Earlier this year, Schneider Electric launched its preconfigured edge datacenter resources with its SmartBunker and SmartShelter products. In developing these products, Schneider closely examined the requirements for successful, secure, rapid edge deployments in support of the explosion of edge data. The result is a standardized solution that can be customized as required and deployed virtually anywhere.
Published By: Panduit
Published Date: Apr 21, 2015
DCIM tools support the diverse needs of colocation providers, large enterprises/managed service providers and midsize enterprises. This research provides data center managers with insight into seven DCIM tools and their ability to support these three uses cases.
"By asking the right questions as you design your hybrid cloud, you maximize your chances for success. What do you want to achieve? Identifying your goals will help you zero in on the biggest pain points and attack those first.
Learn how to increase the effectiveness of your hybrid cloud with a focus on data strategies for running hybrid applications.
Use this guide to:
Discover key Differences between enterprise IT environments and the public cloud.
Learn if you can support enterprise applications in the public cloud.
See if you can support cloud-native applications on-premises.
Understand if you can protect data cross your hybrid cloud."
Getting complex decisions right across complicated operational networks is the key to optimum performance. Find out how one of the UK’s biggest bus operators is using data and analytics to make better decisions and optimise the use of resources across their network.
Read this story to discover:
• how data and analytics can transform operational performance
• the benefits of using decision-support tools in the middle office
• key lessons for getting your plans for digital transformation right.
Changing attitudes to data privacy leave many firms in a precarious position. When there is so much regulatory variation in different markets, how do firms balance their responsibility for customers’ data with maximising value from that data?
Listen now to discover:
• The current state of play for data privacy – understanding what your customers want and what the regulators want
• How to lay solid foundations to help you adapt to the changing landscape
• How to ensure your privacy strategy supports growth.
Digital transformation is a business enabler, one that also translates to an increase in the demand for greater storage capacity and performance. This increasing demand requires IT organizations to re-examine their data storage strategy as the growth in capacity doesn’t align with a shrinking IT budget. To support the growth of the business and remain competitive in a global digital market, CIOs are asked more than ever to “do more with less,” while improving performance and availability at the same time.
Databases represent the backbone of most organizations. And Oracle databases in particular have become the mainstream data repository for most mission-critical environments. Some of the largest companies and organizations in the world rely on Oracle databases to store their most important data. The biggest challenge organizations face relative to an Oracle database is to maintain these databases at optimum performance and reliability without breaking the bank. This paper discusses the storage capabilities customers should consider when choosing storage to support an Oracle database environment.
Published By: IBM APAC
Published Date: Sep 30, 2019
Digital technology is changing the financial services industry rapidly with automated process, AI insights, customized experiences, new operating models and next generation applications. In such a scenario how should banks innovate and stay ahead of the game?
This e-book will provide you the best strategies and recommendations for modernizing your IT infrastructure and operations. You’ll learn how to lead disruption and manage rapid change for your bank, its operations and its customers.
Here are the five key takeaways:
• Personalize customer experiences by maximizing your data
• Borrow strategies from open banking and new business models
• Step up your security game
• Drive innovation from the inside out
• Design an agile infrastructure to support participation in new digital marketplaces
Find out more in the e-book.
Published By: Anaplan
Published Date: Sep 11, 2019
Prior to implementing the Anaplan platform, RSA Group had a tedious spreadsheet-based, nine-month planning cycle riddled with data quality issues, which was compounded by siloed, functional fragmentation across the company. As a result, the finance team was spending a significant amount of time cleaning data rather than analyzing it to provide insight to key stakeholders throughout the business.
Using the Anaplan platform, RSA Group reduced their financial planning process from nine months to five months. The workforce planning team experienced a 50% improvement in productivity. The business can now own their connected plans, resulting in improved decision support to business users, as well as improved customer service and financial results.
Marketing automation is a pay-off, not a trade-off, in experience.
Many marketers today say that current content demands outpace their existing automation tools. But investing in a full marketing automation platform can be a tough sell. Marketing automation makes it easier to create and deliver exceptional customer experiences. But executives and stakeholders will want to know what automation can do for every team in their organization.
? Data that proves automation saves time and money across your business
? How automation simplifies growing content demands and delivers at scale
? Why automation is effective in supporting customer lifecycle marketing efforts
Why data-driven businesses stand out from the crowd.
Why Should the Target Audience Care?
Enterprises need to become more data-driven by using more mature analytics tools to stand out from the crowd
Smart, effective customer analytics tools helps organizations reap the rewards of increased customer satisfaction and brand loyalty. Neglecting advances in customer analytics technology could seriously impact a company's ability to compete in the future marketplace. Where do your customers and prospects sit on the customer analyticsmaturity scale? Are they leaders or are they laggards?
Read "Customer Analytics: The 20 Attributes that Lead to Business Success" for insights into:
• the key drivers needed within an organisation that help grow customer analytics maturity
• why companies using paid analytics solutions experience more tangible benefits than those using free analytics
• how to distinguish customer analytics leaders from laggards
Like the oxygen we breathe, journey analytics brings life to the customer behind those devices, over time getting to know their favorite pastry choice, when they’re most likely to buy gas, and how long they stay online while in the station’s café.
WHY SHOULD THE TARGET AUDIENCE CARE?
Business struggle to gain a holistic customer view — the skills to identify actionable insights from multichannel data are in short supply. If they could gain a holistic view of customer attributes and behaviors, they could make sure they get the right content at the right time.
If you want your customers to enjoy seamless, personalized experiences, you need to treat them like people. That means marketing to the person — not the device. When you know a customer’s interests, wants, and needs — perhaps even before they do — you’ve succeeded at becoming a true experience business. For some, this may require a shift from analytics as a tool to analytics as a way of life. It may also m
This guide provides tips on how to filter through targeted solution marketing to make an informed, objective assessments when selecting the best commerce solution for you. Key points include: - Finding a platform that is flexible, agile, scalable. - The benefits of employing a single platform for all commerce use cases. - Leveraging customer data for commerce strategies - Employing an ecosystem of support. - Focusing on long term value over the initial costs. Every organization is at a different point in their ability to deliver frictionless shopping experiences that customers demand. Follow these guidelines to position your business for strategic growth.
Imperva, an APN Security Competency Partner, can help protect your application workloads on AWS with the Imperva SaaS Web Application Security
platform. The Imperva high-capacity network of globally distributed security services protects websites against all types of DDoS threats, including networklevel Layer 3 and Layer 4 volumetric attacks—such as synchronized (SYN) floods and User Datagram Protocol (UDP) floods—and Layer 7 application-level
attacks (including the OWASP Top 10 threats) that attempt to compromise application resources. Harnessing real data about current threats from a global
customer base, both the Web Application Firewall (WAF) and DDoS protection, incorporate an advanced client classification system that blocks malicious
traffic without interfering with legitimate users. Enterprises can easily create custom security rules in the GUI to enforce their specific security policy. In
addition, this versatile solution supports hybrid environments, allowing you to manage th
Why your data catalog won’t deliver significant ROI
According to Gartner, organizations that provide access to a curated catalog of internal and external data assets will derive twice as much business value from their analytics investments by 2020 than those that do not.
That’s a ringing endorsement of data catalogs, and a growing number of enterprises seem to agree. In fact, the global data catalog market is expected to grow from US$210.0 million in 2017 to US$620.0 million by 2022, at a Compound Annual Growth Rate (CAGR) of 24.2%.
Why such large and intensifying demand for data catalogs? The primary driver is that many organizations are working to modernize their data platforms with data lakes, cloud-based data warehouses, advanced analytics and various SaaS applications in order to grow profitable digital initiatives. To support these digital initiatives and other business imperatives, organizations need more reliable, faster access to their data.
However, modernizing data plat
Published By: Cisco EMEA
Published Date: Nov 13, 2017
Big data and analytics is a rapidly expanding field of information technology. Big data incorporates technologies and practices designed to support the collection, storage, and management of a wide variety of data types that are produced at ever increasing rates. Analytics combine statistics, machine learning, and data preprocessing in order to extract valuable information and insights from big data.
Published By: Cisco EMEA
Published Date: Nov 13, 2017
The HX Data Platform uses a self-healing architecture that implements data replication for high availability, remediates hardware failures, and alerts your IT administrators so that problems can be resolved quickly and your business can continue to operate. Space-efficient, pointerbased snapshots facilitate backup operations, and native replication supports cross-site protection. Data-at-rest encryption protects data from security risks and threats. Integration with leading enterprise backup systems allows you to extend your preferred data protection tools to your hyperconverged environment.
In today’s dynamic business environment where applications and data are accessed outside of traditional corporate boundaries, IT must embrace the needs of both the business and an ever present mobile workforce. From business agility to employee efficiency, the never-ending quest for improved productivity is found in organisations across industries. And throughout it all, IT is charged with maintaining an organisation’s infrastructure, and security and access, while working to support initiatives that keep the business agile and growing, and employees productive.
New data sources are fueling innovation while stretching the limitations of traditional data management strategies and structures. Data warehouses are giving way to purpose built platforms more capable of meeting the real-time needs of a more demanding end user and the opportunities presented by Big Data. Significant strategy shifts are under way to transform traditional data ecosystems by creating a unified view of the data terrain necessary to support Big Data and real-time needs of innovative enterprises companies.
The technology market is giving significant attention to Big Data and analytics as a way to provide insight for decision making support; but how far along is the adoption of these technologies across manufacturing organizations? During a February 2013 survey of over 100 manufacturers we examined behaviors of organizations that measure effective decision making as part of their enterprise performance management efforts. This Analyst Insight paper reveals the results of this survey.
Published By: HPE Intel
Published Date: Mar 14, 2016
The ever-rising tide of demands on IT organizations is creating constant pressure on their leaders to upgrade or replace their outmoded legacy systems with new infrastructure technologies that will allow them to keep pace with the speed of business. It is no longer sufficient to manage basic business applications and resources such as ERP, email, and silos of heterogeneous data. The bar has been raised higher than ever, and the role of IT is evolving to meet it. As a result, IT must support applications and services that make it possible for the business to provide new, diverse customer experiences while generating expanding revenues via the emergent crown jewels of business: big data, cloud, and mobility.
Published By: HPE Intel
Published Date: Mar 15, 2016
To free up staff resources to focus on strategic business initiatives, many IT leaders are considering engaging a partner to handle ongoing data center maintenance and optimization. But, too often, data center management services fall short of expectations. Standard care services may be limited in scope, and may not support the range of legacy hardware already in the data center. Conversely, complex managed or outsourced services may involve a costly, fully-customized engagement, in which costs are unpredictable, and control is wrested away from the enterprise. Finally—and perhaps most importantly—many data center management service providers seem to lack the innovative spark that will ensure continuous improvement to data center operations.
Download this white paper to learn more about these notable findings from IDC's study of HP DC Service customers.
HP Datacenter Care Service can reduce the costs of delivering mission-critical business processes by 23%.
HP's Datacenter Care Service solution is able to reduce downtime by 88%, adding five hours of uptime annually to each internal user and $835,000 in revenue to each organization.
Increasingly, x86 servers will need a higher level of operational support.
On average, companies in this study were able to recognize an average ROI of 456% and pay back the initial investment in HP DC Service in six months.
Today’s data centers are expected to deploy, manage, and report on different tiers of business applications, databases, virtual workloads, home
directories, and file sharing simultaneously. They also need to co-locate multiple systems while sharing power and energy. This is true for large as
well as small environments. The trend in modern IT is to consolidate as much as possible to minimize cost and maximize efficiency of data
centers and branch offices. HPE 3PAR StoreServ is highly efficient, flash-optimized storage engineered for the true convergence of block, file,
and object access to help consolidate diverse workloads efficiently. HPE 3PAR OS and converged controllers incorporate multiprotocol support
into the heart of the system architecture
Today’s leading-edge organizations differentiate themselves through analytics to further their competitive advantage by extracting value from all their data sources. Other companies are looking to become data-driven through the modernization of their data management deployments. These strategies do include challenges, such as the management of large growing volumes of data. Today’s digital world is already creating data at an explosive rate, and the next wave is on the horizon, driven by the emergence of IoT data sources. The physical data warehouses of the past were great for collecting data from across the enterprise for analysis, but the storage and compute resources needed to support them are not able to keep pace with the explosive growth. In addition, the manual cumbersome task of patch, update, upgrade poses risks to data due to human errors. To reduce risks, costs, complexity, and time to value, many organizations are taking their data warehouses to the cloud. Whether hosted lo
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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