Data analytics vs business analytics – useful 8 comparisons to know gas unlimited

The main question in today’s world whether to pursue data analytics course or business analytics? What is the Differences between Data Analytics and Business Analytics? This article will cover all the questions that haunt people before going for any of this Data Analytics vs Business Analytics courses.

Data Analytics is more technical centric than the other in terms of technical skill set as a data analyst would be doing hands-on data cleaning, data purging, finding correlations etc. A data analyst would love to dirty his hands on any of the latest tools out there and test his/her data on the tool and see what insights he/she can draw from it.

Business analytics, on the other hand, is kind of more process-oriented / functional role where a business analyst would be looking into the day to day operations of the company. A CEO/CMO won’t understand what correlation is or what variables are really having a weightage on the transform function, hence business analyst. A business analyst should be able to interpret the data analyst terminologies and transom them to be presentable to their respective heads. A business analyst would also look into optimizing and would also be the one to call the shorts for upgrading/optimizing any models in the company/campaign.

“Analysis of data is a process of inspecting, cleaning, transforming, and modeling data with the goal of discovering useful information , suggesting conclusions, and supporting decision making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, in a different business, science, and social science domains.”

Business analysis is used to identify and articulate the need for change in how organizations work, and to facilitate that change. As business analysts, we identify and define the solutions that will maximize the value delivered by an organization to its stakeholders. Business analysts work across all levels of an organization and may be involved in everything from defining strategy, to creating the enterprise architecture, to taking a leadership role by defining the goals and requirements for programs and projects or supporting continuous improvement in its technology and processes. ” Head to Head Comparisons Between Data Analytics vs Business Analytics

• The business analyst goes through all the requirements by scoping and de-scoping the requirements and then assign the tasks to the developers to develop the code whereas a data analyst would be preparing dashboards charts or various visualizations which would help the higher management to take calls on what should be done next.

• The business analyst would research and try to gain valuable insights from the data, finding the optimal model for the business also lies with the business analyst whereas a data analyst would concentrate on developing new algorithms or to optimize the already developed algorithms.

1. We have a study where a telecom company needs to segregate their customers in order find the unwanted customers or let’s just say the churn rate. A business analyst would ask the developers to build models by giving them all the data they require and then try to evaluate which model describes the best.

2.Whereas a data analyst would be taking care of cleaning the data, transforming the data so that it could fit good enough for the model, tweaking the model for better results, building visual outputs so as to make the model easily understandable. Data Analytics vs Business Analytics Comparison Table