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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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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. Product managers get insights that they can use to adjust their roadmap priorities. Sales reps get insights that they can use to improve their objection-handling tactics.

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What is data architecture? A framework to manage data

CIO

Data architecture definition Data architecture describes the structure of an organizations logical and physical data assets, and data management resources, according to The Open Group Architecture Framework (TOGAF). In addition to using cloud for storage, many modern data architectures make use of cloud computing to analyze and manage data.

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Data Loss: Hazards, Risks and Strategies for Prevention

Smart Data Collective

One way to mitigate the loss of vital information is to have a sound backup system, which will improve the chances of recovering the data. Loss of data can be costly for an enterprise. The most common cause of loss of data is human error. Cost of data loss and the factors that drive its cost.

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Why your best IT managers quit

CIO

It’s one of those sayings that sticks around: People quit managers, not jobs. When it comes to why your best IT managers quit, the answer is yes, no, and maybe. But top-tier managers may bail for myriad other reasons, too, even if their own bosses are superstar managers. Because when issues pile up, managers will quit.”

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

CIO

Common pain points include management overhead and rising costs, with their overall impact on budget becoming a larger and larger concern. Downtime and data loss are common – and expensive. The cost of downtime and data loss. Financial losses represent only part of the problem. But it’s not just the price tag.

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Why Is Data Loss Prevention is Crucial for Business?

Smart Data Collective

Data loss is a serious problem for many businesses. An estimated 94% do not survive a catastrophic data loss. Data loss prevention (DLP) strives to protect your business data from inside or outside compromise. This includes data leakage, data loss , misuse of data, or data compromised by unauthorized parties.

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