How many times have you or your team members tried to make sense of raw data in a large, ugly Excel spreadsheet, spending hours on that one pivot chart needed for the next quarterly meeting?
Times have changed, and we need better ways to visualize raw data and run better analysis from different angles. Today, data is everywhere and the number of data points we like to mine is also growing by the hour.
We all need to understand data to make smart business decisions, to save time and money for the next project, or to help sales team by providing timely and useful information so they can help their customers better. We need data visualization auto-generated for us and we need to have easy access to the data analysis and be able to share it with the target audience in a timely manner.
How do we get to this point?
Analytics Is the Answer
IBM Watson Analytics can effectively help in many ways to achieve these numerous goals by providing ways to automate data visualization and analysis, allowing you and your team members to focus on more important tasks.
With Watson Analytics, getting data ready for more accurate data visualizations and analysis is very easy and fast. It allows you to have better control of your data, and its built-in features and templates can help pull data from multiple sources for specific analytical goals.
Once you have imported the data, you can slice and dice in whichever way you want as per your business needs. Even if your data has hundreds of different data points, Watson Analytics can help simplify it, filter out the unnecessary information and allows you highlight key areas.
Parsing Data Made Easy
Visualization tools can help look at the same data points from different angles with just one click, applying various chart options. And it is smart enough to recommend visualization options for selected data.
The cognitive computing abilities of Watson not only allow you to ask questions in plain language, but also produce easily understandable results. Many other products require some sort of scripting language to enable such features or a specific set of pre-designed queries to produce predictable results. But Watson’s cognitive abilities go above and beyond to make it much easier for even the non-technical user to visualize and analyze data very quickly.
Overall, IBM Watson Analytics is a very powerful cloud-based service to simplify data analysis, multiple data sources accessible advanced analytics, self-service dashboards, and much more.
Learn more about the tools that organizations are using to conquer Big Data in this white paper Better Data Through BI.