download the white paper today to learn more.
To compete in today’s fast-paced business climate, enterprises need
accurate and frequent sales and customer reports to make real-time
operational decisions about pricing, merchandising and inventory
management. They also require greater agility to respond to business
events as they happen, and more visibility into business activities so
information and systems are optimized for peak efficiency and performance.
By making use of data capture and business intelligence to
integrate and apply data across the enterprise, organizations can capitalize
on emerging opportunities and build a competitive advantage.
The IBM® data replication portfolio is designed to address these issues
through a highly flexible one-stop shop for high-volume, robust, secure
information replication across heterogeneous data stores.
The portfolio leverages real-time data replication to support high
availability, database migration, application consolidation, dynamic
warehousing, master data management (MDM), service
"With the introduction of Oracle Database In-Memory and servers with the SPARC S7 and SPARC M7 processors Oracle delivers an architecture where analytics are run on live operational databases and not on data subsets in data warehouses. Decision-making is much faster and more accurate because the data is not a stale subset. And for those moving enterprise applications to the cloud, Real-time analytics of the SPARC S7 and SPARC M7 processors are available both in a private cloud on SPARC servers or in Oracle’s Public cloud in the SPARC cloud compute service.
Moving to the Oracle Public Cloud does not compromise the benefits of SPARC solutions. Some examples of utilizing real time data for business decisions include: analysis of supply chain data for order fulfillment and supply optimization, analysis of customer purchase history for real time recommendations to customers using online purchasing systems, etc.
If you’re like everyone else in HR today, you’re probably thinking about how your organisation can handle data better. Maybe your executives want the power to make data-driven decisions from comprehensive workforce analytics. Perhaps you’d like to streamline the efficiency of your HR operation or put more actionable information in the hands of your line managers and employees. With the elixHR Platform, you can integrate your HR data and processes so your people can access information quickly and easily, and make better decisions. You can also lower your operational costs because you can increase efficiency and eliminate the need to replace HR systems that you already have in place.
e-book which lays out the case for machine learning and artificial intelligence for mainframe operational analytics. The mainframe is now part of a highly complex connected ecosystem driving trillions of mobile and web transactions critical to the functioning of the application economy. The emergence of new workloads and apps on the mainframe means that the status quo isn’t enough when it comes to Mainframe management. IT professionals alone – whether mainframe skilled or not – simply can’t keep up with the onslaught of performance alerts, false alarms. Machine learning deliver mainframe intelligence a more proactive and automated approach to handle this challenge.
Developing an optimal arc flash protection strategy
for a given facility can be difficult due to the number of solutions
and system variables involved. Effective arc flash hazard reduction
is best achieved by establishing an overall system protection
strategy that accounts for safety and operational requirements as
well as system reliability and availability. An overview of available
solution categories and application guidance based on experience
in a wide variety of facility types is presented in order to assist
engineers trying to implement “safety by design” principles
to help deal with arc flash hazards. The approach provided addresses
the complexities of the trade-offs between competing priorities
and provides tools that help users develop effective protection
strategies for the unique circumstances in a given facility.
In the future, people won’t necessarily want to own cars, but they’ll need personal mobility. The mobility ecosystem can support a range of different services, but in the near-term, many of these nascent businesses face a range of operational challenges as they bid to grow and become profitable.
This ebook explores the fundamental needs of new mobility providers as they target business improvements, looks at their considerations as they forge key technology partnerships, and shows how HERE's Auto Mobility Operations solution can help mobility services meet those requirements.
This ebook will help you understand how Auto Mobility Operations helps:
• Enable the creation and integration of key location features as applications for mobile operating systems through use of the HERE Mobile SDK
• Manage and efficiently operate fleet assets with HERE Location Services, providing fresh, high-quality and global location-based data
• Create a frictionless and compelling UX - with APIs, mapping
Operational readiness depends on rich location data. When managing logistics and tracking high-value assets, there is no room for error and our new data-driven world demands richer, smarter advanced mapping and navigation services.
The 2018 Counterpoint Research Location Ecosystems Update compared 16 location platform vendors—including Google, TomTom and Mapbox—and it named HERE the “undisputed leader” in location based services.
Counterpoint recognized HERE for its integrated analytical capability and commitment to open partnerships, allowing for custom operational requirements and a truly mobile location intelligence platform.
See how HERE provides the industry leading tools and expertise to process that data—streamlining the logistics supply chain, boosting responsiveness, and guaranteeing mission success.
Wikibon conducted in-depth interviews with organizations that had achieved Big Data success and high rates of returns. These interviews determined an important generality: that Big Data winners focused on operationalizing and automating their Big Data projects. They used Inline Analytics to drive algorithms that directly connected to and facilitated automatic change in the operational systems-of-record. These algorithms were usually developed and supported by data tables derived using Deep Data Analytics from Big Data Hadoop systems and/or data warehouses. Instead of focusing on enlightening the few with pretty historical graphs, successful players focused on changing the operational systems for everybody and managed the feedback and improvement process from the company as a whole.
Published By: Workday
Published Date: Mar 02, 2018
Many government organizations run their core business and operational applications on
systems a generation (or two) behind current technologies. This whitepaper from the Governing Institute
explains how forward-thinking government agencies are leveraging the cloud to reduce costs and
implement a modern, secure platform for delivering IT services.
It is common belief that automation of existing processes and implementation of an Enterprise Resource Planning (ERP) system can help organizations with their strategic objectives and seamlessly translate into operational excellence. While a modern ERP system certainly provides companies with many benefits, it does not necessarily translate to optimal business performance.
Published By: Turbonomic
Published Date: Oct 02, 2018
Microsoft Azure is a public cloud platform featuring powerful on-demand infrastructure and solutions for building and deploying applications workloads as well as a wide variety of IT and application services. You can use Azure as a public cloud provider and as a hybrid extension to existing on-premises infrastructure. Organizations that use Microsoft solutions on-premises are able to extend their infrastructure and operational processes to Azure.
With the growing popularity of Azure, today’s systems administrators need to acquire and strengthen their skills on this fast-growing public cloud platform. In this guide we explore the Azure public cloud platform with a focus on the Infrastructure-as-a-Service (IaaS) features. We cover general architectural features of the Azure cloud including geographic regions, availability zones, and Service Level Agreements (SLAs) attached to the core Azure IaaS infrastructure.