Data visualization
Practical uses of Data visualization
Data visualization is the process of transforming raw data into visual representations. This comes in the form of graphs and tables. One of the most valuable aspects of visualization is the ability to spot trends that typically wouldn’t be know. Graphs will contribute the predictive analysis end of decision making.
General use
Besides the practical uses of graphs, we frequently use them to save time. Instead of presenting a confusing set of results, a graph is much more user friendly and accepted. This leads to a higher understanding of what is being portrayed. Both a statistical and visual analysis will be provided and interpreted regardless.
Data Analysis
What is Data Analysis
The actual process of data analysis is complicated, and out main service. Data analysis is process of taking raw data, cleaning it, preparing it for statistical testing, organizing it to be properly represented, and finally interpreting it. Data has many moving parts so compiling it into a real analysis takes various different techniques and software programs.
What Data is relevant?
In terms of data analysis, any data is relevant. There is no data that can’t play a role in the bigger picture. In our process we take in as much data as possible and determine the relevancy of each data type. Depending on the situation, we may also use less relevant data to prove another point. Regardless of data type, we dont suggest restricting what you send to us.
What is the value of Data Analytics
The value comes from what may be hiding in your data. This could look like an underperforming sector, an inefficiency in routine task, a key trend or pattern that isn’t being taken advantage of. Typically finding errors in operations by using data will inevitably lead to a higher profit level.
Data can also be used to predict an event, which will help your firm prepare. By using trends in your business and applying statistics we will forecast an event and give likelyhood of said event.
Data Storytelling
What is Data Storytelling
This is the final process of all data preparation is data storytelling. This is process of presenting the data to the client in a way that makes it make sense. This will reveal key insights from the project and bridge the gap between data and action.
Data storytelling is used for all technical and non-technical audiences to understand. This means after you’ve received the last pieces of the project you should be able to explain the data on your own.
in end, data storytelling breaks down confusing concepts into a user-friendly presentation that requires less technical interpretation.