Data / Business Analytics

Data / Business Analytics is the process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making.

Data Analysis process

Data analysis, is a process for obtaining raw data, and subsequently converting it into information useful for decision-making by users.

Data collection

The data is necessary as inputs to the analysis, which is specified based upon the requirements of those directing the analytics (or customers, who will use the finished product of the analysis). Data is collected globally.

Modeling

Mathematical formulas or models (also known as algorithms), may be applied to the data in order to identify relationships among the variables; for example, using correlation or causation.

Data processing

Once processed and organized, the data may be incomplete, contain duplicates, or contain errors. The need for data cleaning will arise from problems in the way that the datum are entered and stored.

Data product

A data product is a computer application that takes data inputs and generates outputs, feeding them back into the environment. It may be based on a model or algorithm.

Why you need Data Analysis

Most departments in organizations use data analytics to examine present situations and predict future scenarios. The results of these actions can bring many benefits and advantages to an organization.

Less operation cost

With good data analysis, you can prevent financial risk, ensure data security, and perform other actions that might save you a fortune.

Monitor product performance

You can use it to identify why sales are low, what products people buy, why they are buying them, how much they are spending on these products, how you can sell your products better, and many other queries.

Predict future trends

Using predictive analysis tools, organizations can develop future-focused products and services and stay at the top of their market.

Manage risks

Data analytics help organizations prevent and manage risks.