The SiriusDecisions B-to-B Marketing Automation Study Infographic

July 8, 2019

Does the organization have a valid and agreed-upon process of what its revenue engine looks like?  Is the marketing function speaking the same language as the sales team? Or are they focusing only on the lead when sales is more interested in pre-qualified, early-stage opportunities? How can sales teams view the entire revenue engine and add insight to opportunities at all stages of development?

Spotlight

Qumulo

Modern enterprises have to manage exponentially-growing petabyte-scale data stores comprised mostly of unstructured data. Someone (often IT) has the difficult job of staying on top of managing these data stores, which becomes more difficult to do as enterprise datasets expand from the data center to the edge and cloud. And while scale and complexity are rising, budgets and staff are not. Existing solutions suffer from two crucial shortcomings: Complexity and platform lock-in. Legacy solutions are excruciatingly complex to deploy and manage. And nearly every solution restricts users to running in only the data center and on expensive, inflexible proprietary hardware platforms.

Other Infographics
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Active directory IT security infographic

Infographic | January 24, 2020

Active Directory is a great technology. In fact I can’t image life without it. It’s pretty easy to set up, with every Microsoft Server release it gains additional options that make life for IT easier. Did you know that only 5% of 1000 fortune companies don’t use AD to organize their environment?

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CYBER SECURITY EXPOSURES INFOGRAPHIC

Infographic | January 16, 2020

It seems counterintuitive that cybercriminals would focus on small businesses. Major news outlets report on the largest incidents, which typically affect the largest companies. In the past, small businesses may have been able to neglect network security with little consequence, but this is not the case today. Small businesses generally have fewer IT resources and devote less time and money to cybersecurity than their larger counterparts.

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Infographic: What’s next in AI-powered cyber response?

Infographic | July 13, 2021

AI has been touted to be a game-changer for cybersecurity. It can analyse threats; rapidly detect anomalies; and filter through the thousands of security alerts organisations receive in a day. Singapore is already planning on using AI to secure its 5G networks. But AI is a resource, not a replacement. It has to be supported by the intuition of well-trained security analysts, automation, and a consolidated view of the organisation’s IT environment. Cybersecurity experts from Tanium break down how AI is speeding up cyber response, and how organisations can make the most of the tech.

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DDoS Mitigation: Pushing Business’ Cybersecurity to New Heights

Infographic | April 17, 2023

DDoS mitigation is paramount for businesses to protect against the growing threat of DDoS attacks. Learn about the ever increasing threat of DDoS attacks, the potential impact on businesses, and mitigation techniques to safeguard against them.

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The Importance of Database Security

Infographic | February 3, 2022

Security is everyone’s responsibility. Enabling business, protecting data, and managing risks are critical to literally every business. Maintaining database security is important to safeguard highly confidential and sensitive data. Between January and September 2020, about 36 billion pieces of data were compromised. In 2021, data breach costs increased from USD 3.86 million to USD 4.24 million.

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Crowdstrike Incident Response

Infographic | June 13, 2022

A modern approach to rapid response and recovery from today’s widespread security incidents. Navigating the best path through the labyrinth of a widespread ransomware attack will determine the organizational impact and recovery cost to the business.

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Spotlight

Qumulo

Modern enterprises have to manage exponentially-growing petabyte-scale data stores comprised mostly of unstructured data. Someone (often IT) has the difficult job of staying on top of managing these data stores, which becomes more difficult to do as enterprise datasets expand from the data center to the edge and cloud. And while scale and complexity are rising, budgets and staff are not. Existing solutions suffer from two crucial shortcomings: Complexity and platform lock-in. Legacy solutions are excruciatingly complex to deploy and manage. And nearly every solution restricts users to running in only the data center and on expensive, inflexible proprietary hardware platforms.

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