Now more than ever, IT technologists need to take control of PC infrastructure costs while deploying secure and manageable client solutions for their end users. With all the options available, how can IT pros position the right PC lifecycle solutions with management to make IT deployment, maintenance and continuous modernization simple? Download this white paper from Dell and Intel® to learn more.
Now more than ever, IT technologists need to take control of PC infrastructure costs while deploying secure and manageable client solutions for their end users. With all the options available, how can IT pros position the right PC lifecycle solutions with management to make IT deployment, maintenance and continuous modernization simple? Download this interactive eGuide, brought to you by Dell and Intel® to learn more about ways to support today’s modern PCs with unparalleled efficiency, treating PC acquisition, usage and retirement as an integral part of IT and business operations.
Download this white paper from Dell and Intel® to learn more.
Many companies want to become a cloud-native enterprise. Pivotal Cloud Foundry (PCF) is the most popular tool to help make this happen. Pivotal’s engineers and architects have worked with hundreds of the largest companies in recent years. Our team has refined “best practices” for how to best deploy PCF, and how to best develop modern apps. This insight helps customers reduce risk, and deliver high-quality software faster.
Many of these enterprises wish to run Pivotal Cloud Foundry on Microsoft® Azure™. Azure is a popular choice for several reasons. Read more to find out.
Enterprise developers face many choices when writing software. What’s the right architecture for the long run? What are the technologies I should bet on?
One of the more challenging decisions: how to balance the flexibility to deploy their software on any public cloud with the benefits of using differentiating cloud services. You may gain significant functional benefits from such a service, but this may make moving from one cloud provider to another more difficult, limiting flexibility.
In this paper, we’ll discuss pragmatic strategies you can take to achieve something approximating the ideal of service liquidity. Pivotal and Microsoft have worked with several enterprises and partners to provide an evaluation and implementation framework. The end result? Developers can utilize the power of a given cloud platform, while ensuring cloud flexibility for their application modernization projects. Read on to learn more about this framework.
Businesses rely on their networks for nearly every aspect of their operations. If packets don’t move, users and customers are directly impacted and revenue doesn’t flow.
Read the results of Kentik's survey of networking industry professionals and review how organizations are addressing their network management challenges including:
With lack of visibility into how cloud resources are utilized, it's easy to make costly mistakes. This paper covers five network-related cloud deployment mistakes that you might not be aware of that can negate the cloud benefits you’re hoping to achieve.
Topics discussed in this whitepaper include:
Building a cloud application is like building a house. Without following industry best practices, everything could come tumbling down. Fortunately, Amazon established cloud architecture best practices, the AWS Well-Architected Framework.
This paper outlines their principles, "Five Pillars", best practices for cloud and further extends the Framework to networking — a critical part of cloud architecture.
This white paper will:
More and more organizations are looking to implement an intuitive remote support solution that gives support professionals on-demand productivity and provides quick resolutions to the ever-evolving set of pains that bedevil support teams today. But choosing the best remote support solution can be a challenge, especially as user expectations grow and systems become more complex and offer more options and features.
This buyer’s guide can help you select the remote support tool that will work best for your organization. With more than 15 years of experience, LogMeIn delivers a market-leading portfolio of solutions to fit any of your remote support requirements.
Life doesn’t have to be stressful for a remote support agent. Sure, there are always fires to put out - last-minute software upgrades, crashed servers, forgotten passwords. But with the right remote support tools, demanding organizations can satisfy their evolving needs anywhere, anytime, from any device. Here’s what freedom looks like for one support agent.
Website performance matters. Many factors impact site performance, including the speed of the hosting provider, page design, number of http requests and more. One big factor is the accumulation of digital marketing vendor tags and pixels on web pages. Tags can dramatically impact site performance in a number of ways– poor tag design, synchronous tags can block content, slow response time associated with the collection servers, tag placement and the sheer number of tags accumulated on pages.
Over the years, Tealium has pioneered many of the best practices in tagging and has incorporated various techniques to minimize the effect of tags on website performance. They include:
This whitepaper provides more details about these techniques and their associated benefits.
Organizations today are handling an inordinate amount of data from different sources and to help make sense of this influx they’re using data storage and analytics solutions. Yet, it can be a challenge to collect customer data from multiple technologies, sources, and touchpoints to be able to enrich it in a way that produces a unified data set on every customer. These complete and comprehensive data sets are needed, though, because they become the necessary foundation for driving and delivering meaningful, consistent and relevant customer experiences.
Brands are leveraging enterprise data storage technologies like Data Lakes and Enterprise Data Warehouses (EDWs) to house customer data. However, those solutions alone won’t allow an organization to capture, correlate and manage their real-time incoming data to support customer data initiatives aimed at creating unified customer experiences.
This paper will highlight key differences, benefits, and challenges of Enterprise Data Warehouses and Data Lakes, and introduce the one, key solution every brand should employ to create and drive unified customer experiences.
Today’s customers have been trained by Amazon, Netflix, Spotify and many others to expect personalized experiences. In one recent study, two-thirds of respondents said they were more likely to shop at a retailer who knew their purchase history and 75% said they were comfortable with sharing personal data.
Another survey found that 61% believe their favorite brands understand and cater to their needs while 38% were likely to stop buying from a brand that failed to provide timely offers on sales and promotions. Yet 22% in the same survey also said they’d break up with a brand if it provided too many offers. In short, consumers demand personalization but have little tolerance for firms that do it poorly. The stakes couldn’t be much higher.
Marketing technology vendors offer many personalization tools to help. But those tools need data to pick the right experiences for each customer. And they need not just any data, but accurate, organized and accessible data that includes information from all sources, presents an integrated picture of each customer, adds intelligence to help guide decisions and is easily available to the systems that deliver the front-line experiences. It’s easy to overlook the need for this data while exploring the latest new gadget for automated video creation or augmented reality advertising. But quality data is the fuel those other systems run on. Without it, they’ll sputter to a halt or spew wildly inappropriate experiences that annoy customers even more than no personalization at all.
Unfortunately, assembling quality data is hard. Traditional methods have consistently failed to meet marketers’ needs: it’s painfully common to hear stories of data warehouse projects that dragged on for years before finally being canceled without delivering anything useful. Systems that run “in the cloud” don’t magically solve problems, since all that cloud-based data still needs to be brought back to earth to be unified, refined and exposed. Building direct connections between individual systems can sometimes close a few critical gaps on a short term basis, but becomes increasingly unwieldy as marketers continue to add new systems that must be included.
A new solution has recently appeared: the Customer Data Platform (CDP). As purpose-built products designed from the start to assemble and distribute customer data, CDPs promise to be faster, easier, cheaper and more flexible than previous solutions. But CDPs are not widely understood and such promises rightly arouse much skepticism. This paper aims to dispel the skepticism by explaining what CDPs are, why they overcome previously unsolvable problems and how you take advantage of them.
2018 sees the long-awaited General Data Protection Regulation (GDPR) enter into enforcement starting May 25th. It is a once-in-a-lifetime change to the legal basis on which individuals share their data with organizations.
DataIQ undertook twin-track research in the UK to examine how consumers expect their data to be used and whether they intend to exercise their new rights, as well as into what organizations intend to do to bring their data-driven practices into line with the Regulation. The project had three key objectives:
The research was built around four key areas of data protection and privacy management: mobile and digital (the issues specific to those channels), relevance and accuracy (how data should be kept upto-date), readiness (how consumers and businesses are preparing for GDPR) and regtech (how technology can support GDPR compliance). Results from the research are presented in a series of four white papers, each of which looks at one of these areas.
This whitepaper specifically focuses on the research segment conducted by DataIQ in association with Tealium. It looks into the how aware consumers are of the way data is collected from their mobile and digital footprint, as well as how businesses rely on these data streams to deliver personalized services and a better customer experience.
Website performance matters. Many factors impact site performance, including the speed of the hosting provider, page design, number of http requests and more. One big factor is the accumulation of digital marketing vendor tags and pixels on web pages. Tags can dramatically impact site performance in a number of ways– poor tag design, synchronous tags can block content, slow response time associated with the collection servers, tag placement and the sheer number of tags accumulated on pages.
Over the years, Tealium has pioneered many of the best practices in tagging and has incorporated various techniques to minimize the effect of tags on website performance. They include:
This whitepaper provides more details about these techniques and their associated benefits.
Organizations today are handling an inordinate amount of data from different sources and to help make sense of this influx they’re using data storage and analytics solutions. Yet, it can be a challenge to collect customer data from multiple technologies, sources, and touchpoints to be able to enrich it in a way that produces a unified data set on every customer. These complete and comprehensive data sets are needed, though, because they become the necessary foundation for driving and delivering meaningful, consistent and relevant customer experiences.
Brands are leveraging enterprise data storage technologies like Data Lakes and Enterprise Data Warehouses (EDWs) to house customer data. However, those solutions alone won’t allow an organization to capture, correlate and manage their real-time incoming data to support customer data initiatives aimed at creating unified customer experiences.
This paper will highlight key differences, benefits, and challenges of Enterprise Data Warehouses and Data Lakes, and introduce the one, key solution every brand should employ to create and drive unified customer experiences.