Data Security for the Way People Work

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?

Data security is at the top of the priority list for most organizations, as well it should be. Threats have never been more numerous, more varied or more dangerous. Phishing attacks, malware, ransomware, BIOS attacks and advanced persistent threats (APTs) are multiplying relentlessly (see sidebar). The dangers of data loss, extortion and identity theft are real. The global average cost of a data breach is $3.62 million USD, according to Ponemon Institute.

Download this white paper from Dell and Intel® to learn more.

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The Total Economic Impact of Dell’s PC Lifecycle Services

Both public and private organizations acknowledge that managing the PC life cycle becomes more complicated and expensive as the variety of PC devices and employee workstyles increase. In order to be fully productive, different groups of employees have different needs in terms of end-user device hardware, software, and configuration. Dell and Intel® commissioned Forrester Consulting to conduct a Total Economic Impact™ (TEI) study and examine the potential return on investment (ROI) enterprises may realize by leveraging Intel® Core™ vPro processors and Dell’s ProDeploy Plus and ProSupport Plus services.

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The PC Lifecycle Continuum: From Control to Transformation

As diverse organizations seek to implement data-driven strategies, the personal computer in all its varieties remains the key workforce productivity tool. IT leaders must guide PC management across the entire PC lifecycle to enable users to work most effectively.

Today, IT leaders address the PC lifecycle across a continuum from control to transformation. Control is geared to optimization, while transformation focuses on the business impact of technology. Although different, the two approaches are not in opposition. According to the recent Forrester Consulting study, “Digital Transformers Innovate, Digital Controllers Optimize,” both approaches strive for the same goals and face similar challenges.

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Forrester Opportunity Snapshot: Digital Controllers Optimize, Digital Transformers Innovate

Today, IT is tasked with increasing operational efficiency, whilst arming employees with the right tools, products, and services to get their jobs done. Enterprises need the power of the latest technology to keep up with constantly changing digital environments and a highly mobile and demanding workforce. And although, the two types of IT, controllers (linear, IT-centric, and insular) and transformers (agile, employee-centric, and flexible) have different approaches, they face similar challenges when enlisting the help of vendors that will enable them to focus on the more strategic tasks of understanding their employees’ needs.

Download this white paper from Dell and Intel® to learn more.

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Fixing IT’s Blind Spots

Sensitive data exposure. Compliance violations. Insider threats. Unbeknownst to IT, many of these security risks lurk within SaaS apps like G Suite, Slack, Dropbox, and more.

Learn how you can uncover (and eliminate) the eight biggest blind spots.

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The IT Guide To SaaS Ops And Management

While SaaS helps organizations meet ever-evolving demand, the need for comprehensive management and operational SaaS security has become strikingly clear. That’s why we created the first-ever SaaS Application Management & Security Framework, which is based on insights from interviews, surveys, and conversations with thousands of IT professionals over the last three years. It outlines a modern-day approach to SaaS management and includes guiding principles to help IT achieve security goals and requirements in SaaS environments.

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Closing The Gap In SaaS Security

Companies lack the ability to monitor and manage the interactions going on across SaaS applications. Join experts from Okta and BetterCloud for a deep dive on the #1 item on the roadmap for today’s IT and security teams. This webinar covers:

  • Beyond IDaaS: the key differences between user connections and user interactions.
  • Understanding insider threats: how susceptible are you?
  • Forming a systematic approach to managing and securing user interactions across a sprawling SaaS landscape.

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Becoming Master Of Data & Analytics

To stay competitive in an increasingly digital world, businesses must become masters of data. By 2020, more than seven billion people and companies, and at least 35 billion devices, will be wired to the web. Success now depends on not only keeping up with fast-paced digital innovation, but also harnessing the continual data explosion it creates; and this will mean a sizeable shift in the way companies handle their insights.

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Switched On Consumers

In Autumn 2018, DataIQ in association with Tealium carried out a research project among consumers exploring their awareness of how personal information is being requested and used on web sites and apps they use, as well as what influences their attitudes during this data-value exchange. A digital survey tool serving questions into the programmatic ad space was used to reflect the data collection experience being examined.

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CDP Before You Buy

Insights, Strategies, and Key Tactics to Inform Your Decision

An explosion of data from online and offline data sources means today's businesses rely on technology to correlate and enrich the data they collect, to curate a meaningful, granular understanding of each individual customer. Recent estimates suggest that global annual data generation will reach a staggering 163 zettabytes (163 sextillion bytes) by 2025, so the urgency for a technological data management solution is at an all-time high.

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Switched On Consumers

In Autumn 2018, DataIQ in association with Tealium carried out a research project among consumers exploring their awareness of how personal information is being requested and used on web sites and apps they use, as well as what influences their attitudes during this data-value exchange. A digital survey tool serving questions into the programmatic ad space was used to reflect the data collection experience being examined.

Get Whitepaper

Becoming Master Of Data & Analytics

To stay competitive in an increasingly digital world, businesses must become masters of data. By 2020, more than seven billion people and companies, and at least 35 billion devices, will be wired to the web. Success now depends on not only keeping up with fast-paced digital innovation, but also harnessing the continual data explosion it creates; and this will mean a sizeable shift in the way companies handle their insights.

Get Whitepaper

CDP Before You Buy

Insights, Strategies, and Key Tactics to Inform Your Decision

An explosion of data from online and offline data sources means today's businesses rely on technology to correlate and enrich the data they collect, to curate a meaningful, granular understanding of each individual customer. Recent estimates suggest that global annual data generation will reach a staggering 163 zettabytes (163 sextillion bytes) by 2025, so the urgency for a technological data management solution is at an all-time high.

Get Whitepaper

The Future of IT Ops is Autonomous

Today’s IT stack is more complex and more dynamic than ever before. This means that IT Ops teams must support both the legacy infrastructure accumulated over the years, and modern, ephemeral technologies mandated by cloud-first architectures. Stretched thin, and relying on legacy IT Ops tools, IT Ops teams are unable to effectively do this, resulting in a rising tide of outages, poor app performance and service disruptions. This takes a toll on the business, IT leaders and IT Ops teams.

What’s the answer? Artificial Intelligence (AI) and Machine Learning (ML). AI and ML can help IT Ops teams handle and resolve IT problems at scale, by intelligently automating various aspects of IT incident management. But that’s not all. Over time, as IT Ops teams and enterprises experience the benefits of automation, IT Ops will be able to move from simple automation to a more autonomous mode of operation. In this white paper, noted industry analyst Nancy Gohring from 451 Research describes how AI and ML help drive automation in IT Ops, why IT Ops will move from automation to autonomous over time, and key considerations for IT leaders as they embrace automation and autonomous operations.

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The Future of IT Ops is Autonomous

Today’s IT stack is more complex and more dynamic than ever before. This means that IT Ops teams must support both the legacy infrastructure accumulated over the years, and modern, ephemeral technologies mandated by cloud-first architectures. Stretched thin, and relying on legacy IT Ops tools, IT Ops teams are unable to effectively do this, resulting in a rising tide of outages, poor app performance and service disruptions. This takes a toll on the business, IT leaders and IT Ops teams.

What’s the answer? Artificial Intelligence (AI) and Machine Learning (ML). AI and ML can help IT Ops teams handle and resolve IT problems at scale, by intelligently automating various aspects of IT incident management. But that’s not all. Over time, as IT Ops teams and enterprises experience the benefits of automation, IT Ops will be able to move from simple automation to a more autonomous mode of operation. In this white paper, noted industry analyst Nancy Gohring from 451 Research describes how AI and ML help drive automation in IT Ops, why IT Ops will move from automation to autonomous over time, and key considerations for IT leaders as they embrace automation and autonomous operations.

Get Whitepaper