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Published By: Pure Storage     Published Date: Sep 13, 2019
"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. Description 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."
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Pure Storage
Published By: Pure Storage     Published Date: Sep 13, 2019
"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. Description 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."
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Pure Storage
Published By: Google     Published Date: Aug 05, 2019
"Agile BI requires more than just agile dashboards. True agility means prototyping data models quickly so business users can continuously iterate on them. Application development and delivery professionals working on BI initiatives should consider adding DWA platforms to their BI toolbox. This Forrester report discusses how seven data warehouse automation vendors bring Agile options to all phases of BI/analytics application development. Read more to find out how these platforms help facilitate shorter development cycles."
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data warehouse automation, forrester, agile solutions, business intelligence, analytics
    
Google
Published By: ETQ     Published Date: Jul 10, 2019
According to Gartner, "supply chain leaders responsible for quality management are shifting to software solutions that standardize processes, optimize data and ensure compliance. This research provides guidance for structuring a process for QMS software selection." Download this Gartner Analyst Guide to learn: Key challenges in the QMS software selection processes What to expect from different QMS solutions across the market Analysis of the current state of quality management to help define software requirements Self assessment questions and commonly sought QMS system functionalities to use in your decision making process
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ETQ
Published By: IBM APAC     Published Date: Jul 19, 2019
Disruption to data availability has the ability to cripple an organisation, and in the consumer goods market, restricted access to data could cause goods to take longer to get to market. To prepare for data outages, it is imperative that businesses have effective backup and recovery solutions in place to minimise downtime and maintain functionality. This case study examines how PT Wings Surya, a leader in the Indonesian consumer goods market, was able to increase business uptime, cut the time taken to run backup jobs from 8 to just 2 hours, and reduce backup costs by 60%.
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IBM APAC
Published By: IBM APAC     Published Date: Jul 19, 2019
It’s important to understand the impact of AI workloads on data management and storage infrastructure. If you’re selecting infrastructure for AI workloads involving ML and deep learning, you must understand the unique requirements of these emerging workloads, especially if you’re looking to use them to accelerate innovation and agility. This Gartner report highlights three main impacts that AI workloads have on data management and storage.
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IBM APAC
Published By: Cisco Umbrella EMEA     Published Date: Aug 08, 2019
As Italy’s businesses grew increasingly vulnerable to the threat of ransomware, data breaches, and other malicious malware attacks, service provider Telecom Italia sought an innovative solution to effectively and efficiently protect the network and data of its business users. In this case study, you’ll read about how Italy’s largest service provider partnered with Cisco Umbrella to increase value for customers and accelerate their revenues with cloud security.
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Cisco Umbrella EMEA
Published By: Cisco Umbrella EMEA     Published Date: Aug 08, 2019
"It’s no secret that the way people work has changed dramatically over the past few years. As highly distributed environments become the norm, security teams are scrambling to protect users, the growing number of device types they carry, and their data. With more users, devices, and applications connecting to the network, the number of risks and vulnerabilities is also increasing — triggering a total transformation in the security landscape. In this research readout, we explore the complex factors that make remote and roaming user security a challenge, and the emerging solutions best positioned to meet the needs of today’s increasingly distributed enterprise.Explore the complex factors that make remote and roaming user security a challenge, and the emerging solutions best positioned to meet the needs of today’s increasingly distributed enterprise. "
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Cisco Umbrella EMEA
Published By: Cisco Umbrella EMEA     Published Date: Sep 02, 2019
Users are working off-hours, off-network, and off-VPN. Are you up on all the ways DNS can be used to secure them? If not, maybe it’s time to brush up. More than 91% of malware uses DNS to gain command and control, exfiltrate data, or redirect web traffic. Because DNS is a protocol used by all devices that connect to the internet, security at the DNS layer is critical for achieving the visibility and protection you need for any users accessing the internet. Learn how DNS-layer security can help you block threats before they reach your network or endpoints.
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Cisco Umbrella EMEA
Published By: Cisco Umbrella EMEA     Published Date: Sep 02, 2019
"Cloud applications provide scale and cost benefits over legacy on-premises solutions. With more users going direct-to-internet from any device, the risk increases when users bypass security controls. We can help you reduce this risk across all of your cloud and on-premises applications with a zero-trust strategy that validates devices and domains, not just user credentials. See why thousands of customers rely on Duo and Cisco Umbrella to reduce the risks of data breaches and improve security. Don’t miss this best-practices discussion focused on the key role DNS and access control play in your zero-trust security strategy. Attendees will learn how to: ? Reduce the risk of phishing attacks and compromised credentials ? Improve speed-to-security across all your cloud applications ? Extend security on and off-network without sacrificing usability"
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Cisco Umbrella EMEA
Published By: TIBCO Software     Published Date: Jul 22, 2019
Connected Intelligence in Insurance Insurance as we know it is transforming dramatically, thanks to capabilities brought about by new technologies such as machine learning and artificial intelligence (AI). Download this IDC Analyst Infobrief to learn about how the new breed of insurers are becoming more personalized, more predictive, and more real-time than ever. What you will learn: The insurance industry's global digital trends, supported by data and analysis What capabilities will make the insurers of the future become disruptors in their industry Notable leaders based on IDC Financial Insights research and their respective use cases Essential guidance from IDC
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TIBCO Software
Published By: TIBCO Software     Published Date: Feb 13, 2019
Analyst firms Gartner, Inc. and Forrester are projecting accelerated data virtualization adoption for both first-time and expanded deployments. What are the uses cases for this technology? At its Data and Analytics Summit in London in March 2018, Gartner answered this question by identifying 13 data virtualization use cases. This paper explores each of these use cases by: Identifying key requirements Showing how you can apply TIBCO® Data Virtualization to address these needs Listing the benefits you can expect when implementing TIBCO Data Virtualization for the use case
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TIBCO Software
Published By: TIBCO Software     Published Date: Feb 14, 2019
Digital business initiatives have expanded in scope and complexity as companies have increased the rate of digital innovation to capture new market opportunities. As applications built using fine-grained microservices and functions become pervasive, many companies are seeing the need to go beyond traditional API management to execute new architectural patterns and use cases. APIs are evolving both in the way they are structured and in how they are used, to not only securely expose data to partners, but to create ecosystems of internal and/or third-party developers. In this datasheet, learn how you can use TIBCO Cloud™ Mashery® to: Create an internal and external developer ecosystem Secure your data and scale distribution Optimize and manage microservices Expand your partner network Run analytics on your API performance
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TIBCO Software
Published By: TIBCO Software     Published Date: Jul 22, 2019
What if you could use just one platform to detect all types of major financial crimes? One platform to handle the analytical tasks of fraud detection, including: Data processing and aggregation Data visualization Statistical/mathematical/machine learning modeling Batch/real-time scoring One platform that could successfully reduce complex and time-consuming fraud investigations by combining extremely different domains of knowledge including Business, Economics, Finance, and Law. A platform that can cover payments, credit card transactions, and know your customer (KYC) processes, as well as similar use cases like anti-money laundering (AML), trade surveillance, and crimes such as insurance claims fraud. Learn more about TIBCO's comprehensive software capabilities behind tackling all these types of fraud in this in depth whitepaper.
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TIBCO Software
Published By: TIBCO Software     Published Date: Jul 22, 2019
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 Optimize costs Accelerate innovation Survive digital disruption Watch this webinar to understand use cases and their underlying technology that helped our customers become smart manufacturers.
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TIBCO Software
Published By: Amazon Web Services EMEA     Published Date: Sep 09, 2019
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.
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Amazon Web Services EMEA
Published By: Group M_IBM Q3'19     Published Date: Jul 01, 2019
This white paper considers the pressures that enterprises face as the volume, variety, and velocity of relevant data mount and the time to insight seems unacceptably long. Most IT environments seeking to leverage statistical data in a useful way for analysis that can power decision making must glean that data from many sources, put it together in a relational database that requires special configuration and tuning, and only then make it available for data scientists to build models that are useful for business analysts. The complexity of all this is further compounded by the need to collect and analyze data that may reside in a classic datacenter on the premises as well as in private and public cloud systems. This need demands that the configuration support a hybrid cloud environment. After describing these issues, we consider the usefulness of a purpose-built database system that can accelerate access to and management of relevant data and is designed to deliver high performance for t
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Group M_IBM Q3'19
Published By: Group M_IBM Q3'19     Published Date: Sep 04, 2019
This white paper considers the pressures that enterprises face as the volume, variety, and velocity of relevant data mount and the time to insight seems unacceptably long. Most IT environments seeking to leverage statistical data in a useful way for analysis that can power decision making must glean that data from many sources, put it together in a relational database that requires special configuration and tuning, and only then make it available for data scientists to build models that are useful for business analysts. The complexity of all this is further compounded by the need to collect and analyze data that may reside in a classic datacenter on the premises as well as in private and public cloud systems. This need demands that the configuration support a hybrid cloud environment. After describing these issues, we consider the usefulness of a purpose-built database system that can accelerate access to and management of relevant data and is designed to deliver high performance for t
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Group M_IBM Q3'19
Published By: Group M_IBM Q3'19     Published Date: Sep 04, 2019
In the last few years we have seen a rapid evolution of data. The need to embrace the growing volume, velocity and variety of data from new technologies such as Artificial Intelligence (AI) and Internet of Things (IoT) has been accelerated. The ability to explore, store, and manage your data and therefore drive new levels of analytics and decision-making can make the difference between being an industry leader and being left behind by the competition. The solution you choose must be able to: • Harness exponential data growth as well as semistructured and unstructured data • Aggregate disparate data across your organization, whether on-premises or in the cloud • Support the analytics needs of your data scientists, line of business owners and developers • Minimize difficulties in developing and deploying even the most advanced analytics workloads • Provide the flexibility and elasticity of a cloud option but be housed in your data center for optimal security and compliance
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Group M_IBM Q3'19
Published By: Infinidat EMEA     Published Date: May 14, 2019
Data continues to grow at an astounding pace? As a result, data center space is becoming more scarce, as more arrays are acquired to store all of this data. Along with this data taking up space, it is also utilizing a great deal of power and cooling. In fact, the average data center in the U.S. uses approximately 34,000 kW of electricity each year, costing $180,000 in annual energy costs. As Infinidat set out to revolutionize the storage industry, one of our goals was to help consumers of storage build a more sustainable infrastructure that would be not only better for the environment, but also help them to save money as well. All of our patents come together to form InfiniBox, a storage solution that does just this.
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Infinidat EMEA
Published By: Infinidat EMEA     Published Date: May 14, 2019
Data is the DNA of modern healthcare. As healthcare technology continues to evolve at a rapid pace, and patient data management and security evolve, emerging approaches for disease treatment and prevention—like precision medicine and healthcare content management—are becoming more necessary. Precision medicine is about moving from generic to more precise, population-focused diagnostics and treatment by factoring in data from patients’ genes, environment, lifestyle factors and family history, into clinical decision-making for earlier, more accurate diagnoses, and more effective treatment and prevention. Data is at the heart of enabling doctors and scientists to execute on this mission. Additionally, rapidly changing regulations throughout the world are affecting the management of all healthcare data. Infinidat removes data management barriers from this level of data interaction by removing isolated islands of storage and allowing much more data to reside on a single, high-performance, h
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Infinidat EMEA
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®
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Dell EMC
Published By: SAS     Published Date: Sep 05, 2019
For many insurers, this accounting process will look familiar: • Tools and processes vary for different lines of business. • The needed data is stored in hundreds of files. • Calculations are performed by multiple, undocumented spreadsheets, with little or no version control. • Humans have to step in to help cobble together data from different channels. • The process of preparing and presenting financial data is not manageable or traceable. • The path from input data to P&L numbers is largely a black box. In a simpler time, this patchwork was passable. But change is coming. New regulations will bring greater complexity to the accounting process for insurers, which will make semi-manual, legacy processes look like a house of cards and raise doubts about the validity of the final numbers on the P&L sheet.
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SAS
Published By: MicroStrategy     Published Date: Aug 28, 2019
Over the last decade, the enterprise analytics landscape has dramatically transformed. Vendors have come and gone, and platforms have continually expanded their offerings to include new functionality and keep pace with the demands of the businesses they serve. Originally envisioned as an IT-centric tool for enterprise reporting, analytics today has evolved into a business solution—empowering a range of users across every line of business, including front-line employees, field personnel, and executives. The rise of self-service analytics over the past decade has played a key role in promoting a data-driven mindset within every business function. However, this practice is limited to a skilled few. The vast majority of business professionals lack the time, analytical skills, or inclination to conduct their own analyses, and fail to effectively use analytics on a day-to-day basis. The result? Despite decades of investments, BI adoption at most organizations remains at 30%. The failure of e
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MicroStrategy
Published By: MicroStrategy     Published Date: Aug 28, 2019
Why HyperIntelligence? Today, despite massive investments in data, IT infrastructure, and analytics software, the adoption of analytics continues to lag behind. In fact, according to Gartner, most organizations fail to hit the 30% mark. That means that more than 70% of people at most organizations are going without access to the critical information they need to perform to the best of their abilities. What’s stopping organizations from breaking through the 30% barrier and driving the pervasive adoption of intelligence? Simple. The majority of existing tools only cater to users who are naturally analytically inclined—the analysts, data scientists, and architects of the world. The other 70%—the people making the operational decisions daily within a business—simply lack the time, skill, or desire to seek out data and intelligence on their own. HyperIntelligence helps organizations operationalize their existing investments and arm everyone across the organization with intelligence. Whether
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MicroStrategy
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