Published By: Cohesity
Published Date: May 04, 2018
In today’s application driven, cloud agnostic world, many organizations still rely on legacy, multiple point backup and recovery products that consist of backup software, target storage, media and master servers, and cloud gateways, all from different vendors. With slow backups and long recovery times of their existing backup products, organizations are unable to meet their tight business SLAs. Constant forklift upgrades and complex management UIs make it expensive to manage the current backup and recovery environments.
There has to be a simpler, more cost-effective way to keep your data safe. This is the problem that Cohesity is designed to solve, with an entirely new approach to data protection.
Download this solution brief to learn more about Cohesity and its advantages!
How do you create competitive advantage and protect it to build a successful organization for the future?
Smart organizations are rethinking their strategies: how to elevate the strengths and productivity of their people and identify the right approach to protect their people and data.
Factory Direct Fencing, Austraila’s largest family-owned manufacturer and distributor of fencing products, deploys Sage Business Cloud Enterprise Management to handle multi-warehouse management, radio frequency scanning and component manufacturing functionality. Sage Business Cloud Enterprise Management not only streamlines its processes and reduces duplication of data entry, it also ensures more reliable reporting and automates its key business processes.
Until recently, businesses that were seeking information about their customers, products, or applications, in real time, were challenged to do so. Streaming data, such as website clickstreams, application logs, and IoT device telemetry, could be ingested but not analyzed in real time for any kind of immediate action. For years, analytics were understood to be a snapshot of the past, but never a window into the present. Reports could show us yesterday’s sales figures, but not what customers are buying right now.
Then, along came the cloud. With the emergence of cloud computing, and new technologies leveraging its inherent scalability and agility, streaming data can now be processed in memory,
and more significantly, analyzed as it arrives, in real time. Millions to hundreds of millions of events (such as video streams or application alerts) can be collected and analyzed per hour to deliver insights that can be acted upon in an instant. From financial services to manufacturing, this rev
When you extend the global reach of your enterprise, you’ll find new markets for your products and services. That means reaching more potential customers, bigger growth potential, and higher ROI. But to tap into those emerging markets, you need to provide the best, most consistent user experience. Now, it’s possible for you to build, deploy, and manage modern apps at scale with a globally-distributed database—without the hassles associated with hosting in your data center.
Read the e-book Build Modern Apps with Big Data at a Global Scale and learn how Azure Cosmos DB, a globally-distributed turnkey database service, is transforming the world of modern data management.
Keep access to your data available, consistent, and safe—with industry-leading, enterprise-grade security and compliance. Start developing the best app experience for your users based on five well-defined consistency models:
Strong: Favors data consistency. Ideal for banks, e-commerce processing, and online booking.
Developing for and in the cloud has never been more dependent on data. Flexibility, performance, security—your applications need a database architecture that matches the innovation of your ideas.
Industry analyst Ovum explored how Azure Cosmos DB is positioned to be the flagship database of internet-based products and services, and concluded that Azure Cosmos DB “is the first to open up [cloud] architecture to data that is not restricted by any specific schema, and it is among the most flexible when it comes to specifying consistency.”
From security and fraud detection to consumer and industrial IoT, to personalized e-commerce and social and gaming networks, to smart utilities and advanced analytics, Azure Cosmos DB is how Microsoft is structuring the database for the age of cloud.
Read the full report to learn how a globally distributed, multi-model data service can support your business objectives. Fill out the short form above to download the free research paper.
Your customers are asking for it. Your developers are ready for it. Your operations team is demanding it. What’s behind this momentum?
Software-as-a-Service (SaaS) is a fundamental shift away from traditional software licensing to a market-driven subscription model. Keystone engaged 20 ISVs who successfully transitioned to a SaaS model, and found:
New customer segments open thanks to lower adoption and operating costs.
With less complex infrastructure under SaaS, customer TCO drops.
ISV products improve with value-added cloud services and SaaS data capabilities.
Financial predictability improves with recurring revenue model.
New pricing models aligns ISV value to customers’ business needs, driving increased revenue.
Additional, significant operational benefits from switching to a SaaS model.
Fill out the form at right to get the free report, The Shift to SaaS: A high-value opportunity for ISVs.
The collection of product usage data increases the speed of product development by 33%. –
Prepare your business for the future of customer service.
In a world where price and product can easily be matched, customer experience has become a key brand differentiator. It’s never been more important to understand customer expectations, perceptions, preferences, and trends.
The 2017 Microsoft State of Global Customer Service report found that customer service impacts brand choice and loyalty for 96% of consumers around the globe. The 32-page report offers insights from 5,000 survey participants.
Learn how you can stay ahead of the competition and earn customers for life with intelligent customer service. Find trend details and actionable data on:
The growing importance of service in a customer’s choice of or loyalty to a brand
The most important aspects of a good customer service experience
The most frustrating aspects of a poor customer service experience
Expectations of the millennial customer segment
Channel preferences based on geography
Customer expectations for self-serv
Develop customer relationships and reduce costs
Effective field service management teams improve technician productivity and customer satisfaction rates.
Greater automation, faster inventory management, and reduced inspection costs are possible with data support from the cloud.
Learn how the Internet of Things (IoT) can help keep your service agile so you stay ahead of customer demands and product complexity.
Published By: Carbonite
Published Date: Apr 09, 2018
Malware that encrypts a victim’s data until the
extortionist’s demands are met is one of the
most common forms of cybercrime. And the
prevalence of ransomware attacks continues
to increase. Cybercriminals are now using
more than 50 different forms of ransomware
to target and extort money from unsuspecting
individuals and businesses.
Ransomware attacks are pervasive. More than
4,000 ransomware attacks happen every day,
and the volume of attacks is increasing at a
rate of 300 percent annually.1 According to an
IDT911 study, 84 percent of small and midsize
businesses will not meet or report ransomware
No one is safe from ransomware, as it attacks
enterprises and SMBs, government agencies,
and individuals indiscriminately. While
ransomware demands more than doubled in
2016 to $679 from $294 in 2015, the cost of
remediating the damage and lost productivity
is many multiples higher.3 Ransomware is the
equivalent of catastrophic data loss, except
Published By: Optimizely
Published Date: Apr 06, 2018
When building websites and applications, too many companies make decisions- on everything from new product features, to look and feel, to marketing campaigns- using subjective opinions rather than hard data.
Companies should conduct online controlled experiments to evaluate their ideas. Potential improvements should be rigorously tested, because large investments can fail to deliver, and some tiny changes can be surprisingly detrimental while have big payoffs.
The product development ecosystem is complex, as it entails nearly every area of an enterprise — each with its own set of tools, files and needs. Enterprises need the right solutions to untangle the web of data management and enable a smarter approach to manufacturing. This article discusses how distributed data management, now an integrated part of SOLIDWORKS Manage, stores and regulates design data to streamline processes and improve the movement of information.
Business users expect immediate access to data, all the
time and without interruption. But reality does not always
meet expectations. IT leaders must constantly perform
intricate forensic work to unravel the maze of issues that
impact data delivery to applications. This performance
gap between the data and the application creates a
bottleneck that impacts productivity and ultimately
damages a business’ ability to operate effectively.
We term this the “app-data gap.”
Published By: IBM APAC
Published Date: Mar 19, 2018
Unstructured data has exploded in volume over the past decade. Unstructured data, media files and other data can be created just about anywhere on the planet using almost any smart device available today. As the amount of unstructured data grows exponentially, customers using this data need to be able to take advantage of the right storage solutions to support all of their file and object data requirements. IBM® recently added a new storage system to their Spectrum product family, IBM Spectrum Network Attached Storage (NAS). IBM Spectrum NAS adds another software-defined file storage system to IBM’s current unstructured data storage solutions, IBM Spectrum Scale™ and IBM Cloud Object Storage (COS). Below, we will discuss the three systems and supply some guidance on when and where to use each of them.
The Dell EMC All-Flash storage solution is versatile like a swiss army knife. They have a full suite of best-of-breed products that provide organizations the flexibility to meet their data storage requirements. They allow organizations to customize and choose across best-of breed solutions to meet their needs.
Imagine getting into your car and saying, “Take me to work,” and then enjoying an automated
drive as you read the morning news. We are getting very close to that kind of
scenario, and companies like Ford expect to have production vehicles in the latter part
Driverless cars are just one popular example of machine learning. It’s also used in
countless applications such as predicting fraud, identifying terrorists, recommending
the right products to customers at the right time, and correctly identifying medical
symptoms to prescribe appropriate treatments.
The concept of machine learning has been around for decades. What’s new is that
it can now be applied to huge quantities of data. Cheaper data storage, distributed
processing, more powerful computers and new analytical opportunities have dramatically
increased interest in machine learning systems. Other reasons for the increased
momentum include: maturing capabilities with methods and algorithms refactored to
run in memory; the
Known for its industry-leading analytics, data management and business intelligence solutions, SAS is focused on helping organizations use data and analytics to make better decisions, faster. The combination of self-service BI and analytics positions you for improved productivity and smarter business decisions. So you can become more competitive as you use all your data to take better actions. Instead of depending on hunch-based choices, you can make decisions that are truly rooted in discovery and
analytics. And you can do it through an interface that anyone can use.
At last, your business users can get close enough to the data to manipulate it and draw their own reliable, fact-based conclusions. And they can do it in seconds or minutes, not hours or days.
Equally important, IT remains in control of data access and security by providing trusted data sets and defined processes that promote the valuable, user-generated content for reuse and consistency. But, they are no longer forced
For data scientists and business analysts who prepare data for analytics, data management technology from SAS acts like a data filter – providing a single platform that lets them access, cleanse, transform and structure data for any analytical purpose. As it
removes the drudgery of routine data preparation, it reveals sparkling clean data and adds value along the way. And that can lead to higher productivity, better decisions and greater agility.
SAS adheres to five data management best practices that support advanced analytics
and deeper insights:
• Simplify access to traditional and emerging data.
• Strengthen the data scientist’s arsenal with advanced analytics techniques.
• Scrub data to build quality into existing processes.
• Shape data using flexible manipulation techniques.
• Share metadata across data management and analytics domains.
Published By: SundaySky
Published Date: Mar 06, 2018
Saks’ personalized video advertising program with SundaySky consists of 15- and 30-second SmartVideo pre-roll ads, featuring highly relevant information, such as previously viewed items, product categories, brand messages and seasonal promotions, that correlate to the viewer’s historical browsing data. Within 30 days of the shopper’s last visit to Saks’ website, SundaySky finds the individual on a publisher site through a programmatic ad network, and serves him or her a Saks video ad filled with relevant information according to their behavior. The goal of the program was to maintain a $25 ROAS with more than $10 million in attributed revenue, measured by the brand’s advanced attribution system of record MarketShare.
By 2018, more than 70% of new DBMS deployments will leverage cloud for at least one use case. Read the Gartner report State of the Operational DBMS Market, 2017
and get the latest insights and recommendations on DBMS strategy.
Discover how to:
•Evaluate modern data management capabilities before adopting new DBMS products
•Lead a nonrelational technology assessment to determine which DBMS best meets your business requirements
• Deploy a multimodel DBMS and reduce complexity in your data center
Get Started with Oracle Cloud for Free
$300 in free credits
Build production-ready workloads by using a variety of cloud services including databases, compute, containers, IoT, big data, API management, integration, chatbots, and many more
Enterprises and managed service providers (MSPs) have some similar challenges in the realm of data protection. Both have to deal with expansive environments—with enterprises protecting distributed offices/geographies, and MSPs protecting many independent subscribers. Both also have been seeing production data storage and secondary protection storage demands rising. Enterprises and MSPs alike should therefore be looking for data protection architectures that have scale-out capabilities built into their core foundation.
Published By: Cloudian
Published Date: Feb 15, 2018
As the volume of unstructured data created and used continues to increase rapidly, organizations are faced with challenges around data storage. In response, many new technologies — specifically objectbased storage, software-defined storage, all-flash arrays, and cloud-based storage services — are experiencing rapid adoption. Yet object-based storage has been limited by the need to rewrite existing file-based applications — a prospect that is costly and requires more manpower than is practical for many organizations.
Cloudian offers both an object storage platform and more recently an enterprise file services product. When deployed together, Cloudian's products are designed to consolidate file and object data into a single repository and can enable organizations to manage environments that span the cloud as well as on-premises.
Published By: HireVue
Published Date: Feb 09, 2018
Unilever is a global player in the fast-moving consumer goods (FMCG) sector, with nearly a third of the world’s population using its products every day. The company has more than 169,000 employees working around the world, and its leaders estimate that within three years, as many as 60 percent of those employees will be Millennials. Critical to Unilever’s ongoing success will be its ability to attract these recent college graduates.
For its signature Future Leaders Programme, the company wanted its recruitment efforts to get ahead of the curve. The existing process was rooted in paper-based applications, phone interviews with recruiters, and manual assessment tests. It took four to six months to sift through 250,000 applications and ultimately hire 800 individuals. The company sought to radically transform this process using online gamification, digitally recorded interviews, and science-based assessment tests and data analysis.
In this case study, we:
• Explain the challenges facing U
Published By: Dell EMC
Published Date: Feb 08, 2018
Support up to 177% more customers requests with up to 85% faster response times by choosing the Dell EMC™ VxRail™ P470F over the HPE SimpliVity 380.
Process more customer requests, boost staff productivity, and keep business running smoothly.
Keep your users productive and your customers happy with a great database experience
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