The Best Data Analysis Tools
Jonathan Osler is an educator with profound knowledge in data analysis. Knowing the right data analysis tools can help one get the game-changing insights needed to take a business, marketing, or career to the next level.
There is no limit to what one can do with these tools, and all of them are either free or paid apps at low prices. With all of these tools combined, it’s hard not to see how efficient data analysis work will be in the long term.
Top 6 Data Analysis Tools Osler recommends:
1. Power BI Desktop (free):
Power BI Desktop is a data visualization tool available in a paid online version. The static visualizations are great, but the real beauty of this tool is its ability to interact with dynamic data sources like SQL databases and SAP Business Objects. It can connect with the vast majority of data sources and create beautiful visualizations that increase the value of reporting and insights significantly.
Power BI uses Microsoft’s Azure cloud service to power its services, and it’s easy to get started.
2. Tableau (free):
Tableau is a data analysis tool that works with most data sources. Still, it also has its proprietary database called Tableau Public, allowing one to create their visualizations using their technology. It’s easy to get started and can even edit the data in the database.
Tableau is used by some of the largest businesses in the world, so it has that going for it. Some of its features include creating visualizations for graphs, maps, and diagrams, analyzing data quickly, and creating dashboards.
3. Apache Spark (free):
Spark is a high-performance cluster computing system built on Hadoop and designed for general-purpose machine learning tasks. It includes a sophisticated machine learning library, interactive visualizations, and SQL processing. It also played a big part in the recent scandal at Uber, which was the first significant use of Big Data technology (it’s still one of the most significant datasets for analysis).
4. R (free):
R is a free statistical software package that has been around for many years now. It provides functions for statistical analysis such as calculations of probability and multiple regression and data visualizations with graphics and data tables. A wide variety of organizations use it.
5. SAS (paid):
SAS is a data analysis tool that can connect to many data sources and has tremendous in-depth functions for statistical analysis, correlation, and more. It also includes visualization tools to present findings in graphs and tables. It’s used by a wide variety of public and private organizations worldwide.
6. DataRobot (free)
DataRobot is a data analytics platform that uses technology to automate data analysis. It’s been used by organizations such as Home Depot, The World Bank, and many others. It uses an automated machine learning system to select the best models for each problem, creating accurate and efficient data analytics for your business.
Jonathan Osler suggests that you find the right data analysis tool that best works for you and get the insights you are after.