Data Analysis Practice
Data analytics is analyzing raw data to make conclusions about that information. Many data analytics techniques and processes have been automated into mechanical methods and algorithms that work over raw data for human consumption.
Data analytics is a broad term encompassing many diverse data analysis types. Any information can be subjected to data analytics techniques to get insight that can be used to improve things. Data analytics techniques can reveal trends and metrics that would otherwise be lost in the mass of information. This information can then be used to optimize processes to increase the overall efficiency of a business or system.
Our Data Analysis practice includes industry experts and we use some of these popular tools:
- R and Python
- Microsoft Excel
- Tableau
- Power BI
- Apache Spark
- QlikView
