Data analytics is the process of analyzing raw data in order to draw conclusions. Data analytics are used to study all kinds of data, including productivity, production, profit/loss and much more.
Each day, an estimated 2.5 quintillion bytes of data are created. The past two years alone accounted for 90% of this data creation. But what to do with it all? This is where data analytics comes in.
Both Data Analysts and Data Scientists work with data. The difference between these two related fields is what is done with this data.
Data analytics is a broad term for the process of evaluating raw data in order to draw conclusions that can be used to provide useful insights that will drive decision-making at a company or business.
Presenting data in a visual manner makes it easier to understand and faster to process, even for those who aren’t mathematically inclined or trained in analytics. These visual representations of data aren’t just visually appealing, they also tell a story about the information, allowing audience members to spot outliers, notice trends, and see patterns emerge from data.
Data analytics strives to analyze as much of this data as possible in order to spot customer trends, provide more effective services and better products, and ultimately help businesses make better decisions.
There's never been a better time than now to start a career in data analytics. For those who are considering starting a career in the field of data analytics, the great news is that there is no one “right” path.
Those working with data must wear many hats; they have to have an understanding of how to collect and clean data, patience for analyzing large sets of data, a knack for storytelling, and a passion for finding ways to visualize their findings so that they can be shared with others and ultimately acted upon. The following are some of the main skills, tools, and types of training employers value when deciding whether to hire Data Analysts.
This suite of architectures, technologies, processes, reporting, and data visualization products can be used to extract meaningful information from raw data.
Tableau is the fastest-growing platform for visual analytics on the market. It allows users to simplify raw data into a format that’s easy to access and understand by those working at any level of an organization.
Two of the most popular data visualization products currently on the market are Microsoft Power BI and Tableau. But which one is the best for your workplace?
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