The success of your data analytics process will not be possible without utilizing the right software tool.
The business industry is a very competitive environment. Add in the ever changing trends in technology makes it even more cutthroat. This is why the use of data analytics has helped organizations have a clearer picture about their business. Also, know more about the market industry in general.
Companies are able to collect endless information through the use of technology and the internet. Data analytics allows organizations to put these sets of information into good use by drawing valuable conclusions from specific data sets.
Data analytics definition
Data analytics is the process of analyzing various data sets to obtain useful insights. This helps business leaders make better decisions for the company’s overall success. Part of the data analysis process is making use of statistical methodologies and techniques. It also includes the use of software tools to gather, organize and analyze data.
Why is data analytics important to your business?
To understand more about the benefits of data analytics, here’s how it can help your business. Incorporating this process into your business strategies allows you to:
- Distinguish who your target customers are, their age range, gender, behavior, and location. This will help you target the right audience in terms of your marketing efforts.
- Have a clear understanding of how your customers think about your business. This helps in determining which aspects of your business you need to improve based on your customers’ feedback.
- Predict trends and how your customers will behave in the future.
- Assess how your company is currently doing and make informed decisions based on the results of your data analysis.
Data analytics software tools
The success of your data analytics process will not be possible without utilizing the right software tool. Below is a list of data analytics tools you can use in your data analysis:
Tableau
Tableau is a business intelligence tool that allows you to visualize, understand and analyze your data. It has a drag and drop feature with data visualization dashboards that can be shared through social media or across different members or your company. It can connect any type of data from different sources like spreadsheets, data base, cloud, etc.
Python
Python is a free and open source tool that has sets of libraries for different kinds of scientific computing. This tool is initially made for software and web development and later on enhanced for data science. Its use is very similar to Javascript, PHP, or Ruby and it can also be assembled on different platforms like JSON or MongoDB database.
SAS
This is another business intelligence tool that is commonly used for predictive analytics and data management. SAS software tool allows you to create, import, modify, merge, and calculate data. It also has a visual analytics software that enables interactive dashboards, text analytics, smart visualization, etc.
Power BI
Power BI is a business analytics software created by Microsoft. It enables you to visualize your data and share your results with people across your organization. It can also be connected with other tools like Microsoft Excel and it comes with three versions Desktop, Pro, and Premium.
Another option for data analytics is by subcontracting to reliable outsourcing providers. Outsourcing will not only save you from this tedious process, it will also save you from having to spend much on hiring data analysts. More so, spending on the resources needed.
In addition to that, outsourcing providers like OP360 have other services that can help in enhancing your overall productivity.
