How Leadership Can Create A Data-Driven Culture And New Careers In The Future Workplace

Why am I writing about "big data?" The answer is simple: Big data isn't huge — it’s massive. By 2020, the digital universe will grow to hold 44 trillion gigabytes of data, a result of data amounts more than doubling every two years. As information from digital platforms such as wireless sensors, virtual reality applications and billions of mobile phones increases, so does the data storage capacity. Simultaneously, the cost of this storage has decreased. Data shapes the world in which we live in every way possible.

As a business, leadership and career expert, I increasingly find myself working with technology professionals who are answering this expanding need. With the seemingly endless potential of Big Data, it is not surprising that data scientists who have the skill to harness its potential are some of today's best-paid professionals, earning an average of $130,000 per year. Why so highly compensated?

In coaching and corporate leadership, data is becoming increasingly important. Complementing business leadership teams tasked with crafting company strategy, data scientists could provide insights that can inspire decisions that would create competitive advantage. Taking advantage of insights from data can reduce risk and increase organizational efficiency through improvements. We embrace data-driven decision making for the future of work and leadership in our organizations, but for a company to fully adopt this practice, the culture of the firm must support it.

Creating a data-driven culture for an organization is more than just having a team of data scientists. To enable data scientists to do their job, management must be willing to invest time and money into building infrastructure, acquiring technology and providing relevant business leadership training. This includes a management team that understands the methods of big data, data analytics and data science. Most importantly, management must understand that the results are only as good as the decision makers themselves.

Since the future of work revolves around data, organization-wide access to data and insights must be provided to facilitate decision making. Then, decision makers do not have to wait for analysis or reports by the data science team. With the data exposed to more employees, more perspectives could increase fresh and groundbreaking insights on a given business challenge.

Why am I writing about "big data?" The answer is simple: Big data isn't huge — it’s massive. By 2020, the digital universe will grow to hold 44 trillion gigabytes of data, a result of data amounts more than doubling every two years. As information from digital platforms such as wireless sensors, virtual reality applications and billions of mobile phones increases, so does the data storage capacity. Simultaneously, the cost of this storage has decreased. Data shapes the world in which we live in every way possible.

As a business, leadership and career expert, I increasingly find myself working with technology professionals who are answering this expanding need. With the seemingly endless potential of Big Data, it is not surprising that data scientists who have the skill to harness its potential are some of today's best-paid professionals, earning an average of $130,000 per year. Why so highly compensated?

In coaching and corporate leadership, data is becoming increasingly important. Complementing business leadership teams tasked with crafting company strategy, data scientists could provide insights that can inspire decisions that would create competitive advantage. Taking advantage of insights from data can reduce risk and increase organizational efficiency through improvements. We embrace data-driven decision making for the future of work and leadership in our organizations, but for a company to fully adopt this practice, the culture of the firm must support it.

Creating a data-driven culture for an organization is more than just having a team of data scientists. To enable data scientists to do their job, management must be willing to invest time and money into building infrastructure, acquiring technology and providing relevant business leadership training. This includes a management team that understands the methods of big data, data analytics and data science. Most importantly, management must understand that the results are only as good as the decision makers themselves.

Since the future of work revolves around data, organization-wide access to data and insights must be provided to facilitate decision making. Then, decision makers do not have to wait for analysis or reports by the data science team. With the data exposed to more employees, more perspectives could increase fresh and groundbreaking insights on a given business challenge.