This white paper from Server Technology outlines the current state of Data Center Diversity, and offers guidance for cutting through
the fog where it comes to how power and equipment densities vary within a data center and for planning how to handle the varying
densities at the data center rack.
You’ve heard the stories: a large Internet company exposing all three billion of its customer accounts; a major hotel chain compromising five hundred million customer records; and one of the big-three credit reporting agencies exposing more than 143 million records, leading to a 25 percent loss in value and a $439 million hit. At the time, all of these companies had security mechanisms in place. They had trained professionals on the job. They had invested heavily in protection. But the reality is that no amount of investment in preventative technologies can fully eliminate the threat of savvy attackers, malicious insiders, or inadvertent victims of phishing. Breaches are rising, and so are their cost. In 2018, the average cost of a data breach rose 6.4 percent to $3.86 million, and the cost of a “mega breach,” those defined as losing 1 million to 50 million records, carried especially punishing price tags between $40 million and $350 million.2 Despite increasing investment in security
Research shows that legacy ERP 1.0 systems were not designed for usability and insight. More than three quarters of business leaders say their current ERP system doesn’t meet their requirements, let alone future plans 1. These systems lack modern best-practice capabilities needed to compete and grow. To enable today’s data-driven organization, the very foundation from which you are operating needs to be re-established; it needs to be “modernized”.
Oracle’s goal is to help you navigate your own journey to modernization by sharing the knowledge we’ve gained working with many thousands of customers using both legacy and modern ERP systems. To that end, we’ve crafted this handbook outlining the fundamental characteristics that define modern ERP.
Data centers are evolving. They are much more than the data storage facilities of the past—they are gateways to emerging markets and platforms from which businesses can expand their reach through greater connectivity. These evolutions require the deployment of secured IT platforms capable of supporting and treating a huge amount of data generated in real time. Learn how Interxion partnered with Schneider Electric to meet the needs of its customers and stay relevant in the rapidly evolving colocation market.
Published By: Workable
Published Date: Oct 09, 2019
In every organization, the recruiting process generates data: how long it took to fill one role, how many candidates progressed to the final hiring stage or how many comments hiring teams exchanged until they made a hire. Through tracking metrics, you can get tangible evidence of how successful your recruiting process is, rather than relying on intuition.
In this guide, we put together everything you need to know to start making the most out of your recruiting data. You’ll find:
A list of common recruiting metrics to track.
A detailed look into five of the most important KPIs.
How to collect data and track metrics consistently over time.
Supply chain managers are increasingly leveraging location intelligence and location data to raise visibility throughout their whole logistics process and to optimize their delivery routes. Leveraging this data requires an ever-more-robust technology stack.
As supply chain technology stacks become more complex, diverse and defined by legacy system integrations, Application Program Interfaces (APIs) are becoming essential to making stacks scale, allowing supply chain managers to better meet the demands of the new generation of consumers.
Innovative location APIs provide supply chain stacks and applications with:
Real-time data implementation
Introducing new technology into an organization can sometimes be daunting. As one of the world’s leading location platforms, HERE shares insights and tips to streamline the supply chain technology integration across the whole organization.
Despite the greater frequency of extreme weather events occurring around the globe, freight still has to be delivered on time and on a year-round basis. Truck drivers often find themselves driving through rain, snow, sleet, hail, fog, ice, thunderstorms, tornadoes and high winds. While drivers aren't generally expected to stick to pre-planned routes in extreme weather, fleet managers don’t really have the capacity to outline every possible alternate route in anticipation of a future hazardous weather scenario.
Data-driven route planning saves fuel, prevents accidents and improves ETAs, which is why many logistics companies are turning to advanced supply chain optimization solutions with real-time weather alerts and rerouting functionalities. Today, tech-savvy fleet managers are looking for exactly this type of tech innovations to provide them with a sharp competitive edge in an already crowded industry such as long-haul logistics.
As one of the world's leading location platforms, HER
HR’s most confident leaders are using data, predictive insights and AI to transform HR into a new value driver. Discover what it takes to become an HR transformation trailblazer.
Read this report to discover:
• how trailblazers are exploiting uncertainty to drive new competitive advantage
• which technologies HR leaders are investing in
• what it means to integrate human and digital labour in a collaborative workplace
• six priorities for forward-looking HR leaders.
As Italy’s businesses grew increasingly vulnerable to the threat of ransomware, data breaches, and other malicious malware attacks, service provider Telecom Italia sought an innovative solution to effectively and efficiently protect the network and data of its business users.
In this case study, you’ll read about how Italy’s largest service provider partnered with Cisco Umbrella to increase value for customers and accelerate their revenues with cloud security.
Discover How Cloud-based Billing Delivers Transformation
Enterprise leaders and companies of all sizes are leveraging digital transformation through disruptive technologies like the Internet of Things, AI, business intelligence and big data.
This eBook demonstrates 5 strategies for leading the charge for change within your business. Discover how to quickly leverage digital transformation in your technology stack and monetize it quickly with cloud-based billing.
Download this eBook to explore how the right solution can help you:
• Launch product innovations quickly
• Monetize IoT and increase revenue
• Automate billing to improve customer retention
• Leverage the cloud to reduce costs
Adapting today can mean the difference between success and obsolescence. With the right billing solution your business can thrive in these challenging times.
Discover how today!
As the first major memory and storage breakthrough in 25 years, Intel Optane technology combines industry-leading low latency, high endurance, QoS, and high throughput that allows the creation of solutions to remove data bottlenecks, and unleash CPU utilization. With Intel Optane technology, data centers can deploy bigger and more affordable datasets to gain new insights from large memory pools.
Here are just ten way Intel Optane technology can make a difference to your business.
To find out more download this whitepaper today.
Brands are seeing tremendous disruption in the areas of retail, consumer goods, and travel/ hospitality. To stay on pace with the changing needs and demands of these industries, you need to compete and thrive in new ways. Cognitive Enterprise is data-enabled, cloud-powered, transformational business. It doesn't see silos. It uses data to inform the next best step to improve processes spanning all areas of the business, including customer experience.
Brands are seeing tremendous disruption in the areas of retail, consumer goods, and travel/ hospitality. To stay on pace with the changing needs and demands of these industries, you need to compete and thrive in new ways. Cognitive Enterprise is data-enabled, cloud-powered, transformational business that breaks through organizational silos.
Data is the DNA of modern healthcare. As healthcare technology continues to evolve at a rapid pace, and patient data management and security evolve, emerging approaches for disease treatment and prevention—like precision medicine and healthcare content management—are becoming more necessary. Precision medicine is about moving from generic to more precise, population-focused diagnostics and treatment by factoring in data from patients’ genes, environment, lifestyle factors and family history, into clinical decision-making for earlier, more accurate diagnoses, and more effective treatment and prevention. Data is at the heart of enabling doctors and scientists to execute on this mission. Additionally, rapidly changing regulations throughout the world are affecting the management of all healthcare data. Infinidat removes data management barriers from this level of data interaction by removing isolated islands of storage and allowing much more data to reside on a single, high-performance, h
Big Data- und Analytik-Workloads bringen für Unternehmen neue Herausforderungen mit sich. Die erfassten Daten stammen aus Quellen, die vor zehn Jahren noch gar nicht existierten. Es werden Daten von Mobiltelefonen, maschinengenerierte Daten und Daten aus Webseiten-Interaktionen erfasst und analysiert. In Zeiten knapper IT-Budgets wird die Lage zusätzlich dadurch verschärft, dass die Big Data-Volumen immer größer werden und zu enormen Speicherproblemen führen.
Das vorliegende White Paper informiert über die Probleme, die Big Data-Anwendungen für Storage-Systeme mit sich bringen, sowie darüber, wie die Auswahl der richtigen Storage-Infrastruktur Big Data- und Analytik-Anwendungen optimieren kann, ohne das Budget zu sprengen.
While threat prevention continues to improve with the use of advanced techniques, adversaries are outpacing these advances requiring security teams to implement threat detection and response programs. Security teams are often addressing the process haphazardly, using disconnected point tools and manual processes that consume too many analysts and result in slow mean-time to detection and response. While EDR has enabled security teams to take important steps forward for detection and response, ultimately it can only look at the endpoints which limits the scope of threats that can be detected and if something is detected, limits the view of who and what is affected and thus, how best to respond. ESG therefore recommends looking beyond the endpoint and utilizing natively integrated security solutions across more than just one vector to improve detection and response times. The more data you can knit together, the more effective you can be to uncover the security incidents most dangerous to your organization.
Watch this webinar to learn about the value of XDR: connecting detection and response across multiple security layers. Dave Gruber, senior analyst at ESG, shares recent research and his views on the evolution of threat detection and response; making the case for expanding the capabilities and expectations of detection and response solutions. Wendy Moore, VP of Product Marketing, discusses Trend Micro’s own XDR strategy and the unique value that Trend Micro can bring to detection, investigation and response.
More data means more opportunities to discover powerful, actionable insights around customers, internal processes, and the broad market. Unfortunately, legacy IT architectures and approaches can block progressive analytics efforts.
That leaves a lot of room for improvement, and the learning and investment curve for starting in analytics can be steep. However, tending to three core steps will prove immensely helpful on this journey:
• Establishing an organizational foundation
• Mapping the data pipeline
• Transitioning analytics proofs of concept into production
Published By: Datastax
Published Date: Sep 27, 2019
In this white paper, you’ll learn about the three most important issues surrounding data management in the age of IoT. You'll also learn how DataStax Enterprise, built on Apache Cassandra™ and native to hybrid cloud environments, is paving the way for the future of data management. Download the white paper to learn more now.
Published By: Datastax
Published Date: Oct 21, 2019
A recent Gartner survey found that 80% of respondents using public cloud are using more than one cloud service provider (CSP). As databases move to the cloud, the database management service vendor landscape is shrinking, and data governance and integration are becoming more complex.
Are you ready for the impact of multicloud deployments on data and analytics strategies in your own organization?
This new Gartner report on multicloud and intercloud data management provides an impact appraisal along with recommendations for leaders planning to incorporate multiple CSPs into their data management strategies.
HR has never been more in the spotlight. So it’s never been more important to not just store your data, but use it to transform ways of working. This trend-led research report explores how HR leaders need to become data leaders, using connected data to drive innovation, productivity and growth. Discover insights from those leading the way, and delve into the links between transforming culture and significant growth.
Read our report for HR leaders now.
Envision this situation at a growing bank. Its competitive landscape demands an agile
response to evolving customer needs. Fortunately, analytically minded professionals in
different divisions are seeing results that positively affect the bottom line.
• A data scientist in the business development team analyzes data to create customized
• experiences for premium customers.
• A digital marketer tracks and influences the customer journey for prospective
• mortgage customers.
• A risk analyst builds risk models for the bank’s loan portfolios.
• A data analyst examines data about local customers.
• A technical architect defines a new system to protect bank data from internal and
• external cyberthreats.
• An application developer builds a new mobile app for online customer portfolio
Between them, these employees might be using more than a dozen packages for
analytics and data management.
AP automation is often described as low hanging fruit in the
garden of digital transformation. And for a good reason – the
barrier to entry is impressively low in terms of both cost and
effort needed to get up and running, particularly in comparison
to the implementation projects for other business applications.
Despite that fact, the value provided from AP automation is
comparably high. For such an easy implementation, the benefits
reach throughout an organization, beyond the walls of the AP
department, and are near-immediate from day one of using the
Standard benefits include:
- Immediate value from day one with an expected ROI within the first year
- Up to 95% truly touchless invoice processing with access to real-time cloud data for benchmarking and reporting
- Easy access to financial data, such as cash flow & accrual reporting, with full visibility and control of the AP process
This guide will help you kick-start your AP automation project by
defining the 6 steps to build a solid business case and gain the
internal approvals needed to get started.
Unternehmen, die Daten in den Mittelpunkt ihrer Gescha?ftsta?tigkeit stellen, erhalten bessere Einblicke und haben ein effektiveres Marketing. Datenzentriertheit hat in gro?ßeren Unternehmen Priorita?t, da sich zahlreiche Mo?glichkeiten fu?r sta?rker wissenschaftlich basierte Entscheidungsprozesse und Data-driven Marketing bieten. Es genu?gt jedoch nicht, wenn sich Unternehmen bei der Kundenanalyse lediglich auf Daten konzentrieren. Sie mu?ssen aus ihren Daten Einblicke gewinnen, um erstklassige Kundenerlebnisse anbieten und damit einen Wettbewerbsvorteil erzielen zu ko?nnen.
Published By: Iovation
Published Date: Aug 02, 2019
Account takeover. Synthetic identities. The security risks that financial services and online merchants face are endless, and the fraud landscape is changing dramatically. You not only need to be aware of how it’s evolving, but how to address these threats, protect your customers and your brand. iovation has analyzed data from our consortium made up of six billion devices seen, 55 million fraud reports, and thousands of fraud analysts to determine the most significant fraud trends and what you can do to combat them.
Published By: Infosys
Published Date: Sep 12, 2019
Digital-born companies have challenged large long-established businesses across industries with newer data, AI-powered experiences, products/services. Sustained competitive advantage through customer ownership and seller power has since been significantly challenged and overturned. Customers are taking to newer AI and data-powered products/services in their pursuit of better experiences and exponentially higher value. This has triggered every company to challenge status-quo, unleash themselves from very structure of industry and embrace transformation in the new world.
Data and AI have shaped themselves into a major economic force that is at the epicenter of transformation of every industry; through 3 horizons. Data, in the first horizon, was the key ingredient in driving more data-driven decisions. Data, in the second horizon, is playing a transformational role in the enterprises' pursuit of being Data Native Digital Native enterprise.
DatacenterDynamics is a brand of DCD Group, a global B2B media and publishing company that develops products to help senior professionals in the world's most ICT dependent organizations make risk-based infrastructure and capacity decisions.
Our portfolio of live events, online and print publishing, business intelligence and professional development brands are centred on the complexities of technology convergence. Operating in 42 different countries, we have developed a unique global knowledge and networking platform, which is trusted by over 30,000 ICT, engineering and technology professionals.
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