But it seldom works out for the following reasons: As a result, the stakeholders end up being dissatisfied, and the business users lose trust in your solution.One of the most effective ways to implement an enterprise-level BI Project is to execute it in a staged or phased manner.
But it seldom works out for the following reasons: As a result, the stakeholders end up being dissatisfied, and the business users lose trust in your solution.One of the most effective ways to implement an enterprise-level BI Project is to execute it in a staged or phased manner.Tags: Essay On My PetFreud Essays Theory SexualityMysteries Of The Rectangle Essays On Painting 2005Importance Of Critical And Creative Thinking To An Individual'S LifeWhat Are Your Future Goals College EssayBusiness Planning Examples
Here’s how a BI project typically navigates to a dead end.
The BI development team meets with all the stakeholders to gather project requirements.
It will also allow you to develop your project iteratively, regularly interact with stakeholders to keep them informed of your progress, and incorporate any feedback that you get from them. Create mock ups and take a sign off – One of the most common reasons why BI projects get delayed is because the stakeholders simply don’t sign off on the deliverables.
So create mockups of your reports and dashboards, present it to the decision makers and ask them to sign off on it, so you can get to work.
Collect analysis & reporting requirements up front – Make a list of all the key stakeholders, decision makers and end user groups (business users) who will be impacted by your BI solution.
Schedule interviews to gather all the requirements from the them.Consequently, the end users will lose confidence in your solution and stop using it altogether.So it’s essential to build in both automated and human-based data validations at every stage of your project to ensure that data issues are caught as early as possible and not allowed to pass through your system. Gradually roll-out your project – Instead of having a grand organization-wide launch of your project, roll it out silently to a couple of departments or teams, ones who are the most ardent supporters of your project.With this information, you can sequence the data processing units correctly.Also, if you hit a roadblock in one area of your project, you can keep the other parts moving.Which departments can give you the flexibility & time to work on a phase 6.Validate your data – If you feed faulty data into your BI system, it will give incorrect business insights and generate inaccurate deliverables.It can also empower key stakeholders to perform ad-hoc analysis to discover growth opportunities and analyze data to validate their ‘gut feeling’.However, more often than not, BI projects deliver mixed results and even fail miserably, in some cases, leading to inflated budgets, data issues, tremendous delays and unhappy end users.It enables you to spot issues early on and do course correction before it’s too late.Here are 7 things to consider to avoid any pitfalls while implementing your BI project 1.