Data Analysis & BI

Why is data analysis important?

Organizations are increasingly in need of information, they need data.

A practical example is the process of identifying the target for advertising campaigns.

The dynamism of digital advertising requires:

• Constantly improve customer targeting: resources, economic and otherwise, must be directed to advertising campaigns on demographic and interest groups that have consistent attention to the goods and services that are offered. Data analytics helps you see where to focus your advertising efforts.
• Know your target customers better: Data analytics tracks product and campaign performance within the target demographic. Through data analysis, every business can get a better idea of ​​the spending habits, disposable income and most likely areas of interest of its target audience. The data collected and processed can also help companies set prices, determine the duration of advertising campaigns etc.

Specific contexts of the single company, industrial or service company, in addition to commercial performance, can associate the advantages of Data Driven models with efficiency on operating costs (quality of information governing industry 4.0 processes for example) or, for example, process efficiency and the financial pipeline (products and sales channels that best withstand working capital or consumer credit charges, for example).

Collection of data along the processes, and therefore analytical measurement of business operations and activities, are an increasingly fascinating area where mathematical models push the decision-maker beyond new frontiers of exploration and simulation, giving an innovative space to all potential entrepreneurial creativity.

In this Key-One with its customers he wants to express the full potential of the pleasant combination of creativity and technology.