Organizations, whether they are big or small, are always on the lookout for ways to grow and improve their business. In this digital era, data is one of the best ways to optimize production processes, marketing efforts, and even decision-making in business.

To reap the most benefit out of data, businesses have to hire an expert. However, with technological advancements, businesses can also choose to automate their data analytics using Artificial Intelligence and Machine Learning.

Before we can compare the benefits of using a data analyst and machine learning, first let’s take a look at their definitions.


What Is Data Analyst?

data analyst

Data analysts help businesses make better data-driven decisions by working with data. They combine mathematics, statistics, and computer programming to draw conclusions from data to describe, predict, and improve business performance.


What Is Machine Learning?

machine learning

Machine learning is a subset of Artificial Intelligence. It provides machines with the ability to learn and improve through past experiences without having to program them a certain way. A machine learning algorithm will learn from data automatically and apply its learnings without the need for human intervention.


Machine Learning

The main difference between a data analyst and machine learning lies in how they make use of data. A data analyst will focus on using past data to uncover patterns and valuable insights. On the other hand, Artificial Intelligence machine learning focuses on creating training algorithms through data so that it can function independently.

AI Machine Learning will analyze data, make assumptions, learn, and provide data-driven predictions at a scale and depth of detail that is impossible for a human data analyst to conduct. However, human data analysts are able to put those insights into context, taking into account the current situation and issues that machine learning might not be able to do. In short, AI works much better at closed analysis while data analysts provide a broader contextual understanding and application.

When it comes to data, it is crucial that businesses understand the benefits and limitations of every tool. Both human data analysts and AI machine learning have their own advantages. Instead of choosing one, businesses can always combine the two and create a truly data-driven business.

Whether you are looking for a data analyst or apply an AI machine learning system, it is still important to have a data analytics tool that can help you collect and analyze reports easily — like SYCARDA.

SYCARDA is a light data analytics software that allows you to automatically collect sales receipt data and turn it into various reports. Business owners can then gain access to real-time analytics on store performance, consumer behavior, and other important variables by accessing SYCARDA’s user-friendly web portal.

Book a consultation with SYCARDA today.



How can businesses benefit from both data analysts and machine learning?

Combining the insights and context provided by data analysts with the deep analysis and predictions of machine learning can lead to more informed and strategic business decisions.

What are the key strengths of data analysts?

Data analysts excel at uncovering patterns and insights from past data and providing a broader contextual understanding, considering various factors that machine learning might miss.

How can SYCARDA support businesses in data analytics?

SYCARDA automates data collection and analysis, providing real-time insights into store performance and consumer behavior. Schedule a consultation to learn more about SYCARDA’s benefits.