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Showing posts with label business intelligence. Show all posts
Showing posts with label business intelligence. Show all posts

Sunday, 16 January 2022

The challenges of post-deployment Business Intelligence

 


The Post-Deployment Challenges Intelligence in Business


Here's an example:
"-Whew!
"We finally finished the BI project after a lot of effort, stress, and delayed deliveries."
But hold on!
Let's see if they're truly finished.
There's one thing that's still missing: O Aceite.
Did you just get a shiver down your spine?!
Normal.


The manumission letter is the final acceptance!


Most projects begin at a party and end in blood, SE, and this SE is very large.
According to Gartner, 70 to 80 percent of BI projects fail, meaning they do not finish, do not meet the deadline, cost, or do not meet the expected requirements.
We have created a good implementation guide:


1. Preparation.

2. Project administration.

3.Strengthening of requirements

4. The project's design.

5.Building or development.

6. After-deployment (maintenance and monitoring)


When deploying, remember to:


DO NOT BE AFRAID IF YOU DO NOT MEET THE REQUIREMENTS; simply add a new phase to the project.

Keep an eye on the infrastructure: if it is slower than the current one, they will undoubtedly return to Excel.

Make certain that BI is used.

Make templates and examples, in other words, draw.
It is much easier to get started with examples and sketches.


Post-implantation: Keep in mind that good post-implantation progress is dependent on the project's well-established items BA implantation.
If the deployment was successful (good or bad), the following steps must be taken:

1. Data quality and governance strategy:


It is necessary to address the information.

There is a lot of emphasis on data quality.

Quality standards must be established.

Be wary of legacy system deployments.


2. Validation of daily data:


Set up processes for reconciliation.

Make the results of the reconciliations available to the entire user community.

There should be NO doubts about the data's integrity.

Validation should be automated.

Create validation metrics if at all possible.


3.Ascertain "Owners":


Create the concept of "Product Owner" - the owner of the product for each Data Mart created, or even for each "Business Process."

The "owners" must be the final say on new business process implementations and changes.

Any technical issue must be communicated to them.


4. Education:


There is no way around it; users must be trained to use BI or they will continue to rely on spreadsheets and Access.

IT staff must be trained to respond to project changes.

If at all possible and necessary, create a training programme for: new employees, affiliates, partners, and so on.


5. Set priorities!


Make the corporate vision a priority.

When modifying the project structure, use caution.

Make BI stability a priority.


Sixth, new deployments:


The project will not be statistical in nature.


Documentation: 7.


We don't remember what we did three months ago, so ALWAYS document.


8. Get ready for expansion:


The important thing is to always implement in smaller pieces, or you risk never completing the project!


9.Always keep the business in mind!


BI projects are business projects, so keep the business in mind!

When deciding which technologies to prioritise, use caution.

Keep an eye out for "technes."


Always keep in mind:


Manage business rules and requirements.


Set the corporate priorities first.


Structures must be maintained.


Concentrate on the business!
The tools make the deployment easier!




We hope you found the reading enjoyable.


Comment, share your thoughts, complain, and praise - always strive to improve!