Business Analyst: Digital Director for AI and Data Science
IT Business Analysis in The Age of Artificial Intelligence, Data Analytics, and Machine Learning
An Overview of Business Analysis Activities and Current Business Analysis Techniques
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IT Business Analysis in The Age of Artificial Intelligence, Data Analytics, and Machine Learning
Bridge the gap between analytics and execution, and actually translate analytics into better business decision-making! Now that you've collected data and crunched numbers, Applied Business Analytics reveals how to fully apply the information and knowledge you've gleaned from quants and tech teams. Nathaniel Lin explains why "analytics value chains" often break due to organizational and cultural issues, and offers "in the trenches" guidance for overcoming these obstacles.
Businesses now more than ever are relying on data analysis to maximize sales and understand consumer trends. Regardless of your role or job function, just about everyone in today's climate is expected to have some skills in this area. As the field of data analysis becomes more integral to business strategy it is imperative to gain the knowledge that will set yourself apart from the competition and benefit your career prospects.
Today, business success depends on making great decisions - and making them fast. Leading organizations apply sophisticated business analytics tools and technologies to evaluate vast amounts of data, glean new insights, and increase both the speed and quality of decision making.
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