Data is not just about perfection. It necessitates a well-defined and dependable source
Data quality is not a predetermined success blanket. Because the quality of data is one part of the many delicacies for achieving the business goal. It is the outcome of the symmetry, whether it disagrees or diversifies. Data must produce two premises: to support the business demands and scales up the value and insight it delivers.
Remember this famous quote by Benjamin Franklin, “By failing to prepare, you are preparing to fail.” What does this quote signify to us as marketers? Which means our marketing plans are only as good as the quality of our company and contact data.
A logical question must fall into the right place when eyeing for the right data? There are a massive amount of data available on the internet, however finding the useful and reliable data is obscure. Data itself would not move the needle - even a single grain. Data must speak for itself.
There are few types of data we can consider such as good data, irrelevant data, complex data, outdated data and uninsightful data. We can't just pick up any data just for the purpose of gathering and filling-up what is missing and need retouching. Without a doubt, there's a price to pay especially for a bad data and data that cost less effective.
If unresolved taxes put someone in jeopardy without paying it on time, the struggle for data mitigation and outcry for squeaky clean comes as an austerity yet not an easy task to square off however one can perceive it as a dilemma to fathom.
Let me say this - data quality is not a predetermined success blanket. Because the quality of data is one part of the many delicacies for achieving the business goal. It is the outcome of the symmetry, whether it disagrees or diversifies. Data must produce two premises: to support the business demands and scales up the value and insight it delivers.
The most intriguing part of data preparation is how it was sourced and aggregated. Not only it indicates a corporate tech know how but the implementation of logical methodologies give a sense of how credible it was sourced. Without such, it would be viewed as regretful since the absence of reliable data source references growth and desirable results.
Consider a data provider that don't just provide data for maintenance and record keeping but help scales up and fine-tune your sales and marketing strategy.
One that advances and uses the technology installed products used by the company and the people you want to speak with. With product installed base intelligence, you can shape effective sales and marketing programs to grow your market share. Furthermore, technology usage insights MUST be available to the company, contact, and location levels, so you can target as broad or deep as you’d like.
There is no chance of failing in your endeavor. Data is not just about perfection. It necessitates a well-defined and dependable source, one that supports the business demands and scales up the value and insight it delivers.
I will end this writing with another quote. There are three kinds of people in the world.
"One who makes things happen, the second who watch things happen, and finally the third category belong to those who wonder what happened."
It is up to you to decide which category you wish to belong. When it comes to finding and evaluating data requirements, it isn't just about making the right decision. It is about making use of what is available so that you would be informed and educated.
This advice appeals to every field in life. The main objective of having a good data is to improve the bottom line of the business. Being aware of this objective is the basic requirement. Therefore knowing your priorities is very important. However, taking action is the intelligence.