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But in the majority of businesses, if the available data are crunched, it shows a slowly growing industry — one growing with GDP or population. That generally convinces the company in question that there aren't really opportunities for top-line growth, and that in turn becomes a self-fulfilling prophecy.
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The fundamental reason is that analysis of data is all about the past. Data analysis crunches the past and extrapolates it into the future. And the past does not include opportunities that exist but have not yet happened. So, analysis conspicuously excludes ways to serve customers that have not been tried or imagined or ways to turn non-customers into customers.
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Thus the more we rely on data analysis, the more it will tell a dour story on top-line growth — and not give particularly useful insights.".
Por isto, também por isto, é que a tríade só conhece o preço como alavanca competitiva. Por isto, também por isto, é que falo de relações amorosas com clientes, fornecedores e produtos. Por isto, é que escrevo sobre o "optimismo não documentado"... e lembram-se da frase "valor não é um cálculo, é um sentimento"?
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Quando as empresas em sectores competitivos contratam gestores de topo que não conhecem o negócio... como é que eles podem adquirir este conhecimento não documentado? E quando conhecem o negócio, como podem fugir à armadilha da análise?
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O CEO da Office Depot's Kevin Peters responde a estas perguntas!!!
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Observando e conversando com os clientes!!!
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Antropologia pura e dura!!!
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"If instead, the core tool is not analysis but rather appreciation —deep appreciation of the consumer's life — what makes it hard or easy; what makes her (in this category) happy or sad — there is the opportunity to imagine possibilities that do not exist.
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Organizationally and behaviorally, analysis and appreciation are two very different things. Analysis is distant, done in office towers far from the consumer. It requires lots of quantitative proficiency but very little experience in the business in question. It depends on data-mining: finding data sources to crunch, often from data suppliers to the industry. Appreciation is intimate, done in close proximity to the consumer. It requires qualitative proficiency and deeper experience in the business. It requires the manufacture of unique data, rather than the use of data that already exists.
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In my experience, most organizations have more of the former capabilities and behaviors than of the latter and hence most struggle with top-line growth. The biggest issue isn't the absence of top-line growth opportunities but rather the lack of belief that they exist. And that is driven by the dominance of analysis over appreciation."
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