Problem: How to improve teamwork

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sadiksojib35
Posts: 89
Joined: Tue Jan 07, 2025 4:39 am

Problem: How to improve teamwork

Post by sadiksojib35 »

Digitalization is not always perceived by employees as something useful or self-evident. Some will ask questions about why all this is necessary, and some will be afraid that they will now be replaced by robots. The result is ignoring the rules or even sabotage, which puts any project in a dead end.

Solution: Share up-to-date information
First of all, convince that a new tool is not a waste nepal telegram database of money and certainly not a competitor for a job, but an opportunity to make work more interesting and efficient.

At the manager level, it will allow you to make informed decisions faster; at the employee level, it will allow you to get rid of routine work and switch to creative tasks.

Involving the team in project support is a critical point. Many companies ignore it. But teamwork is the key to successful implementation of any digital projects, including BI analytics. The more people in the team are involved in supporting and developing the system, the more interesting and profound it becomes, and its efficiency increases.



Results
For a BI system to work effectively, it is important to fill it with consistent data. This means that it is necessary to carry out difficult work to set up the process of loading data into IT systems from which analytics can take this data.

In practice, this process is often fraught with difficulties:

it is difficult to determine the correct data set;
data may be missing;
entering information into IT systems is a long, complex and resource-intensive process;
information needs to be standardized, and this requires involving employees who are not always motivated to do additional work.
But at every stage of setup, there are tools and approaches that can simplify this difficult process:

the right questions will help you see what data is missing to build quality dashboards;
Finding data sources and setting up IT systems will help fill in the data gaps;
RPA robots, sensors and integration of the company's IT systems into a single digital circuit will simplify the data entry process;
General rules and working with a team will allow you to bring data to a single standard and support the BI system implementation project throughout its entire development path.
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