Signal vs. Noise: Why More Data Is Making Growth Harder, Not Easier

496 million TB of data are being created globally DAILY.

From 64 zettabytes of digital data worldwide in 2020 to 284 zettabytes projected for next year.

AI generating more and more data and cheaper data centers or cloud hosting allowing for more signals and meta information on customer behavior, digital footprint, signal tracking, 2nd party cookies, and other nuances (contributing to more data as we speak).

What we’re observing in the last 2 years is dealing with nearly 10x more data, yet working harder to cut through the noise and find signals that matter. LLMs add an extra layer of complexity: with limited context, RGNs tend to deviate unless you filter early on or provide vector intermediate layers feeding the right intelligence.

As a result:

1. Technology spend as product development has been going down.
2. Investments in data, revenue operations, and automation are consistently going up.
3. The loud digital noise + cheap incumbents increase the total marketing spend (CAC increasing too).

The CRM dilemma in this week’s issue of GSI below.

91% of CRM records are incomplete & AI forecasting inherits the gaps

Growth Shuttle InsiderSubscribe

91% of CRM Records are Incomplete & AI Forecasting Inherits The Gaps

Mario Peshev


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Mario Peshev is a 5x CEO and operator, founder of DevriX and Growth Shuttle, global value creation advisor, angel investor, and author of “MBA Disrupted.”

His original background in engineering rode the wave of IT entrepreneurship in the last 25 years, from product and service entrepreneurship through acquiring and selling businesses, to investing in global startups like beehiiv, doola, the Stacked Marketer, Alcatraz, SeedBlink.

Peshev spent over 10,000 hours in consulting and training contracts for mid-market and enterprise organizations like VMware, SAP, Software AG, CERN, Saudi Aramco since 2006. His books and guides are referenced in over 50 universities in North America, Europe, and Asia.


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