Summary of Rishad Tobaccowala's Restoring the Soul of Business
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#1 The same data-driven technologies that gave rise to such wealth and opportunity were being used in harmful ways, leading to the breakdown of trust, increased polarization, and rising inequality.
#2 The spreadsheet is dominating the story in organizations. Data is abundant, and it is not messy or nuanced like feelings. It feels certain, while hunches are uncertain. Data is a common language that everyone in a global world can read.
#3 Math is all the data flowing through organizations, and meaning is all the intangible feelings and perceptions surrounding people, products, services, and the companies themselves. Organizations have always used data in various ways, but because of technological advances, data has now become a ubiquitous presence in every nook and cranny.
#4 Meaning can be found in many different places in an organization, from how the majority of bosses treat their employees with respect to how the CEO speaks to analysts and how bonuses are calculated.
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Summary of Rishad Tobaccowala's Restoring the Soul of Business - IRB Media
Insights on Rishad Tobaccowala's Restoring the Soul of Business
Contents
Insights from Chapter 1
Insights from Chapter 2
Insights from Chapter 3
Insights from Chapter 1
#1
The same data-driven technologies that gave rise to such wealth and opportunity were being used in harmful ways, leading to the breakdown of trust, increased polarization, and rising inequality.
#2
The spreadsheet is dominating the story in organizations. Data is abundant, and it is not messy or nuanced like feelings. It feels certain, while hunches are uncertain. Data is a common language that everyone in a global world can read.
#3
Math is all the data flowing through organizations, and meaning is all the intangible feelings and perceptions surrounding people, products, services, and the companies themselves. Organizations have always used data in various ways, but because of technological advances, data has now become a ubiquitous presence in every nook and cranny.
#4
Meaning can be found in many different places in an organization, from how the majority of bosses treat their employees with respect to how the CEO speaks to analysts and how bonuses are calculated.
#5
Organizations make a huge mistake when they become overly focused on the data. People are unpredictable, and just because you’ve accumulated lots of great data on a given group doesn’t mean that you can use it in a positive way.
#6
The more accessible and easy it is to obtain information, the more likely organizations will capitalize on it. Data is the spine that holds the organization together, and it affects every significant decision and communication.
#7
The 6 I Approach is useful for gaining insights and understanding data: Interpret, Involve, Interconnect, Imagine, Iterate, and Investigate. It helps you enrich the data with meaning, identify the story it’s telling, and inspire solutions.
#8
Companies need to create policies and protocols for processing data. The increase in data corresponds to the increase in data that is slanted, outdated, or just plain wrong. Without a