data system

The right ERP systems contains ease-of-use and value for manufacturers by providing consistent design and security features, reduced burden of manual data entry and simpfiled communications with other systems, partners and devices.

Attacks today incorporate increasingly sophisticated methods of social engineering and client-side software manipulation to exfiltrate data without detection. Some attackers leverage so-called spearphishing to entice employees to give up access information and spread their attacks to other enterprise systems; others use password crackers against compromised applications in order to gain further access rights to the network. The attackers might also set up channels for command and control communications with the compromised systems, as in the case of the Zeus or SpyEye bot infections.

As business requirements drive the need for a hybrid cloud strategy, companies must determine how best to run their applications and manage their data—whether in their private data center, near the cloud, or in the cloud. Hyperscale cloud providers offer excellent flexibility by allowing customers to buy raw resources in a consumption model by the hour. NetApp® has released a new way of deploying the cluster Data ONTAP® operating system that runs on hyperscale resources, that when combined with NetApp Private Storage for Cloud, offers customers superior choice in how they manage their cloud storage.

This brief explains SolidFire's solution to the modern data center's struggle that exists between applications and storage, and how it offers a distinct scale-up storage application that intelligently dictates system performance in real time.

This white paper is an overview of how SolidFire enables efficient data distribution and management to maximize system capacity without experiencing performance downgrades in an economical manner.

The truth is that they can get a lot worse – and no one is immune. Your company’s data has never been at greater risk. There is no doubt that 2014 was a dire year for many organizations, as they failed to properly protect their computer systems and the data held upon them. As if it wasn’t bad enough keeping on top of new zero-day vulnerabilities, targeted attacks, and revelations of state-sponsored espionage, users are potentially exposing companies’ most important data by not following best practices and using consumer-grade cloud services that aren’t built with enterprise needs in mind. An ever more mobile workforce wants to work on their files remotely but may be taking dangerous risks with sensitive corporate data at the same time. In this white paper, we detail some of the biggest computer security threats of the last year and offer some predictions on what we can expect to see in 2015.

With a secure foundation in place to manage internal IT, many IT leaders are thinking about a foundation for the entire business. In the new world of mobile apps, cloud services, and the Internet of Everything, people, processes, data, and devices are all converging to reshape how day-to-day business is done. Companies are reaching out to customers and partners—and even intelligent objects like connected cars and monitoring systems—and modifying the products and services they bring to market as a result. To an unprecedented degree, the future of an enterprise lies in the hands of the CIO and her IT staff who orchestrate these connections and act on the benefits they bring. IT leaders are finding new opportunities in an era of digital disruption. This executive brief provides a quick overview of how they are driving growth and increasing efficiency by securely connecting the digital enterprise with customers, partners, suppliers and distributors.

Gartner projects almost 4 in 10 organizations will rely exclusively on BYOD by 2016, and 85 percent of businesses will allow some level of BYOD by 2020. If enterprises want peace of mind with regard to the security of their data and systems, they must understand employee perceptions and practices. Blurred lines between personal and work use impacts security and puts corporate data at risk.

With Mac labs being a major presence on university campuses, many IT admins rely on imaging to ensure computers do not fall prey to viruses and costly data breaches, and to provide students with the education resources they need to be successful. The problem is imaging machines is a tedious and manual process, requiring lots of IT time. In this white paper, we examine a better way to manage a Mac lab and explain how to: • Leverage Apple’s Device Enrollment Program (DEP) to automatically configure and enroll Mac devices into management • Make apps and resources readily available for students to use, regardless which computer they choose • Ensure students only have access to the resources relevant to them by binding machines to your school’s directory services system

Fifty-two percent of security leaders rate their organizations at above average or superior when it comes to detecting or blocking ransomware before it locks or encrypts data in their systems. Yet, 36 percent also say their organizations were victims of ransomware in the past year. And 57 percent say they are more likely to be a ransomware target in 2017.

Secureworks has been tracking cybercrime activity for more than 10 years and, as we monitor this activity to protect our clients, we collect a large amount of data on both the criminals and their infrastructure and systems. This annual report presents an overview of the cybercrime landscape and trends we observed primarily from the period of mid-2016 to May 2017, in addition to a handful of other trends ranging from 2015 to 2016.

How to think about the risk to data from the mobile ecosystem Mobile devices, even those that are corporate owned, are personal. Your CEO uses the same smartphone to send confidential emails, snap family photos, inspect customer records, get directions to meetings, and scrutinize financial reports. Every employee in your organization does the same thing. Your organization's critical data is constantly being accessed by mobile devices, and once it leaves the network you have no visibility into where it goes, and little or no ability to enforce your security policy to protect it. Your organization’s sensitive data has made the mobile ecosystem the new frontier for a wide spectrum of risk that every CISO must now understand. Take a deep dive into all twelve elements of the Mobile Risk Matrix in the interactive table below.

There are five essential steps to protecting data and applications from the most common causes of data loss and downtime. IT pros who follow these steps can feel confident in their long-term organizational plan. Read this expert guide from Ben Maas, an independent consultant and system architect who has guided many companies through backup and disaster recovery (BDR) deployments.

There are five essential steps to protecting data and applications from the most common causes of data loss and downtime. IT pros who follow these steps can feel confident in their long-term organizational plan. Read this expert guide from Ben Maas, an independent consultant and system architect who has guided many companies through backup and disaster recovery (BDR) deployments.

Overview Key Challenges Organizations still struggle with communication between data owners and those responsible for administering DLP systems, leading to technology-driven — rather than business-driven — implementations. Many clients who deploy enterprise DLP systems struggle to get out of the initial phases of discovering and monitoring data flows, never realizing the potential benefits of deeper data analytics or applying appropriate data protections. DLP as a technology has a reputation of being a high-maintenance control — incomplete deployments are common, tuning is a never-ending process, lack of organization buy-in is low, and calculations of ROI are complex.

Data protection is a balancing act between the need to protect data and the need to protect access to data. The trick lies with deploying the right protection across the different systems and types of data, since they each require different forms of protection.

Backup and high availability are both essential forms of protection that fulfill different roles within a data protection strategy. So which type of protection is right for different systems? According to recent analyst reports, experts recommend a blended approach that aligns data protection with type of data.1 By aligning data protection with data urgency, businesses can ensure higher levels of resiliency and reduce demands on internal resources.

One way to shift testing practices earlier in your software lifecycle is by using multi-layered visual models to specify requirements in a way where all ambiguity is inherently removed. With unambiguous and complete requirements, developers introduce less defects into their code and manual test cases, automated test scripts and required test data can be automatically generated based on the requirement, without manual intervention.

Generate rich virtual data that covers the full range of possible scenarios and provide the unconstrained access to environments needed to deliver rigorously tested applications on time and within budget. Model complex live system data and apply automated rule-learning algorithms to pay off technical debt and uncover in depth understanding of composite applications, while exposing virtual data to distributed teams on demand and avoiding testing bottlenecks.

Continuous Delivery has become somewhat of a buzzword in the software development world. As such, numerous vendors promise that they can make it a reality, offering their tools as a remedy to the traditional causes of project delays and failure. They suggest that by adopting them, organizations can continually innovate and deliver quality software on time, and within budget.

Don’t Let Non-Compliance Fines Impact your Bottom Line and Reputation. Manual reconciliation of vast amounts of data is an arduous process, involving countless staff hours that includes backtracking, often ending without an audit trail to demonstrate how the balance sheet was derived. Automated processes offer a solution to this risk-laden adventure. In the white paper, The Buried Costs and Hidden Risks of Manual Reconciliation for Insurers, learn how to calculate and compare the costs of a manual system versus an automated system.

With the proliferation of health and fitness data due to personal fitness trackers, medical devices and other sensors that collect real-time information, cognitive computing is becoming more and more important. Cognitive computing systems, with the ability to understand, reason and learn while interacting with human-generated data, enable providers to find meaningful patterns in vast seas of information. IBM Watson Health is leveraging the power of cognitive computing to help providers make data-driven decisions to improve and save lives worldwide, while controlling healthcare costs. Read our whitepaper and learn about the new era of cognitive computing and how it can improve health outcomes, optimize care and engage individuals in making healthy choices.

Gaps in care in health systems cause higher mortality rates and inflate costs. Download this case study for a closer look at how one health system used IBM CareDiscovery data to prove to their board that an outpatient palliative care service line was viable in both cost savings and quality of care improvement.

From equipping them with accurate data to efficiency-driving tools to impactful training, you want to find the best systems to help your reps soar. As the market floods with technology (and a lot of lofty claims), it may be tough to know what you actually need and where to start your research process to help — not hinder — your team. You’ve probably heard a lot of buzz about sales engagement platforms, and there are quite a few to choose from. But what is it? What does it do? In sales, time is money. If you find that your team’s time is tied up in manual or administrative tasks, consider looking into a sales engagement platform. The right sales engagement platform will power outreach quality and quantity, ultimately helping your team crush their goals and boost the bottom line. In this guide, we’ll help you think through what features you should look for and what questions to ask as you begin to compare your options.

Today’s organizations are tasked with managing multiple data types, coming from a wide variety of sources. Faced with massive volumes and heterogeneous types of data, organizations are finding that in order to deliver insights in a timely manner, they need a data storage and analytics solution that offers more agility and flexibility than traditional data management systems. Data Lakes are a new and increasingly popular way to store and analyse data that addresses many of these challenges. Data Lakes allow an organization to store all of their data, structured and unstructured, in one, centralized repository.