Business Intelligence’s newest tools were unavoidable factors for SMEs in 2015, and this trend will also continue in 2016. Those who cannot adopt new methods will be at a competitive disadvantage. Here are 9 prognosis for 2016 concerning Business Intelligence.
- Self-Service BI becomes more popular
Self-Service BI applications are essential tools for decision-makers and analysts, because by using them visualization and big data analysis is easy and simple. These applications will mature and spread to the masses, so it won’t be the privilege of database experts. More information about Self-Service Business Intelligence tools>>
- More Advanced & Customizable Visualizations
A picture is worth a thousand words, endless text analyses have expired. Easy and fast processable information is needed not just for decision-makers, but also for every customer as well. A user-friendly infographic, graph or diagram has to be an integral part of the analysis, and that requires a mobile and tablet compatible application.,
- The Rise of the Screens
As we have already pointed out, BI solutions are not effective if the user cannot consume the analysis across a multiplatform spectrum. BI and visualization solutions that don’t support users moving from device to device, often and at speed, will not deliver the kinds of experience people need. Better informational clarity means everyone is using the same information, and thus more efficient, accurate and timely decisions will be made.
- Application Land
Nowadays for every problem there are at least a few apps and this tendency won’t change in 2016. Companies will move towards an even broader use of SaaS [software-as-a-service] apps to complement or replace enterprise applications and, as mobile apps continue to multiply, the need for APIs and cloud connectivity will grow, with an increased emphasis on better developer tools and productivity. So today is the day to ask yourself; Which kind of application would be useful for your customers, and which could increase the quality of service and engage those users?
- The Fifth Element: Data
Although the data isn’t as essential an element as the water, but it will become more akin to it; it is everywhere and essential for businesses to live, grow, and thrive. In 2016, we will see the onset of ‘wars’ over access and usage rights to data, and monopolistic behavior from several companies seeking to restrict the ability of consumers and businesses to manage its free flow. Free flow of data and information is a utopian pipe-dream for now.
- IoT and Real-Time Data Science
The Internet of Things [IoT] will create new opportunities for data visualization and real-time analysis. BI tools capable of delivering data from connected devices will thrive, and advanced analytics will not just be for data scientists anymore. Prognosis is there will be more accuracy, because these tools are learning continuously from the prior data. Furthermore, Self-Service BI apps will visualize and make the information derived from this data easy to understand.
- Affordable BI for SMEs
Big Data analytics will play a pivotal role in the way various departments in an enterprise do business, particularly sales and marketing. More and more companies will invest in this area. This tendency has caught the eye of IT industry players, so some of them provide affordable BI tools with monthly, user-based pricing.
- Mobile Analytics are also crucial
Mobiles are not just for playing Angry Birds and Fruit Ninja, these devices have become the primary content consumption platform. That’s why it is crucial to optimize content for mobile platforms and turn working with data out in the real world from being a chore to a dynamic part of the analytics process.
- Analytics on Hadoop Will Become Reality
2016 will be the year of big SQL when even the largest data sets can be analyzed using SQL-based technology. In 2015 the talk was of Hadoop’s cheap storage and infinite scalability, while analytics remained in the realm of SQL-based systems. In 2016, the face of analytics will change as companies finally have it all and can leverage Hadoop’s unparalleled power to run analytics directly in cluster thanks to the speed and flexibility of new SQL query engines like Spark and Presto.
These were our predictions about Business Intelligence trends, please share your opinion about the future of BI in the comment section!