For investment bankers, the smaller the audience, the more expensive the content creation process. Why this needs to be rethought.
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ow technology could transform the distribution, analytics, and personalization of investment banking pitchbooks.
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How machine learning can cut costs for investment banks.
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When creating pitchbooks, testing ideas and applying existing knowledge can elevate a pitchbook. So why doesn't this happen?
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Goldman Sachs' Deal Link platform automates about half of the IPO deal process. Why bankers shouldn't be worried about robots.
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For boutique investment banks, an effective pitchbook stack is essential to making content faster, better, and easier to create.
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What if you could crowdsource a list of comps from all the other bankers in your firm?
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If we don't nurture the writing skills analysts and associates, are we creating an industry where no one knows how to craft a pitchbook?
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Why Wall Street should look to Goldman Sachs' Strats division for the future of banking. And the skills needed to be successful.
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The evolution of the knowledge worker and why bankers should consider themselves "smart creatives."
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A banker's most valuable asset is strategic advice, yet pitchbook creation means it’s what they spend the least amount of time developing.
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Benchmarking charts feature in nearly every pitchbook. Yet, each time they are created, they are a bespoke piece of content.
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Strategic ideas are a banker's best asset. But more ideas means more content has to be created. Welcome to the pitchbook paradox.
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Every new client problem requires combining existing pieces in new ways.
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Instead of throwing money and promotions at new recruits, should banks employ a model of learning?
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An average pitchbook costs about $40,000 to produce. Check out the Pitchbook Calculator to see how much yours cost.
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How the adoption of MOOCs could revolutionalize the analyst onboarding process
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Not every banker can, nor should, be a data scientist, but they should be a data samurai. The importance of a good visualization.
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