It's no secret that the key to unlocking valuable business insights lies in data. Businesses make better decisions and generate more revenue when they understand their data. The biggest corporations out there, from Walmart and Amazon to Netflix and McDonalds, use it to drive their business planning and decision-making processes.
And you've probably encountered how these corporations use analytics in their businesses before. Just think of Netflix who, based on your previous viewing history, gives you artificial intelligence-powered recommendations. Likewise, Walmart uses predictive models to anticipate demand during certain hours of certain days, allowing them to place the correct number of associates and improve their in-store experience.
But here's the thing, to unlock the value of the data and use it for your gain, you need data scientists and software engineers that can wrangle insights from the data.
The problem is that businesses often don't have the resources to employ data scientists or software engineers to unlock this value. Even freelance data scientists and software engineers come at a steep price. So, especially for small businesses where cash flow is at a premium and costs should be controlled, this is an issue.
Fortunately, ease of use is where no code data analytics shines. It effectively eliminates the high barriers to entry to data science, democratizes it, and gives businesses the key to unlock value from their data.
But what exactly is no code data analytics, and what are the benefits of using it? With this post, we’ll look at this question in more detail and show you why it might be a perfect option for your business to consider data analytics without code.
As the name suggests, no code data analytics is a way of data analysis and gaining insights from data without writing a single line of code. Unlike traditional forms of data analytics where data must be cleaned and algorithms must be written and then applied to the problem, no code data analytics eliminates complexity. With no-code, anyone, regardless of technical experience, can extract value from their data.
With no code data analytics, you simply give the platform data and it gives you back the patterns. The new generation of machine learning and artificial intelligence no-code platforms create predictive models to help forecast your revenue and plan your business. You can use your historical business data to train a model that can, in turn, predict forward-looking metrics like revenue, churn, or costs. KPI’s are just one of many use cases where you can use no-code AI platforms to deliver impactful value.
The most exciting part is that you don't need engineering skills to take advantage of data analytics without code. Compared to traditional data analytics, you don't need data science teams or teams of data engineers, a variety of code tools, and massive amounts of money to improve your business processes and increase your revenue. All you need is your historical data, subject matter knowledge, and the ability to act on insights.
When you adopt a no-code data analytics platform, your business will likely benefit in some concrete ways.
Hopefully, this post explained in some detail what no-code data analytics is and what it can mean for your business. It gives you the ability to do something that was previously only reserved for multimillion-dollar corporations. In simple terms, it supercharges your data analytics.
If you want to know more about no-code data analytics or our no-code AI platform, visit our website or contact us for more information.
The Akkio platform is a complete end-to-end, no-code AI solution. You can build, deploy, and integrate AI models, all in one place, without technical expertise. With this ability, you’ll be able to get insights faster, make decisions quicker, and generate more revenue.