Effect of Big Data Analytics on Choice precision: Intervening Factor of Data Visualization

Abstract

Big data is turning into something really important for companies these days, especially when it comes to making decisions based on data. I mean, organizations are relying on it more and more as a key resource. This paper looks at how using big data affects the quality of decisions, and it pays special attention to data visualization as something that helps in between. Having all that huge amount of data around does boost what you can analyze, but figuring out what it means and sharing those ideas clearly is still tough. It seems like that's the main hurdle. The approach here is more conceptual, just trying to think through how visualization connects the messy raw data to actual smart choices people make. From what comes up, utilizing big data does help improve decision quality in a positive way. But it gets a lot better when you throw in good visualization tools. Those tools make it easier to understand stuff, they cut down on feeling overwhelmed by info, and they let people pull out useful actions quicker. Kind of like turning a pile of numbers into something you can actually use. Data visualization ends up being this important middle step that changes complicated data into info that makes sense, and that boosts how good the decisions are overall. Not totally sure if everything ties together perfectly, but it feels like that's the big point. Some might argue it's not always that straightforward though.