case 1
Data is accumulating in businesses at an increasing rate on a day by day basis. This data generally "just there", not doing anything and not used for anything. Data Analytics takes this data and makes it useful. Through various techniques the data is analysed in different ways to understand what use it may have and how you can make better decisions in your business.
case 2
Data is lurking in all corners of your business, and in some cases it is collected and analysed, therefore it is not providing maximum value. As a result of analysing the data, insights can indicate business improvements. Data Intelligence analyses the data and looks for patterns and anomalies. This information can then be used to expand existing services and make new investments or expand a client base.
case 3
Data is accumulating in businesses at an increasing rate on a day by day basis. This data generally "just there", not doing anything and not used for anything. Data Analytics takes this data and makes it useful. Through various techniques the data is analysed in different ways to understand what use it may have and how you can make better decisions in your business.
case 4
Data is lurking in all corners of your business, and in some cases it is collected and analysed, therefore it is not providing maximum value. As a result of analysing the data, insights can indicate business improvements. Data Intelligence analyses the data and looks for patterns and anomalies. This information can then be used to expand existing services and make new investments or expand a client base.
case 5
Data is accumulating in businesses at an increasing rate on a day by day basis. This data generally "just there", not doing anything and not used for anything. Data Analytics takes this data and makes it useful. Through various techniques the data is analysed in different ways to understand what use it may have and how you can make better decisions in your business.