Top 3 Business Intelligence Trends For 2019

Data is going to be the future for almost every business, it’s like new fuel or gold. This new commodity can help business to learn their potential customers’ behavior and other activities to decide his next move so that they accelerate data-driven decisions.

We are already seeing AI, ML and other approaches in various successful organizations to enhance their approach to business intelligence. So what will be the next trend, let’s find out…

Machine Learning To Enhance The Analyst

Artificial intelligence can manage numerous tasks, on the other hand, machine learning is growing rapidly to become a valuable supplement for the analysts. It provides assistance and improves efficiency by analyzing business implications and intensive tasks.

It also helps the analyst to be in flow and pf their data and plan the next step.

The analyst can dig deeper without stopping to crunch numbers. Concerns could be over being replaced but at the same time, it will enhance the overall productivity of the analysts to create a more precise and impactful business.

Natural Language Processing (NLP)

Future would offer you a different tech life. As we are currently interacting with our smart devices to perform searches over our queries. According to Gartner by 2020, 50% of the analytical queries will be done via search. Natural language processing (NLP) or voice enable users to ask more questions, including the nascence one. Still to receive answers that lead to better insights and decisions.

Developers and engineers will be able to make better strides in exploring how people are using the voice search (NLP) and asking questions.

Multi-Cloud Rages

Gartner predicted, 70 percent of enterprises will choose multi-cloud as their common strategy by 2019. As the business will grow, they would choose multi-cloud to determine who provides the best performance and support for the solution.

However, the multi-cloud strategy will not only bring flexibility as well as it will increase the overhead cost by splitting workloads across providers. At the same, it will help developers to learn about different cloud platforms.

These are the top three trends, and soon we will come back next set of trends.