I still remember spending countless hours performing data analysis in Excel. But gone are those days now! Today AI has revolutionized almost every work discipline and data analysis is no exception. AI has become so advanced that what once seemed impossible is not just possible but has become a routine. Once driven by centuries-old statistical modeling techniques, AI and machine learning are now transforming the field of analytics by offering a level of speed, scale and granularity that’s humanly impossible. Today we want to shed some light on AI powered analytics and how IIBA CBDA certification will help you kickstart your journey towards data analytics.
What is AI in Data Analytics
In a very simple way, Let me break down how artificial intelligence is transforming the world of data analytics that actually would make sense to you all. By using technologies such as machine learning and natural language processing, AI boosts data analytics process by automating manual time-consuming work normally done by a data analyst. It further helps improve accuracy and efficiency that results in providing deeper insights for data analyst into patterns.
I want to stress upon one myth specifically, “AI isn’t here to take over your job as a data analyst”. Instead, think of it as providing you additional help. While you used to spend hours cleaning data and building basic reports, AI handles these tedious tasks in seconds. This frees you up to do what humans do best – using creativity and business knowledge to turn those insights into real-world solutions.
The real deal happens when human expertise meets AI capabilities. You can now analyze vast amounts of data with incredible precision, spot the tiniest trends across millions of transactions. make predictions with remarkable accuracy and speed. It’s not about replacing human analysts; it’s about making them more powerful than ever before.
What is AI in Data Analytics
In a very simple way, Let me break down how artificial intelligence is transforming the world of data analytics that actually would make sense to you all. By using technologies such as machine learning and natural language processing, AI boosts data analytics process by automating manual time-consuming work normally done by a data analyst. It further helps improve accuracy and efficiency that results in providing deeper insights for data analyst into patterns.
I want to stress upon one myth specifically, “AI isn’t here to take over your job as a data analyst”. Instead, think of it as providing you additional help. While you used to spend hours cleaning data and building basic reports, AI handles these tedious tasks in seconds. This frees you up to do what humans do best – using creativity and business knowledge to turn those insights into real-world solutions.
The real deal happens when human expertise meets AI capabilities. You can now analyze vast amounts of data with incredible precision, spot the tiniest trends across millions of transactions. make predictions with remarkable accuracy and speed. It’s not about replacing human analysts; it’s about making them more powerful than ever before.
Real Usecases
This is a great example of retail giant Walmart clubbing the two together is great to understand how other organizations can use it too.
With over 245 million customers, the organization collects over 2.5 petabytes of unstructured data every hour, which is not very easy to analyze. It integrates AI systems that can help the organization make self-governing decisions. It automatically places orders based on demand and stocks.
How AI Knowledge Enhances CBDA
IIBA CBDA will help you build the foundation for data analytics. While AI tools are becoming more powerful, the CBDA certification teaches you something invaluable – how to ask the right questions, interpret results meaningfully, and translate technical insights into business value. For instance, AI might tell you there’s a pattern in your customer data, but your CBDA knowledge helps you understand whether that pattern matters for your business and how to act on it. The certification covers essential skills like data requirements analysis, modeling techniques, and result interpretation, all of which become even more critical when working with AI systems. Moreover, CBDA certification holders are uniquely positioned to bridge the gap between AI capabilities and business needs. You’ll learn not just how to work with data, but how to make data work for your organization in an AI-enhanced world. For professionals looking to advance in data analytics, combining CBDA certification with AI knowledge creates a powerful skill set that employers increasingly value – the ability to bring human intelligence to artificial intelligence.
Artificial Intelligence + Data Analytics = Driving Organizations
It is true that Artificial Intelligence with data analytics can drive the organizations of today. As we’ve discussed, the application of AI to business analytics offers capabilities that traditional data analysts simply cannot achieve in terms of speed, scale and granularity.
Traditional analytics often involves a high degree of manual effort for various steps involved in analytics like coming up with hypotheses, pre-processing data, visualization and applying statistical techniques. As I said earlier it consumes a lot of time and effort of Data analysts to perform these tasks manually. And hence to solve this problem, we are embracing AI analytics for everything from demand forecasting, anomaly detection and business monitoring. In particular, machine learning algorithms can be used to augment your technical teams capabilities so that they can respond to business changes as soon as they occur.
Artificial intelligence can help organizations unleash the full potential of the data stored from different sources. With the knowledgeable insights derived from data, organizations can not only improve their business performance and processes but also automate a number of tasks that earlier required human interference. But do remember success lies not in replacing human analysts but in creating powerful partnerships between human insight and AI capabilities. If you want to learn more about Data Analytics, subscribe to our CBDA Course.
