Feb
“Data Scientist in Residence”, “Chief Data Officer”, “Big data engineer”…the data science buzzword du jour is “Data Scientist.” These data scientists are part data analyst, part statistician and part software developer. With data quickly becoming a top strategic business priority for many companies, the need for data scientists will only increase – especially as we move toward an ever more data-driven world.
If data represents a strategic asset for your company, then you should be wondering if a data science team is needed and is it better to buy or rent the talent? Data analysis can be done by anyone with analytical skills, right? Well, the functions of a data scientist on a data science team are broader than initially meets the eye….and they typically need to work closely with data analysts and subject matter experts.
Data Scientists are in demand, and the salaries for US-based professionals can easily reach six-figure levels (about $120K + benefits according to Indeed). The number of data science jobs is expected to grow by 24% over the next five years. But do you really need a team of data scientists?
Jan
Curious About AI in Marketing? 7 Critical Questions
jerry9789 0 comments artificial intelligence, Burning Questions
Artificial Intelligence(AI) has recently been integrated into marketing and is still in its early stages. It makes automated decisions based on available data and audience observations or economic trends that impact marketing. By doing so, it enables marketers to gain more insight and understanding of their target audiences.
However, a business must comprehend how AI Marketing works and its effects before adopting it. Here are seven questions every company interested in AI Marketing should ask themselves.
Jan
Leadership in 2023 Begins with Advanced Analytics
jerry9789 0 comments artificial intelligence, Burning Questions
Since the advent of Big Data Analytics over a decade ago, the challenge has been to gather the data so that you can see the data and display it in such a way as to allow it to be useful in the day-to-day processes of a business. Dashboards are very popular for this exercise— and rightly so. However, your dashboards are a crutch used to identify things from the past and correct them. They help you learn the 6… 8… or 10 things that your team needs to work on in a given amount of time. But they give you false KPIs.
Dec
Leadership vs. Management in Change and Crisis
jerry9789 0 comments artificial intelligence, Burning Questions
There’s a fascinating emerging set of literature on true leadership (versus management) of crises. One of the signal books in this genre is Upstream: The Quest to Solve Problems Before They Happen by Dan Heath. The author explains that true leaders are people whose names you don’t know. Why is that? Because true leaders use tools such as Latent Effects Modeling to discover in time T1 (i.e., now) what they will need to be worried about in time T3 (i.e., years later, when the bad thing could actually occur).
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