There is more and more data and demands, but still no results

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A common mistake: a company immediately plans to implement a huge system to analyze the maximum number of processes. As a result, you may never get to the real results of the implementation, getting bogged down in intermediate stages, organizational issues, and spending the budget on analytics that will not produce the desired effect.

Solution: Take small steps
Experience shows that it is better to start with one nepal telegram database dashboard, which will allow you to evaluate the results and see gaps in the processes as quickly as possible. After the first successful result, move on, adding analytics to other processes and scaling the implementation of the BI system.



Problem: How to work with heterogeneous data
In order for a BI system to work effectively, the data for it must be standardized — presented in the required format, in one measurement system. But in reality, information enters IT systems in a variety of forms: for example, managers can enter the same data on a client into the systems in different ways. Therefore, another important stage of the process is data standardization.

Solution: Look for a person or build a system
There are two approaches:

Assign a separate employee who will manually bring all data in the system to a single standard: check, clarify and correct. This is difficult, time-consuming and labor-intensive.
Build a system for structuring data at the collection point. This means that you need to develop rules that all employees and departments will follow. For example, strictly enter the first and last names of clients in the appropriate fields, and do not write everything in one line simply because "it's more convenient."
At this stage, technical tasks are solved in parallel with the setup of organizational processes. In order for employees to start following the rules for entering data, they need to be explained why these rules should be followed at all.