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How AI is Redefining Business Intelligence


Artificial Intelligence is evidently taking over the corporate sector, making businesses more dynamic, customized and personalized to cater to a more interactive user base and audience.

In this dynamic corporate environment, data is also taking centerstage. Businesses are increasingly dependent on data to enhance their customer engagement. Together, data and Artificial Intelligence are gradually becoming a key factor in shaping a successful business process. AI is also becoming an important player in Business Intelligence.

The rapid rise of Artificial Intelligence now allows companies to gain deeper insights into user behaviour and user engagement patterns, through the analysis of advanced algorithms.

The Evolution of Business Intelligence

Actionable insights and real-time data reporting are fast becoming the norm in the field of Business Intelligence.

The introduction of new big data sources such as smartphones, tablets, and other connected devices makes today’s audience increasingly mobile-first. This trend has made static reporting by Business Intelligence software systems obsolete.

Proactive analytics enables businesses to realise the full potential of their operational data when it is actionable. In today’s fast-paced corporate sector, real-time results can boost business success.

Over the years, BI software has evolved into three essential areas:
Predictive vs Prescriptive vs Descriptive Analytics

    • Descriptive analytics – Descriptive analytics is the most basic Business Intelligence system. It offers a summary of data and informs business analysts of what happened. Here, the focus is on analysing past behaviours to learn how it can have an influence on future outcomes.
    • Predictive analytics – Predictive analytics offer businesses a glimpse into future insights. It is understood that no algorithm can guarantee completely reliable predictions. However, companies are harnessing the power of predictive analytics to forecast future events. This allows the businesses to gauge the potential for success. Predictive analytics is largely based on a ‘best guesses philosophy’ and probabilities.
    • Prescriptive analytics – Prescriptive analytics is emerging, though robust field that allows users to suggest possible actions and advise on workable solutions that can be implemented. This branch of AI-powered analytics predicts events and also explains why such events may occur.

Enhanced decision-making capabilities are a critical requirement for businesses on the path to success. Artificial Intelligence-backed Business Intelligence solutions will allow businesses to make the critical business decision much quicker. This effectively improves the turn-around-time (TAT) for business processes and projects.

AI Is Evolving Rapidly In The Corporate Sector

AI has quickly evolved to become a technology that modern businesses must have in their repertoire. With smarter and highly customised customer experiences being the driving force behind the success of businesses, AI is helping companies improve the efficiency of various business processes.
AI is Evolving Rapidly in Corporate
Let’s look at how Artificial Intelligence is creating a revolution in today’s business environment.

    • AI is transforming various industries. AI is transforming strictly regulated industries such as financial services, healthcare, life sciences and trading. In medicine, AI is taking on the roles of clinical assistants, helping physicians make quicker and more reliable diagnoses. AI also helps to expedite the creation and discovery of new medication.
    • AI is enabling better decision-making. Artificial intelligence clearly has a big impact on all aspects of modern businesses. Prior to the advent of AI, businesses were dependent on inconsistent data. AI has been a game changer in the corporate world. The futuristic technology ingests big data, analyses it and deconstructs it to provide actionable insights that help executives in the decision-making processes. In marketing, a marketing manager should be able to understand their dynamic customer needs and strive to offer products and services to cater to these needs. Artificial Intelligence and predictive modelling techniques provide reliable insights into buyer behaviour. Therefore, these methods are ideal for predicting consumer behavior.
    • AI allows automation of business processes. AI essentially enables businesses to automate decisions or process based on analytics. As organizations continue to generate large amounts of data, the analytical capabilities of Artificial Intelligence will help enhance decision-making and profitability.

The Need For AI-Powered BI Systems

Business Intelligence systems built-in with AI technology can transform your business data into simple, accurate, real-time reports. Here’s why AI should be at the heart of Business Intelligence.

    • Dashboards are not enough. When you have a constant influx of data coming into your BI system from different sources, that is where BI tools that have built-in AI capabilities can prove useful. Business Intelligence tools that are AI-ready can digest the huge amounts of data and deliver customized insights.
    • Avoid a big data overload. An unprecedented overload of Big Data can easily derail the operations of a business. However, by investing in AI-enabled Business Intelligence software, companies can break down data to gain actionable insights.
    • Get insights in real time. As a result of the rapid advances in Artificial Intelligence, Business Intelligence tools now are well equipped to offer powerful dashboards that give marketers the alerts and business insights they require to make critical decisions.

Artificial Intelligence-enabled software has brought about enormous changes in the corporate world. It is important that businesses realize that embracing AI-based Business Intelligence tools will ensure their success and keep them ahead in a competitive technology-powered business landscape.

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