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.
"Security analysts have a tougher job than ever. New vulnerabilities and security attacks used to be a monthly occurrence, but now they make the headlines almost every day. It’s become much more difficult to effectively monitor and protect all the data passing through your systems. Automated attacks from bad bots that mimic human behavior have raised the stakes, allowing criminals to have machines do the work for them.
Not only that, these bots leave an overwhelming number of alert bells, false positives, and inherent stress in their wake for security practitioners to sift through. Today, you really need a significant edge when combating automated threats launched from all parts of the world.
Where to start? With spending less time investigating all that noise in your logs."
Published By: Gigamon
Published Date: Sep 03, 2019
Network performance and security are vital
elements of any business. Organisations are
increasingly adopting virtualisation and cloud
technologies to boost productivity, cost savings
and market reach.
With the added complexity of distributed
network architectures, full visibility is necessary
to ensure continued high performance and
security. Greater volumes of data, rapidlyevolving threats and stricter regulations have
forced organisations to deploy new categories
of security tools, e.g. Web Access Firewalls
(WAFs) or Intrusion Prevention Systems (IPS).
Yet, simply adding more security tools may not
always be the most efficient solution.
Published By: BehavioSec
Published Date: Oct 04, 2019
In this case study, a large enterprise with an increasing amount
of off-site work from both work-related travel and a fast-growing
remote workforce, is faced with a unique challenge to ensure
their data security is scalable and impenetrable. Their data access
policies rely on physical access management provided at the
company offices and do not always provide off-site employees
with the ability to complete work-critical tasks. Legacy security
solutions only add burden to productivity, sometimes causing
employees to ignore security protocols in order to simply
complete their work. Upon evaluating security vendors for a
frictionless solution, they selected BehavioSec for its enterprise-grade capabilities with on-premise deployment and integration
with existing legacy risk management systems.
As an insurer, the challenges you face today are unprecedented. Siloed and heterogeneous existing systems make understanding what’s going on inside and outside your business difficult and costly. Your systems weren’t set up to take advantage of, or even handle, the volume, velocity, and variety of new data streaming in from the internet of things, sensors, wearables, telematics, weather, social media, and more. And they weren’t designed for heavy human interaction. Millennials demand immediate information and services across digital channels. Can your systems keep up?
Big Data and analytics workloads represent a new frontier for organizations. Data is being collected from sources that did not exist 10 years ago. Mobile phone data, machine-generated data, and website interaction data are all being collected and analyzed. In addition, as IT budgets are already under pressure, Big Data footprints are getting larger and posing a huge storage challenge. This paper provides information on the issues that Big Data applications pose for storage systems and how choosing the correct storage infrastructure can streamline and consolidate Big Data and analytics applications without breaking the bank.
Continuous data availability is a key business continuity requirement for storage systems. It ensures protection against downtime in case of serious incidents or disasters and enables recovery to an operational state within a reasonably short period. To ensure continuous availability, storage solutions need to meet resiliency, recovery, and contingency requirements outlined by the organization.
Published By: IBM APAC
Published Date: Sep 30, 2019
Companies that are undergoing a technology-enabled business strategy such as digital transformation urgently need modern infrastructure solutions. The solutions should be capable of supporting extreme performance and scalability, uncompromised data-serving capabilities and pervasive security and encryption.
According to IDC, IBM’s LinuxONE combines the advantages of both commercial (IBM Z) and opensource (Linux)systems with security capabilities unmatched by any other offering and scalability for systems-of-record workloads. The report also adds LinuxONE will be a good fit for enterprises as well as managed and cloud service provider firms.
Read more about the benefits of LinuxONE in this IDC Whitepaper.
Every company markets to consumers differently. From call centers to emails to apps and aggregator sites, orchestrating a relationship marketing strategy requires a bespoke collection of marketing technologies. Marketers have the budgets to spend on CRM, email, mobile and data management, but fitting these capabilities together and ensuring they work with legacy business systems is not easy.
A recent survey of CIOs found that over 75% want to develop an overall information strategy in the next three years, yet over 85% are not close to implementing an enterprise-wide content management strategy. Meanwhile, data runs rampant, slows systems, and impacts performance. Hard-copy documents multiply, become damaged, or simply disappear.
Data pipelines are a reality for most organizations. While we work hard to bring compute to the data, to virtualize and to federate, sometimes data has to move to an optimized platform. While schema-on-read has its advantages for exploratory analytics, pipeline-driven schema-on-write is a reality for production data warehouses, data lakes and other BI repositories.
But data pipelines can be operationally brittle, and automation approaches to date have led to a generation of unsophisticated code and triggers whose management and maintenance, especially at-scale, is no easier than the manually-crafted stuff. But it doesn’t have to be that way. With advances in machine learning and the industry’s decades of experience with pipeline development and orchestration, we can take pipeline automation into the realm of intelligent systems. The implications are significant, leading to data-driven agility while eliminating denial of data pipelines’ utility and necessity.
To learn more, join us fo
One of the most frustrating aspects of the measurement of severe pyroshock events is the acceleration offset that almost invariably occurs. Dependent on its magnitude, this can result in large, low-frequency errors in both shock response spectra (SRS) and velocity-based damage analyses.
Fortunately, recent developments in accelerometer technology, signal conditioning, and data acquisition systems have reduced these errors significantly. Best practices have been demonstrated to produce offset errors less than 0.25% of Peak-Peak value in measured near-field pyrotechnic accelerations: a remarkable achievement.
This paper will discuss the sensing technologies, including both piezoelectric and piezoresistive, that have come together to minimize these offsets. More important, it will document the many other potential contributors to these offsets. Included among these are accelerometer mounting issues, cable and connector sources, signal conditioning amplitude range/bandwidth, and digitizi
In the broadening data center cost-saving and energy efficiency discussion, data center physical infrastructure preventive maintenance (PM) is sometimes neglected as an important tool for controlling TCO and downtime. PM is performed specifically to prevent faults from occurring. IT and facilities managers can improve systems uptime through a better understanding of PM best practices.
"Cloud-based predictive analytics platforms are a relatively new phenomenon, and they go far beyond
the remote monitoring systems of a prior generation. Three key features differentiate cloud-based
predictive analytics — data sharing, scope of monitoring, and use of artificial intelligence/machine
learning (AI/ML) to drive autonomous operations. To help familiarize the uninitiated with specifically
what types of value these systems can drive, IDC discusses them at some length in this white paper."
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.
Businesses who have lived through the evolution of the digital age are well aware that we’ve
experienced a generational shift in technology. The rise of software as a service (SaaS),
cloud, mobile, big data, the Internet of Things (IoT), social media, and other technologies
have disrupted industries and changed customers’ expectations. In our always-on, buy
anything anywhere world, customers want their shopping experiences to be personalized,
dynamic, and convenient.
As a result, many businesses are trying to reinvent themselves. Success in a fast-paced
economy depends on continually adapting and innovating. Companies have to move quickly
to keep up; there’s no time for disjointed technologies and old systems that don’t serve the
customer-obsessed mentality needed to thrive in the digital age.
Whether your company has been selling online for 20 minutes or 20 years, you are
undoubtedly familiar with the PCI DSS (Payment Card Industry Data Security Standard). It
requires merchants to create security management policies and procedures for safeguarding
customers’ payment data.
Originally created by Visa, MasterCard, Discover, and American Express in 2004, the PCI DSS
has evolved over the years to ensure online sellers have the systems and processes in place
to prevent a data breach.
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.
EMC to 3PAR Online Import Utility leverages storage federation and Peer Motion to migrate data from EMC Clariion CX4 and VNX systems to HP 3PAR StoreServ. In this ChalkTalk, HPStorageGuy Calvin Zito gives an overview.
Published By: HPE Intel
Published Date: Mar 15, 2016
Are you asking the right questions about your data center?
• Would you like your IT infrastructure to be faster and more agile?
• Would you like to improve your cost structure?
• Do you plan to adopt a hybrid IT infrastructure and become a service provider for your business?
To adapt to and compete in our ultra-connected, data-driven, and digital world, you need to effectively plan, build, integrate, and manage your facilities, platforms, and systems to efficiently align your infrastructure resources.
The increasing demands of application and database workloads, growing numbers of virtual machines, and more powerful processors are driving demand for ever-faster storage systems. Increasingly, IT organizations are turning to solid-state storage to meet these demands, with hybrid and all-flash arrays taking the place of traditional disk storage for high performance workloads.
Download this white paper to learn how you can get the most from your storage environment.
In midsize and large organizations, critical business processing continues to depend on relational databases including Microsoft® SQL Server. While new tools like Hadoop help businesses analyze oceans of Big Data, conventional relational-database management systems (RDBMS) remain the backbone for online transaction processing (OLTP), online analytic processing (OLAP), and mixed OLTP/OLAP workloads.
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
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.
Published By: Freshdesk
Published Date: Aug 15, 2016
When 76% of consumers say they view customer service as the true test of how much a company values them, you have to make sure that your strategy, and tool, are top notch. Here's a collection of best practices, drawn from our conversations with customers, to help you improve your agents' productivity and win customer love.
In this whitepaper, we detail how you can
- Provide your agents with complete context by pulling data from your third party systems into your helpdesk
- Reduce ticket volume and help customers help themselves by setting up a knowledge base
- Automatically assign tickets to the right team with ease thus reducing your agent's workload and many more!