In a data-driven world, it’s no secret that data is the key to the future of the business. According to Gartner, by 2022, 90% of corporate strategies will explicitly mention Information as a critical enterprise asset and Analytics as an essential competency. To adapt and lead, you must be prepared to proactively examine how to leverage these trends to accelerate their capabilities to anticipate, shift and respond. In this article, we’ll go through the applications of AI in data analytics and how it’ll help your business.

Getting the right insights from all collected data can vastly improve the performance of your business. Until recently this was often handled manually and the results were set for the benefit of the future.

Harnessing the data is not an easy task. A typical business or an organization will have several data sources such as sales records, purchase orders, customer data, etc. The challenge is consolidating this data and bringing it together, the process known as data ingestion.

Related article on Data Ingestion 

By introducing an AI into the analytics process, it can cut down the processing time and increase the efficiency of the process. Since an AI can uncover hidden patterns within the unstructured data set it helps a business acquire insights they may have overlooked previously.

Advantages of Data Analytics 

Predictive analysis

Data analytics with AI can be used to get better predictions on data.  Previoulsy, data analytics was based on historical analysis, a linear prediction method. This means it bases the future predictions on the data obtained previously. However, AI and machine learning have opened up new predictive avenues on an exponential scale. Machine learning algorithms can now learn how to make decisions or actions based on insights from the past. By starting with process and data mapping, we can eventually make our way to predictive analytics and gradually transition into prescriptive analytics.

Anomaly detection 

AI can reduce errors too. Forbes explains that AI can prevent some common human errors in insights. These errors can cost the business and having an AI to detect breaks in patterns or detect anomalies can help bring in higher efficiency and thus higher revenue.

But some of the best benefits using of AI are:

• Cost-effectiveness: With the AI consuming less time and less manpower to carry out the job, It cuts down on the cost of production.
• Quicker decision making: An AI takes considerably less amount of time to analyze the data, hence the decisions based on it are quickly made too.
• Accuracy: The AI can work accurately with any data set and can also aid anomaly detection.
• New Opportunities: New insights from the given data can present new ideas and opportunities for the growth of the business.

Ultimately AI is an invaluable tool in your arsenal when it comes to powering the process of data analytics. However, it’s up to you how effectively you choose to use it, and what decisions you make to transform the future landscape of your business.