Learn about the HPE Intelligent Data Platform and the new IT realities it addresses. With digital transformation underway in many organizations, more dynamic business models are becoming the key to success. This means infrastructure modernization and the introduction of technologies such as solid state storage, artificial intelligence and machine learning, software-defined infrastructure, and the cloud. At the same time, it means IT infrastructure management becomes much more complex. Enter HPE’s Intelligent Data Platform. With comprehensive coverage and AI/ML-driven real-time optimization that enables intelligent management of the entire data life cycle, the HPE Intelligent Data Platform enables an organization to get the most out of its IT resources while also meeting its evolving needs over time.
HOW TO USE THIS BUYER’S GUIDE
Today, privileges are built into operating systems, file systems, applications, databases, hypervisors,
cloud management platforms, DevOps tools, robotic automation processes, and more. Cybercriminals
covet privileges/privileged access because it can expedite access to an organization’s most sensitive
targets. With privileged credentials and access in their clutches, a cyberattacker or piece of malware
essentially becomes an “insider”.
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.
Published By: Gigamon
Published Date: Sep 03, 2019
The IT pendulum is swinging to distributed computing environments, network perimeters are dissolving, and
compute is being distributed across various parts of organizations’ infrastructure—including, at times, their extended
ecosystem. As a result, organizations need to ensure the appropriate levels of visibility and security at these remote
locations, without dramatically increasing staff or tools. They need to invest in solutions that can scale to provide
increased coverage and visibility, but that also ensure efficient use of resources. By implementing a common
distributed data services layer as part of a comprehensive security operations and analytics platform architecture
(SOAPA) and network operations architecture, organizations can reduce costs, mitigate risks, and improve operational
Whenever personal data related to us is anonymized, it has been manipulated in such a way that it can no longer be linked back to us, right? Think again. In the digital era, we do not always blend into the crowd.
Location data is part of this equation because our mobility habits are unique to us. Techniques like anonymization offer service providers numerous ways to protect privacy while retaining enough data to be useful - the challenge is finding the right balance.
By reading this eBook, you’ll discover critical ways public and private organizations can help protect users’ privacy:
• Find out why de-identification does not always mean anonymity
• Understand how privacy by design can be used for standards and product or service creation
• Discover how gathering just data you need will minimize the privacy impact of collection
• Find out about new and emerging privacy-enhancing technologies
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.
Infinidat provides the difference you seek in a data storage solution for media and entertainment organizations. New demands have everyone in the industry feeling the impact of high latency storage and its impact on efficiently delivering speed to market on new and dense workload management. The Infinidat unified storage architecture enables the scale, performance and best overall TCO required to deliver an extreme competitive advantage to media and entertainment companies.
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.
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.
As data becomes not only a business enabler but also the base of the business’s competitive advantage, Always On data availability has become a critical business requirement from its IT organization. With multiple potential points of failure, IT organizations have been struggling for years to design data infrastructure to meet the Always On requirement with a high cost and complexity. For a solution to be truly Always On it needs to have both zero Recovery Point Objective (RPO=0) and zero Recovery Time Objective (RTO=0). These are necessary requirements from an Always On solution but by no means sufficient.
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.
Published By: Datastax
Published Date: Sep 27, 2019
Smartphones, smart cities, smart homes, smart cars—IoT has triggered a data explosion, and not every enterprise is prepared to handle it.
Beyond collecting and analyzing the increasing volume of data, organizations must figure out how to manage the velocity of that data, as well as how to integrate it with multiple data sources. And that’s just scratching the surface of the IoT challenge. To extract business value out of this inpouring of data, and to take full advantage of IoT boosted by new 5G technology, IT organizations must consider five key technologies.
In this ebook, you’ll learn about these five technologies and their benefits. To continue to develop and scale your IoT-driven applications, your infrastructure needs to be able to handle sensor data at velocity, keep data close to the edge, maintain 100% uptime, and make it easy to extract business value. The insights you’ll discover in this ebook will not only help you prepare your organization for this reality; they’ll also
Published By: Dell EMC
Published Date: Aug 01, 2019
Disaster recovery and long-term retention of data can be very challenging for organizations of any size, especially small to mid-sized companies. Cloud can provide efficiencies such as scale, agility, and initial lower storage costs, but organizations face significant challenges when expanding their data protection environments to the cloud. Dell EMC recognizes the use of cloud as a backup destination that is only going to increase in the future and as such they have architected modern IT solutions for small and mid-sized organizations that require powerful, easy to manage and to deploy data protection solutions with the introduction of the Dell EMC DP4400. To learn more, download this report from Dell and Intel®
Organizations are charging ahead with investments in cloud and analytics to deliver agility, scalability and cost savings. With computing power advancements and continuous growth of data, cloud provides the elastic workloads and flexibility required for modern business. However, the environment of flexibility and choice that cloud provides also creates complexity and challenges.
In this white paper, learn how organizations are applying expertise and using the latest methods to move analytics to the cloud, including:
• Why are organizations moving analytic work to the cloud?
• What are the key challenges and misconceptions?
• How do IT leaders provide choice while maintaining control?
Published By: CheckMarx
Published Date: Sep 12, 2019
Financial services organizations operate under a host of regulatory standards. This makes sense, as the assets and information managed by these firms are valuable, sensitive, and targeted by sophisticated cyber attackers daily.
Compounding these challenges is the large volume of personally identifiable information (PII) that financial organizations handle regularly. PII is subject to many compliance regulations, notably the General Data Protection Regulation (GDPR), which regulates not only the processing of personal data, including PII, relating to individuals in the EU, for also any organization that processes personal data of EU residents.
For US banking consumers, Section 5 (Unfair or Deceptive Acts or Practices) of the Federal Trade Commission Act and numerous state regulations enforce basic consumer protections, which financial organizations must also uphold.
Published By: Workday
Published Date: Feb 20, 2018
How can you put the power of real-time analytics into the hands of business users? Watch this video to learn about the technologies surrounding self-service analytics and data integration, and how you can use them to lead a data-driven organization.
Published By: Quovant
Published Date: Oct 01, 2019
Even with the greatest level of talent on your in-house legal team, you will at some point, need the services of external counsel. When an organization rates its outside law firms, selecting just the right data might be a challenge. Business leaders may not be lawyers, so it may be necessary to rely on the self-assessment of firms to determine the “health” of their programs.
But does it need to be that subjective? Hard data is an essential tool when it comes to performance evaluation. There are specific metrics organizations can use to evaluate law firm performance. While it may not be “all about the money,” these key metrics can provide insight into how your panel handles its work and the value of the results you receive.
Innovation requires many ingredients: a great idea, creativity, persistence, the right data, and technology. Governments around the world are taking advantage of the cloud to reduce cost and transform the way they deliver on their mission. The expectations of an increasingly digital citizenry are high, yet all levels of government face budgetary and human resource constraints. Cloud computing (on-demand delivery of IT resources via the Internet with pay-as-you-go pricing) can help government organizations increase innovation, agility, and resiliency, all while reducing costs. This whitepaper provides guidelines that governments can use to break down innovation barriers and achieve a digital transformation that helps them engage and serve citizens.
The Business Case for Data Protection, conducted by Ponemon Institute and sponsored by Ounce Labs, is the first study to determine what senior executives think about the value proposition of corporate data protection efforts within their organizations. In times of shrinking budgets, it is important for those individuals charged with managing a data protection program to understand how key decision makers in organizations perceive the importance of safeguarding sensitive and confidential information.
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
Data is a company’s most valuable asset. Just look at Forbes’ World’s Most Value Brands list. No longer is a company’s worth evaluated by its tangible assets — data has changed all of that. Every business today relies on data. The ability to filter through volumes of data to capture true insights is critical to gaining a competitive advantage. Companies aspiring to deliver the best possible customer experiences must be able to unify different types of information, including behavioral, transactional , and operational data
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.
Published By: Marketo
Published Date: Sep 03, 2019
Across all industries, marketing increasingly plays a critical role in company growth. It is the marketer’s responsibility to help their organization retain, nurture, and increase their customer base—not an easy task. Having the right technology and skill set is essential to provide measurable ROI and deliver on the bottom line. Everything starts with the customer, and the tech needed to assist them on their buyer journey.
By harnessing a well-considered MarTech stack, marketers can bring order to the overwhelming volumes of data they collect from online and offline interactions with prospective and existing customers. Better yet, this technology enables you to make those insights actionable, meaning you can make informed decisions.
Download this ebook for eight practical steps your organization can take to put together a high-performance MarTech stack.
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