All businesses have big data.
Data that is crucially important: A list of employees, when they started and when they left, job specs, lists of customers, details of sales, products, expenses, emails, compliments and complaints, list of suppliers and products.
Big data is usually reported on formally each year with audited financials, sustainability reports, HR reports. Some reporting is done monthly, for example management accounts. Exco meetings look at management reports and board meetings analyse board packs.
These meetings miss out on a lot of analysis. Why not cross check diesel expenses to new drivers? Mileage travelled to truck loads. Staff turnover to new customers.
There may or may not be a correlation.
Correlation does not imply causation, BUT there might be correlations and causations that you missed. You data is not always analysed, sliced and diced in a way to easily and quickly identify trends.
Even if it is, waiting a whole month or a year might be too long.
This is where AI comes in. It can quickly and accurately identify trends and correlations. You don’t have to wait for month-end or year-end. You don’t have to use the standard and frankly quite boring reports and Excel graphs. Once the AI model has access to your company’s big data, you can ask it almost anything.
No matter how big the big data is, AI can analyse it.
Yes, you’ll pay for a couple of tokens, but you will get the analysis where and when you need it. Imagine, you, the CEO looking at an empty screen and speaking:
“Give me a graph of sales over the past 6 months compared to staff turnover”
“No, let try that over 12 months.”
“Why are sales down?”
“Which regions?”
“Compare profits to diesel prices”
“Customer support queries and Google reviews”
“Performance of our solar roof.”
“Costs of tire damage, by driver, by region.”
“Identify sales trends”
“Has our VOIP system saved money”
“Any complaints about our VOIP system”
Imagine getting the answers instantly on your screen, tablet, phone even via WhatsApp.
There’s the famous story about the 2nd World War: Planes coming back damaged, so engineers reinforced the areas where they were damaged, until someone pointed out that that was not the area to concentrate on. They needed to reinforce where there was no damage because the planes that were damaged in those places never came back.
Would AI have picked up on this? Potentially YES, but only if the relevant data existed and the question was framed appropriately.
Will it help you, the CEO, pick up issues as they happen and before they become a problem?
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