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.
AA Ireland specializes in home, motor, and travel insurance and provides emergency rescue for people in their homes and on the road, attending to over 140,000 car break downs every year, 80% of which are fixed on-the-spot.
“In each of the last five years, the industry lost a quarter billion in motor insurance," says Colm Carey, chief analytics officer. "So, there's a huge push for new data, models, ways to segment and pick profitable customer types—and get a lot more sophisticated. Our goal is to optimize pricing, understand the types of customers we're bringing, and the types we're trying to attract. We would like to tie that across the business. Marketing will run a campaign, trying to attract a lot of customers, but maybe they're not the right type. "We wanted to step away from industry standard software and go with something that was powerful and future-proof. In 2016, we had an opportunity to analyze all software.
We chose the TIBCO® System of Insight with TIBCO BusinessWorks™ i
Today, you can improve product quality and gain better control of the entire
manufacturing chain with data virtualization, machine learning, and advanced
data analytics. With all relevant data aggregated, analyzed, and acted on, sensors,
devices, people, and processes become part of a connected Smart Factory
•? Increased uptime, reduced downtime
•? Minimized surplus and defects
•? Better yields
•? Reduced cost due to better quality
•? Fewer deviations and less non-conformance
Over the past decade there has been a major transformation in the manufacturing industry. Data has enabled a paradigm shift, with real-time IoT sensor data and machine learning algorithms delivering new insights for process and product optimization.
Smart Manufacturing, also known as Industry 4.0, has laid the groundwork for the next industrial revolution. Using a smart factory system, all relevant data is aggregated, analyzed, and acted upon.
We call this Manufacturing Intelligence, which gives decision-makers a competitive edge to:
Digitize the business
Survive digital disruption
Watch this webinar to understand use cases and their underlying technology that helped our customers become smart manufacturers.
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?
The stakes are high in today's data centers. Organisations have access to massive quantities of data promising valuable insights and new opportunities for business. But data center architects need to rethink and redesign their system architectures to ingest, store and process all that information. Similarly, application owners need to assess how they can process data more effectively. Those who don't re-architect might find themselves scrambling just to keep from being drowned in a data deluge.
Mountains of data promise valuable insights and innovation for businesses that rethink and redesign their system architectures. But companies that don’t re-architect might find themselves scrambling just to keep from being buried in the avalanche of data.
The problem is not just in storing raw data, though. For businesses to stay competitive, they need to quickly and cost-effectively access and process all that data for business insights, research, artificial intelligence (AI), and other uses. Both memory and storage are required to enable this level of processing, and companies struggle to balance high costs against limited capacities and performance constraints.
The challenge is even more daunting because different types of memory and storage are required for different workloads. Furthermore, multiple technologies might be used together to achieve the optimal tradeoff in cost versus performance.
Intel is addressing these challenges with new memory and storage technologies that emp
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.
Even after decades of industry and technology advancements, there still is no universal, integrated storage solution that can reduce risk, enable profitability, eliminate complexity and seamlessly integrate into the way businesses operate and manage data at scale? To reach these goals, there are capabilities that are required to achieve the optimum results at the lowest cost. These capabilities include availability, reliability, performance, density, manageability and application ecosystem integration? This paper outlines a better way to think about storing data at scale—solving these problems not only today, but well into the future?
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.
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.
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.
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.
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.
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
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.
Learn how CIOs can set up a system infrastructure for their business to get the best out of Big Data. Explore what the SAP HANA platform can do, how it integrates with Hadoop and related technologies, and the opportunities it offers to simplify your system landscape and significantly reduce cost of ownership.
Bandwidth. Speed. Throughput. These terms are not interchangeable. They are
interrelated concepts in data networking that help measure capacity, the time
it takes to get from one point to the next and the actual amount of data
you’re receiving, respectively.
When you buy an Internet connection from Spectrum Enterprise, you’re buying
a pipe between your office and the Internet with a set capacity, whether it is
25 Mbps, 10 Gbps, or any increment in between. However, the bandwidth we
provide does not tell the whole story; it is the throughput of the entire system
that matters. Throughput is affected by obstacles, overhead and latency,
meaning the throughput of the system will never equal the bandwidth of your
The good news is that an Internet connection from Spectrum Enterprise is
engineered to ensure you receive the capacity you purchase; we proactively
monitor your bandwidth to ensure problems are dealt with promptly, and
we are your advocates across the Internet w
"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."