In a competitive online market, digital marketers are constantly looking for an edge. A vs. B data testing can provide this advantage, helping organisations assess the success of their newest online features and offers.
As businesses adapt to new cyber security threats, data security training has become a crucial professional asset. Since corporate cyber attacks typically target uninformed employees, businesses are increasingly calling upon their staff to minimize hacking risks.
Charitable organisations seldom have the cyber security resources of private sector businesses, but secure data is often just as important in the non-profit sector. With confidential donor information and sensitive policy figures, nonprofits are becoming increasingly aware of their cyber security needs. Compounding these factors, non-profit organizations are often faced with limited operational budgets, requiring them to cut unnecessary spending.
From fraud detection to Netflix recommendations, machine learning is changing the way people interact with digital platforms. Among the most influential of data science methodologies, machine learning uses data algorithms to make predictive decisions. These data-driven platforms require the expertise of data scientists, who develop high-performing algorithms to trace patterns and predict future behaviours.
Marketing efforts are critical to most businesses' strategies for raising awareness of themselves and their products. Given this importance, there's a real need to be able to identify successful strategies, upward and downward sales trends, and other data indicative of the ongoing effectiveness of marketing. Consequently, professionals in the sector today are increasingly seeking out training in data science to help drive their efforts.