Customer segmentation is a methodology under customer analytics used to group customers or products with similar characteristics into meaningful segments. The process allows companies to target customers better and serve them in a more fitting manner. ...
Data lineage: Studying the life cycle of data
Like animals and plants, data too has a life cycle. It goes through various changes from its inception to its destination. When dealing data maturity – that helps maintain high standard data quality – it is necessary for organizations to understand the li ...
How organizations can prevent data security breach?
Antonio Neri, the CEO of Hewlett Packard Enterprise, had said in 2019 that "Data is the new currency". Neri had seen how companies were evolving with data. This digital transformation is still underway and likely to continue. With data being equivalent to ...
Why should you use a data management system?
Data management is the practice of collecting, storing and using data effectively and securely so that data can drive the decision-making process. Effective data management is crucial to companies that want to develop a data culture. It is a component of ...
Why do you need a Single Source of Truth?
More than a decade ago, companies were focused on accumulating data. Collecting data was important as there was not enough to make informed decisions. Now, there is an overwhelming amount of data. But, companies are still not able to make data-driven deci ...
Why is Data Governance important?
Data is in abundance and everywhere. But, this does not mean that owning/sharing a large amount of data guarantees success for organizations that wish to drive impact by using data. It is absolutely necessary for companies to have a structure in place to ...
Data Science Process: Why you should ask the real...
Driving a car without knowing the direction does not make any sense. We will not reach where we want to go. We need to have the right information about the trip so that the journey can be planned accordingly. Imagine running out of gas just because you di ...
Data Science Process: Why should you use BADIR?
Analysts and data scientists can face many hurdles in their work, especially when starting a new project. One such problem is working with such a large amount of data that you lose track of the goal. This happens with data scientists/analysts a lot. And i ...