systems

Decisions which are made on the basis of poor-quality data expose public sector bodies to risk, and cost them money. Download the free whitepaper and see how you can make your data pay dividends.

As applications and services become more central to business strategy, and as distributed methodologies like agile and DevOps change the way teams operate, it is critical for IT leaders to find a way to integrate their backend systems, legacy systems, and teams in an agile, adaptable way. This e-book details an architecture called agile integration, consisting of three technology pillars—distributed integration, containers, and APIs—to deliver flexibility, scalability, and reusability.

Today, ERP is a cornerstone of many organisations’ tech infrastructure. Yet many of the solutions in play are legacy products, decades old and designed for an entirely different business landscape. With industry leaders expressing concern that out-of-date ERP solutions have now become an impediment to competitive business, IDC set out to uncover what exactly modern companies need from their ERP systems, and why SAP S/4Hana seems so well placed to deliver.

"High-profile cyber attacks seem to occur almost daily in recent years. Clearly security threats are persistent and growing. While many organizations have adopted a defense-in-depth strategy — utilizing anti-virus protection, firewalls, intruder prevention systems, sandboxing, and secure web gateways — most IT departments still fail to explicitly protect the Domain Name System (DNS). This oversight leaves a massive gap in network defenses. But this infrastructure doesn’t have to be a vulnerability. Solutions that protect recursive DNS (rDNS) can serve as a simple and effective security control point for end users and devices on your network. Read this white paper to learn more about how rDNS is putting your enterprise at risk, why you need a security checkpoint at this infrastructural layer, how rDNS security solutio Read 5 Reasons Enterprises Need a New Access Model to learn about the fundamental changes enterprises need to make when providing access to their private applications.

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.

What is a Data Lake? Today’s organizations are tasked with managing multiple data types, coming from a wide variety of sources. Faced with massive volumes and heterogeneous types of data, organizations are finding that in order to deliver insights in a timely manner, they need a data storage and analytics solution that offers more agility and flexibility than traditional data management systems. Data Lakes are a new and increasingly popular way to store and analyze data that addresses many of these challenges. A Data Lakes allows an organization to store all of their data, structured and unstructured, in one, centralized repository. Since data can be stored as-is, there is no need to convert it to a predefined schema and you no longer need to know what questions you want to ask of your data beforehand. Download to find out more now.

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.

Today’s digital businesses are managed using critical business analyses that provide far greater insight into the business and how to maximize results. However, these high-value applications that use the latest software tools demand far more from IT infrastructure, as they utilize an order of magnitude more data and demand more compute resources than legacy applications. Legacy systems are no longer capable of meeting the present and future needs of the organization.

"Cloud platforms are rewriting the way that companies work, serving as a vital foundation for digital transformation. Companies should brace for challenges that will need to be met as they transition from in-house systems to hybrid-cloud, multi-cloud, and public-cloud environments. Learn how an open-source strategy and consistent governance will help your company use multi-clouds to compete in the digital world. Download the Harvard Business Review Analytic Services report and find out more."

This infographic looks at Software Engineers who do awesome ops, ensuring millions of users having super-fast and reliable service from today’s massively complex systems! We look at the key skills and tools required in Modern monitoring and analytics: -Full Stack Visibility -Noise Reduction -Anomaly Detection -Modern Instrumentation -Data- Driven Insights Put your SRE Teams in the Driver's Seat with a new model for application monitoring.

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.

The ‘80s Called… … And they don’t want their enterprise Project and Portfolio Management (PPM) tools back. If your Project Management Office (PMO) is still relying on the same or similar processes and systems used when neon and mullets were trending, it will never keep pace with today’s market demands or shifts in technology. Six-month deployment schedules and command and control models of yesteryear are actively being replaced with continuous delivery methods and practices like agile and lean—all in the interest of driving greater customer engagement.

Health systems that implement CRM-based engagement solutions stand to achieve significant strategic gains, from acquiring and retaining patients to supporting more positive clinical outcomes to increasing referrals to member providers and practices. Driven by easy access to rich consumer data and analytic profiling, as well as patient encounter histories, CRM-based engagement centers optimized for healthcare enable health system CSRs to quickly offer personalized responses to consumer or patient inquiries via multiple in- and outbound media, including telephone, email, social, and web.

Maintaining a competitive edge today means building a Digital Enterprise capable of taking full advantage of social, mobile, web, cloud, “things,” (sensors and devices), and analytics technologies. Among the terms used to describe this business transition is “the API Economy,” an economy in which APIs are no longer just an IT concern, but the underpinnings of new revenue streams and new business models that are disrupting entire industries. Read this paper to learn about: New, modern applications being built for the enterprise Application ecosystems and extending the value of your company in the API Economy Two ways to integrate devices in the Internet of Things The microservices approach to application development The role of API management in the digital enterprise

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.

World leader in design and manufacture of innovative sensing solutions that enhance safety, security, and energy efficiency. For this manufacturers of high-tech imaging systems, monitoring accuracy and product quality are critical. Any quality problem could mean a part fails sooner than expected, or triggers a false alarm at a customer site that causes unnecessary panic. By setting up automated manufacturing analytic workflows with the TIBCO StatisticaTM platform, the company can complete complicated processes in just a few minutes and improve product quality by decreasing the variability of everything they produce.

This report outlines the reasons that organizations choose not to upgrade ERP solutions, and cautions against this approach, by supplying research that illustrates the benefits of keeping your ERP current and up-to-date.

The world has changed. Yesterday everyone had a managed PC for work and all enterprise data was behind a firewall. Today, mobile devices are the control panel for our personal and professional lives. This change has contributed to the single largest technology-driven lifestyle change of the last 10 years. As productivity tools, mobile devices now access significantly more data than in years past. This has made mobile the new frontier for a wide spectrum of risk that includes cyber attacks, a range of malware families, non-compliant apps that leak data, and vulnerabilities in device operating systems or apps. A secure digital business ecosystem demands technologies that enable organizations to continuously monitor for threats and provide enterprise-wide visibility into threat intelligence. Watch the webinar to learn more about: What makes up the full spectrum of mobile risks Lookout's Mobile Risk Matrix covering the key components of risk How to evolve beyond mobile device management

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.

Cash may be popular with consumers, but it often presents challenges and extra costs for retailers. Manually handling, counting, reconciling and depositing cash every day, or multiple times a day, can be expensive. Smart safe technology and automated cash handling can help and benefit all areas of your business – from Finance to Operations to Loss Prevention – but, more importantly, your customers. Read this eBook to learn the four key benefits of automated cash handling: • Maximize your cash flow • Gain more flexibility with open systems • Reduce shrinkage and reconciliation • Care for customers instead of counting cash

Connecting and protecting organizations as their people disperse to more locations and need access to resources inside and outside the enterprise are driving a renewed focus on operational efficiency and security efficacy. While the fundamental concerns of confidentiality, integrity, and accessibility are unchanged, the cost and potential losses to organizations continue to increase, making the role of C-level infrastructure and security executives more complex than ever before. A recent IDC survey of CISOs ranked the following as the top 5 scenarios keeping them up at night: • Breach disclosure on the front page of WSJ and so forth • Leak of 50% of employee HR records • IT systems to be a source of major attack against partner • Target-style breach • Leak of 10% of PHI/PII customer records

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.

Many retailers are investing in distributed order management systems to optimize their consumer order fulfilment performance. Chief supply chain officers can use this research to successfully implement these systems into their business application landscape.

Far from being a soft issue, trust underpins the management of your digital business and digital ecosystems. This report highlights how trust is fundamental to your digital transformation. It focuses on the role of trust in the B2B context and analyzes the key technologies, processes, and operational values that CIOs and their teams must use to build and maintain trusted ecosystem partnerships

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