Denave, Team, Designation
Business Intelligence, a tactic for enterprise decision-making tool, has been around for more than two decades now. It started as a tool for querying and reporting, then online analytical processing and later for data visualization.
Gradually, it has moved from just visualization to data analysis, descriptive inferences to the self-service analytics tool. Eventually, visual data discovery and business analytics solutions continue to evolve.
Predominantly, it’s imperative that business users need to directly use so that is always a push to make the solutions easier to practice.
Artificial Intelligence, here, plays an important role in identifying the right data from a massive pool of repository and discovering relevant insights faster to the business stakeholders. We will move to AI enabled smart analytics which will augment human decision making.
In fact, smart capabilities like NLP and machine learning algorithms will further empower BI and analytics in the future. It will cover areas like data preparation, discovery, analysis, predictions and prescriptions.
Also, Artificial Intelligence will restructure data into easy-to-understand insights at a scale, with features comprising natural language processing (NLP) search, recommended insights and automated narratives.
Let’s have a quick look at how AI will further simplify and make the processes smarter:
All in all, we will see AI augmented smart analytics aiding and enhancing existing BI Analytics ecosystem.
It will further simplify the user experience to the extent that whenever a user will ask a question that will be converted to text and interact with back-end systems using NLP search, which will then collect data in real time from multiple systems, apply right model using Machine Learning algorithms and update the user with the best possible answer using visualization, insights and automated recommendations.
And if accepted, these can be further integrated back to transaction systems that make a required impact to the business. Basically, decision making will become smarter, faster and impactful and this will be achieved with little to no human intervention.
Having said that, surely there will be solutions to overcome them and AI lead BI Analytics will disrupt the decision making in the future.
This article was originally published here.
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