In the era of digital transformation, companies are collecting almost every type of data. Financial, logistic, employee data are just a few examples. However, at least one important type of data that most businesses miss is internal “Decision-Making Data.”

Decision-Making Data

The “Decision-Making Data” is probably the most important, expensive, and complex data that every organization produces internally but rarely collected.

The main challenge is to have the data and rely on it on time but not late as in real-world tasks, and the environment changes constantly. …

Peter Drucker, one of the great management theorists, stated this idea:

“You can’t manage what you can’t measure.”

It’s hard to define success. Cognitive biases and external pressures get in the way of people realizing what they want in life. Success and failure are some of the most iconic duos. Most of us believe that they are mutually exclusive since by having one, you cannot have the other.

Success is measured based on the initial expectations we hold for a project or a situation. Everything lower than the “success” threshold is considered a failure. …

Data-Informed Tech Culture

The most straightforward way to figure out if a company is data-informed is by looking at how individual contributors use data to plan, analyze, and act. In a data-informed culture, contributors justify their decisions with data and challenge the management team to do the same.

It’s fast and effective to use data, and it increases transparency across the organization. Emotions and intuition take the back seat. When there’s no robust data-informed culture, there may be a lack of backing in decision making. …

Harutyun Baghdasaryan

Technology leader with a demonstrated history of helping individuals, teams, and leaders create success.

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