“ANALYTICS TO BUSINESS”
WHY? AI, ROBOTICS & BIG DATA CHANGE EVERYTHING
We have entered the era of Big Data. Data is “the new oil”, and Analytics is the way to “extract the oil”, ie. build a profitable Data-Driven business. Disruptive technologies like AI (Artificial Intelligence), Robotics, Internet-of-Things and Blockchain all heavily lean on Data and Analytics.
Not-engaging in Data and Analytics is seriously risking the future of your company. Smart business leaders understand this. Data Scientists are the key professionals who can make Data and Analytics work. So smart business leaders have already started building up a Data Science team.
DATA SCIENCE DOESN’T WORK
But there’s a problem! Companies hire scares PhD’s into prominent Data Science roles, often with excellent analytical skills. Unfortunately, most of them have limited experience in managing people and change, or little expertise in your industry.
For the maturing profession of Data Science to be effective in an organization you need both excellent analytical skills and excellent people & change skills and excellent function or industry skills. You need to “extract the oil and sell the petrol”.
So, today’s data science role is like asking someone to juggle three bowling balls! It’s too broad. The data scientist has become a jack of all trades.
In reality, once dubbed the sexiest job of the 21ste Century, data scientists spend most of their time collecting and processing data rather than finding business insights. Let alone, turning them into profitable products.
Often, the result is a frustrated data science team and frustration with the rest of the organization: data scientists blaming the rest of the organization not to understand the “absolutely brilliant things” they do for the business; and the rest of the organization clueless about how “these high-paid big data wizards” actually contribute to the business at all.