Three New Trends in Business Intelligence


Business Intelligence, a powerful and useful concept, is constantly changing, just like the data it analyzes.
You can make or break your next move with new technologies, cloud data, and even hours spent working with data. Effective business intelligence training can help improve decision making at all levels of your organization and improve the strategic management process. Cloud Analytics, New Technologies and Data Visualization are the top three trends in Business Intelligence.
1. Cloud Analytics
People began to embrace the cloud in 2015 They discovered that cloud data storage is simple and highly scalable. Cloud analytics also allowed them to be more agile. Due to the tools that allow them to consume web data, more people will move to the cloud in 2016. Early adopters are already benefiting from this data, and others are beginning to realize the importance of it. Cloud analytics will be used by more companies to analyze more data more quickly. They will rely on it as any other critical enterprise system.
2. New Technologies
There are many new technologies in the BI industry. We’ll see the gaps as these technologies go to market. New companies will be able to do this. Hadoop accelerators and NoSQL data integration are all options for new companies. We will see the rise in gap fillers in 2016, which will lead to market consolidation. Organizations will continue to move away from single solutions, and embrace a flexible and open stack that includes these technologies.
3. Data Visualization as a Norm
Data visualization software allows data analysts and business users create charts, graphics, and presentations that provide insightful information about business performance and potential opportunities. Data storytelling is a new practice that uses visualization tools to translate analytics results into a format that can be understood by corporate executives and other decision-makers. You need to be careful when creating a story using data visualizations. This is especially true if you’ve been involved in analysis work for so many years that you are unable to see the meaning of the content. You can ensure you are communicating the right message to the right audience by asking questions about the goals of the data story and how it will be distributed within your organization. Effective organization and graphical consistency are essential in order to avoid over-decorating data visualizations.