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Win/Loss Analysis: Everything You Need to Know

Crayon

Win/loss analysis is an essential practice for anyone who wants to better understand their competitive landscape and continuously optimize processes across sales, marketing, product management, and beyond. By the time you’re done reading, you’ll have an answer to each of the following: What is win/loss analysis?

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AI & the enterprise: protect your data, protect your enterprise value

CIO

Data theft leads to financial losses, reputational damage, and more. And with powerful AI techniques that extract deep details from stolen datasets, even small data losses can have seismic impacts. Human error in data loss Human error remains a critical weak link in d a ta loss. Things will get worse.

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4 Must-Ask Questions For Your Win/Loss Interviews

Crayon

Win/loss analysis—the process of determining why deals are won or lost—yields insights that practically everyone across your organization can use to their advantage. Marketers get insights that they can use to optimize their messaging. Sales reps get insights that they can use to improve their objection-handling tactics.

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Why ethical AI should be important to CIOs

CIO

There was a survey done by DataRobot in 2022, and algorithmic bias actually caused a loss in revenue of 62%, and a 61% loss in customers. There was a 43% loss in employees, not to mention the legal fees. I think about lost markets. There are business implications. What are your major concerns about AI?

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3 Ways Product Marketers Can Win (More!) with Crayon’s Competitive Win Loss Tools

Crayon

It's Monday morning. You haven’t even taken the first sip of your coffee. You touch your right index finger to the magical biometric scanner thing on your MacBook. Your company-approved desktop wallpaper comes alive with apps.

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Radically Reduce Downtime and Data Loss with SaaS-based Disaster Recovery

CIO

Downtime and data loss are common – and expensive. The cost of downtime and data loss. Financial losses represent only part of the problem. Data loss, productivity, and brand reputation are also at stake. Data loss, productivity, and brand reputation are also at stake.

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AI brings complexity to cybersecurity and fraud

CIO

Artificial Intelligence has sharpened both edges of the sword, as organizations are better equipped to defend against cybersecurity conundrums that are finessed to be deadly, wide-ranging and impacting operations and market reputation. Regular audits ensure compliance with evolving regulations while promoting AI literacy among employees.

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