In this process, we will simply your data analytics course and how to look at each topic separately for better understanding. But first let’s define data analytics.
Data analytics is a highly specialized skill mastered by a set of analysts who rely on a series of procedures to gather, compile, interpret, manage and process, analyze and these days, recycle data. The final purpose of any data analytics is to help business owners make accurate decisions based on various levels of intelligence and forecasting trends.
A Quick Snapshot of 5-step Data Analytics
Gartner defines ‘data analytics’ as a sub-set of Business Intelligence that can be applied to a variety of operations, wherever data is involved. For example, in website analytics, Sales and Marketing, Weather Forecasting, and even in Supply chain.
Depending on the department where data is applied to, analytics for business intelligence can vary for each operation. But, a majority of data analytics cycle would involve these basic steps.
Popularly combined together as Metadata and data modeling, the first step of analytics involves a set of sophisticated tools and skills for creation and documentation of models that describe how data relate to each other and the latent trends and mappings influencing the final outcome of the decision-making workflow.
Strategically speaking, you will be working with ER/Studio, IBM InfoSphere Data Architect and Oracle SQL Developer data modeler in this step to map and reconcile physical data analytics models to their logical flow.
Depending on what type of data you collect and appreciate, you can understand that data analytics results can vastly vary for each application.
Data Attribution and Processing
The second step in data analytics process involves accurately attributing and measuring the quality of data needed to answer certain specific BI-related questions.
In marketing and sales, these questions could be – Why are our sales not growing? Do we need to hire more sales people to grow sales? What products or services are doing the most business versus the ones that are witnessing drop in sales?
In media and entertainment, these BI –related questions could be: “Which set of audience are viewing our advertisements the most? Which channels are best suited to our messaging?
As soon as you finalize the data ecosystem and assign the qualitative and quantitative value of the channels likely to source the maximum volume of data, the processing begins.
In Data Analytics course Malaysia, you are more likely to learn various data measurement techniques such as ‘Online versus Offline tactic’, audience versus customer data, TV versus Website analytics, and so on.
In advanced courses of data analytics Malaysia, trainees get hands-on experience in aligning data measurement with automated techniques built on Big Data, AI and ML logic.