data

This Hyper Converged Infrastructure solution brief describes the key benefits of NetApp's next generation HCI solution including enterprise scale, efficient storage architecture, trustworthy data services, and IT operations transformation.

In today’s digital healthcare world, analytics are critical. In the healthcare industry, your goals are visionary, complex and critically important to the health of both individuals and the economy. To successfully reach higher-value services, better health and lower costs, you need a healthcare analytics solution that tells you the whole story and unlocks the value that lives within your data.

Organizations are, or will soon be, producing petabytes – thousands of terabytes or millions of gigabytes – of valuable data. But the ability to transform these massive data sets into actionable insights requires business intelligence (BI) and analytics tools that can uncover the hidden relationships among varied sources of information, provide rich visualizations of trends and don’t require end-users to be trained data scientists.

As networks increase in complexity, keeping them secure is more challenging. With users connecting to unsecured public networks, running multiple applications on both company-owned and personal devices, corporate data can now be accessed – and lost – from more endpoints than ever. This guide provides simple, practical advice to help simplify these issues.

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.

Cities are changing at a pace never before possible, bringing smart features online daily. But smart features don’t equal smart cities. That’s why aspiring smart cities are shifting from siloes of smart features to a more holistic approach that connects and makes sense of all people and things. This shift demands technology solutions that are edge-centric, cloud-enabled and data-driven, able to deliver citizen-centric outcomes now and into the future.

"Extracting value from data is central to the digital transformation required for businesses to succeed in the decades to come. Buried in data are insights that reveals what your customers need and how they want to receive it, how sales, manufacturing, distribution, and other aspects of business operations are functioning, what risks are arising to threaten the business, and more. That insight empowers your businesses to reach new customers, develop and deliver new products, to operate more efficiently and more effectively, and even to develop new business models. "

Discover how HPE is responding to the massive growth in enterprise data with intelligent storage. Data helps enterprises find new ways to reach and serve customers to grow profitability, but only when it is available at the right place and the right time. The growing complexity of managing and securing data prevents businesses from gaining its full value. Hewlett Packard Enterprise delivers the world’s most intelligent storage for the hybrid cloud world by providing storage that is driven by artificial intelligence, built for the cloud, and delivered as a service.

Managing infrastructure has always brought frustration, headaches, and wasted time. That’s because IT professionals have to spend their days, nights, and weekends dealing with problems and manually tuning their infrastructure. Traditional monitoring and support are too far removed from infrastructure, resulting in an endless cycle of break-fix-tune-repeat. Infrastructure powered by artificial intelligence, however, can overcome the limitations of humans and traditional tools. This white paper explores how HPE InfoSight with its recommendation engine paves the path for an autonomous data center your Hybrid Cloud World.

The bar for success is rising in higher education.  University leaders and IT administrators are aware of the compelling benefits of digital transformation overall—and artificial intelligence (AI) in particular. AI can amplify human capabilities by using machine learning, or deep learning, to convert the fast-growing and plentiful sources of data about all aspects of a university into actionable insights that drive better decisions. But when planning a transformational strategy, these leaders must prioritize operational continuity. It’s critical to protect the everyday activities of learning, research, and administration that rely on the IT infrastructure to consistently deliver data to its applications.

Powerful IT doesn’t have to be complicated. Hyperconvergence puts your entire virtualized infrastructure and advanced data services into one integrated powerhouse. Deploy HCI on an intelligent fabric that can scale with your business and you can hyperconverge the entire IT stack. This guide will help you: Understand the basic tenets of hyperconvergence and the software-defined data center; Solve for common virtualization roadblocks; Identify 3 things modern organizations want from IT; Apply 7 hyperconverged tactics to your existing infrastructure now.

"IT needs to reach beyond the traditional data center and the public cloud to form and manage a hybrid connected system stretching from the edge to the cloud, wherever the cloud may be. We believe this is leading to a new period of disruption and development that will require organizations to rethink and modernize their infrastructure more comprehensively than they have in the past. Hybrid cloud and hybrid cloud management will be the key pillars of this next wave of digital transformation – which is on its way much sooner than many have so far predicted. They have an important role to play as part of a deliberate and proactive cloud strategy, and are essential if the full benefits of moving over to a cloud model are to be fully realized."

Accelerate Digital Transformation. Make data center infrastructure cloud-ready. Optimize storage across clouds and data centers.

Over the past decade, businesses have made tremendous investments in information capture, storage, and analysis. But having a wealth of data isn’t the same as having valuable information. Data Virtualization products and services provide a way to turn your data stores into valuable information that improves decision-making and propels experimentation and innovation. This paper explains: What data virtualization is and its benefits When and when not to use data virtualization How to deploy data virtualization to benefit your business How to unlock the value of your SAP data

MANUFACTURING: AN INDUSTRY DRIVEN BY DISRUPTION A leading manufacturer today can be an also-ran next year. Disruption is the new normal. Maintain the status quo at your peril because no manufacturer is safe from: •? Innovative new products that can radically shift demand •? Falling prices that relentlessly pressure costs •? Dynamic business models where yesterday’s partner can become tomorrow’s competitor Turning disruption into your advantage requires continuous innovation and optimization, driven by data.

Are you considering data virtualization for your organization today? In this paper you will learn 10 core truths about data virtualization and gain essential knowledge for overcoming analytic data bottlenecks and driving better outcomes.

2x faster time to market, single view of a client, improved data quality

Cloetta is a leading confectionary company in the Nordic region of Europe and The Netherlands. Cloetta manufactures and markets confectionary, chocolate products, nuts, pastilles, chewing gum, and pick and mix concepts. Its products are in more than 40 markets worldwide, with Sweden, Finland, Denmark, Norway, the Netherlands, Germany, and the UK as the main markets.

In an industry driven to deliver alpha, where might financial services firms find opportunities when investing in application innovation? The answer is data. Every financial services firm understands the importance of data. More is better. Sooner is better. Accessing it, understanding it, and taking advantage of it before the competition is better. That’s how data delivers alpha.

Over the past decade, businesses have made tremendous investments in information capture, storage, and analysis. But having a wealth of data isn’t the same as having valuable information. TIBCO® Data Virtualization products and services provide a way to turn your data stores into valuable information that improves decision-making and propels experimentation and innovation. This paper explains: •?What data virtualization is and its benefits •?When and when not to use data virtualization •?How to deploy data virtualization to benefit your business

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 no 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.

By processing real-time data from machine sensors using arti?cial 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.

MANUFACTURING: AN INDUSTRY DRIVEN BY DISRUPTION A leading manufacturer today can be an also-ran next year. Disruption is the new normal. Maintain the status quo at your peril because no manufacturer is safe from: •? Innovative new products that can radically shift demand •? Falling prices that relentlessly pressure costs •? Dynamic business models where yesterday’s partner can become tomorrow’s competitor Turning disruption into your advantage requires continuous innovation and optimization, driven by data.

Whether you know it as Industry 4.0, the 4th Industrial Revolution, or Smart Industry, Manufacturing is going through a deep transformation, with changes that are centered around digitalization. While most industries are already on this digitalization path, the disruption is more visible and pronounced in manufacturing because it is expanding virtual data and processes into environments that have been fundamentally about physical products. This transformation has already started, and its impact is expected to be massive. Technical, economic, and social changes are expected across the whole manufacturing ecosystem, with jobs shifting from offshoring back to nearshoring. Strong technology elements driving this digital revolution include 3D printing, robotizing and automation, smart factory with IoT and machine learning, and supply chain digitization. Their impact is profound.

Over the past decade, businesses have made tremendous investments in information capture, storage, and analysis. But having a wealth of data isn’t the same as having valuable information. Data Virtualization products and services provide a way to turn your data stores into valuable information that improves decision-making and propels experimentation and innovation. This paper explains: •? What data virtualization is and its benefits •? When and when not to use data virtualization •? How to deploy data virtualization to benefit your business •? How to unlock the value of your SAP data