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Technology

Visual Data Analysis: The Treasure Map In Your Office

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August 4, 2016

If you ever dreamed about finding hidden treasure, you’re going to love visual data analysis. Your business has hidden treasure, but it’s hidden in your data warehouse—visual data analysis is your secret map to finding it. Read on, if you dare. . .

X Marks The Spot: Visual Data Analysis In Action

We all know that X marks the spot where treasure is buried. Why? Because it’s a type of visual data representation.  Visual data analysis is about finding out where to put that X, by analyzing reams of data, finding the literal message in a bottle, and depicting that message in a schematic form consisting of variables and their attributes.  Then, we can study the relationship between these variables by comparing them or studying their causality.

Helps speed to comprehension.
Our minds prefer to analyze data visually, or we’d have been eaten by wooly mammoths. Hearing a story while looking at pictures is how most of us learned to read. Infographics are a form of visual data analysis, and have become popular on social media because people understand the story immediately, and then want to share it.

Previously hidden relationships and patterns can be extracted.
A row and column spreadsheet designed for two-dimensional analysis is limited in its ability to draw insights from millions of data points. Data analysis in simple line graphs just isn’t enough. At this point, skilled analysts turn to statistics, and this is where visual data analysis really shines: its ability to shed light into the complex multi-dimensional areas where two-dimensional graphics can’t tell the whole story.

Enable faster action based on data.
Previously unfathomable amounts of data can now be generated with just a few clicks. But collecting and storing data is of no use unless we analyze it, and until now, analyzing and interpreting large and complex data stores -even with data analysis tools like graphs and charts – has been impossible without advanced development techniques that now take up about 80% of an average analyst’s time. Almost all analysts would prefer to be focused on communicating with visual data analysis techniques, not pulling and manipulating data.

Now Everyone In Your Company Can Join The Treasure Hunt

Interacting with multi-dimensional, varied data sets with visual data analysis tools enables everyone in your company to analyze and communicate with data – regardless of technical skill. Understanding data more deeply by using visual data analysis techniques leads to better insight and faster action. Modern data analysis is accelerated with tools like Trifacta that enable your team to decode your data’s message, no matter how deeply it’s buried in the sand.

Trifacta was designed from the ground up to help reduce data cleaning and data preparation time by: enabling better assessment of data sources, offering smart extraction that learns preferences over time, and providing easy to use, intelligent, interactive, visual analysis that improves data understanding for your entire organization.

To learn more about wrangling data in Trifacta for enhanced visual data analysis, read our Tableau partner solution brief