Data analytics has evolved beyond traditional forecasting and budgeting. It has become an active decision validation engine.

The challenges posed by the modern economic and business climate mean that companies must be ready to cope with change. Change can affect business strategy, operations, marketing, technology and more.

Data analytics is important because it helps businesses optimize their performances. Implementing it into the business model ... can use several analytical methods and techniques to process ...

Data modeling refers to the architecture that allows data analysis to use data in decision-making ... embed data into every decision and process? The answer starts with effective data modeling ...

ensuring that every initiative delivers maximum impact. One such initiative is the establishment of community-based optimization hubs, where data analytics and business process modelling are used ...

Hiring the wrong people, struggling with employee retention and failing to make a significant business impact can be a serious headache for businesses. By using big data, HR professionals can make ...

to explore community impact using data analytics. These practices are assessed from detail statistical analysis and the dataset for predictive modeling of the user community. As such, this study ...

One very important and frequently overlooked benefit for this carbon-intensive industry is the ability to use analytics for carbon footprint reduction, which has both financial and reputational ...