Data: When Less is More
Aviation, automobile and even train companies spend significant amounts of money annually reducing the weight of their products. Take the aviation industry, for example, millions of pounds are invested each year into R&D to reduce the weight of their plane’s components and structures while maintaining the relevant strength properties and functionality. The plane thus becomes more fuel efficient, it can carry more passengers and ultimately generates more profit.
The same principles apply to the data in your business’ CRM and ERP systems. When such systems are burdened with unnecessary weight (duplicates and other low-quality baggage), they will not work as efficiently, effectively or as expected. It is therefore essential that the unnecessary weight that bad data applies to your business is eradicated. The removal of bad data can lead to significant advantages to your business such as:
1. More Trust in your Business Intelligence
Important business decisions are often based on data received from all parts of the business. Low-quality data results in low-quality information leading to low-quality decisions being made with high levels of certainty.
It is far more beneficial to have a smaller amount of data that you can trust than masses of unreliable data.
2. More Effective Marketing
You will get a more accurate and targeted ...
Read More on Datafloq
The same principles apply to the data in your business’ CRM and ERP systems. When such systems are burdened with unnecessary weight (duplicates and other low-quality baggage), they will not work as efficiently, effectively or as expected. It is therefore essential that the unnecessary weight that bad data applies to your business is eradicated. The removal of bad data can lead to significant advantages to your business such as:
1. More Trust in your Business Intelligence
Important business decisions are often based on data received from all parts of the business. Low-quality data results in low-quality information leading to low-quality decisions being made with high levels of certainty.
It is far more beneficial to have a smaller amount of data that you can trust than masses of unreliable data.
2. More Effective Marketing
You will get a more accurate and targeted ...
Read More on Datafloq
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