This year has brought artificial intelligence to the attention of business leaders from both huge companies, as well as, start-ups. It has introduced self-driving cars, image recognition softwares and virtual assistants. These AI-related technologies have affected everybody’s daily life and the operation processes of each of the businesses.

Source: AI Business

However, these companies have to incorporate analytics in their systems first before jumping into the AI bandwagon. Check out the areas where analytics can actually help in successfully integrating AI within their processes:

  1. Both analytics and AI are both fueled by data.

AI won’t fix your operational system if you’re not gathering the proper data or if you don’t have faith in the quality of the data collected. Your analytics system will depend on complete, precise data, and so will AI technology. As time passes, you may be able to utilize AI to enhance the quality of data, but it won’t make up for the unreliable and generally corrupt data.

  1. Both analytics and AI rely on mostly the same processes.

Think about it this way, data privacy is quite critical to the consumers, specifically when businesses gather more data about them. Without proper data privacy practice in place, along with a reliable analytics program, artificial intelligence technology could potentially use the information gathered in ways that might harm brand perception and goodwill.

Source: Meet Sally

Before you push through with AI technology in your business system, analyze how much you’ve developed your analytics abilities. As much as you want to just skip analytics, it is equally as important as AI, especially to data-driven companies. Without proper data maturity or analytics, you will be delaying your business’ capability to benefit from evolving AI technologies.

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