Top 10 Tips for a Successful Power BI Implementation


1. Create A Plan for Using Data Analytics & Get Top-Level Management On Board

The insights gained through data and analytics are undeniably potent, but the process itself is complex, and most businesses simply can’t afford to ignore them. Leaders are counted on to make sound, long-term choices.

A successful data analytics strategy bridges the gap between the company’s vision and its value to customers. Recognizing the organization’s goal is the first step. Second, while working toward business objectives, the most important results should be your first priority. Identify the current and future requirements of your organization. For instance, does the company now have the infrastructure in place to support D&A as a generic capability, with a primary emphasis on operational reporting requirements? Or, will D&A (Data & Analytics) be the engine that propels the company toward its future objectives? In order to describe operational inefficiencies or a decision that had an adverse effect, provide concrete prior examples. It will be much easier to acquire the buy-in of executives and stakeholders once you have defined objectives and the value Power BI delivers to the organization.

2. Define Your Scope Precisely (But Be Adaptable)

Challenge accepted. First, let’s establish that the needs of the company, in concert with those of its IT partners, should be used to determine the scope. According to Kimball, the scope of a business intelligence project needs to be substantial enough to be useful but small enough to be feasible. To the extent that anything is meaningful, it is seen as having value to the company. When something is manageable, it’s not impossible to do. With that in mind, think about making baby steps.

In many cases, projects begin with a clear understanding of what needs to be accomplished and a solid plan and timeframe in place. Even though it’s crucial to have a well-defined plan and scope from the get-go, flexibility is equally essential. While it’s important to identify and evaluate potential threats during the project’s discovery phase, it’s not uncommon for surprises to emerge once actual work has begun. Plan for the possibility of altering both the scope and the plan as circumstances warrant. The last thing to remember is that it’s just as crucial to understanding what is out of scope. Clearly setting expectations for stakeholders requires articulating what does not belong to the scope of work.

3. Pay Close Attention to Data Governance From The Start

This is a substantial matter. Data usability, availability, privacy, and security may all be guaranteed with proper data governance. You shouldn’t wait until Power BI is fully implemented before deciding on a data governance strategy. A data governance policy can be organized in a variety of ways. Having a governance board or data stewards to assist establish and enforce guidelines is one option to examine. For this reason, it is important to include business users in the process of creating data standards. Creating standards for master data management will be the engine that propels and maintains high data quality. Finally, the company has grown into a robust data-driven culture thanks to the policies established by the governance team.

4. Put A Sound Communication Strategy into Action

It’s crucial to keep the project’s backer and other interested parties in the loop at all times. There are several forms of proactive communication. Start with a kick-off meeting to bring everyone on the same page regarding the project’s goals, timeline, constraints, challenges, and dangers. Send a typical weekly status update to update them on the project’s progress and any problems that have arisen. Keep the same group updated on the project’s status by holding regular meetings to review progress (every month or after each significant milestone).

5. Collaborate With a Reliable Implementation Team Or Partner

A new business intelligence system implementation is no easy task, it should go without saying. Be sure that the IT department has the skills and, more crucially, the manpower to handle this challenge. Get a seasoned project manager and a committed sponsor in place first. A data architect, business analyst, data steward, data scientist, database administrator, and compliance and security lead are all essential members of any successful project team.

It is essential that the project manager has access to qualified individuals who can carry out the project’s objectives. Consider hiring an outside implementation vendor if your company lacks the resources to assign a team to the task. However, the search for the ideal candidate is a challenge in and of itself. Verify that any potential vendor you work with has extensive relevant experience, the proper set of abilities, a proven track record, and places the needs of their clients first. Ask for a ‘recommendation call’ with a previous or current client once you have narrowed your vendor alternatives down to two or three.

6. Create An Implementation Roadmap

Whether you’re using an agile, waterfall, or some other approach to project management, it’s important to keep everyone in the loop about the schedule and the status of the project’s various milestones, deliverables, and tasks. Power BI implementation is a multi-stage process, as you might expect. You should clearly spell out the ‘who,’ ‘when,’ ‘how,’ ‘why,’ and ‘what’ of a project in a detailed plan. When you look at a roadmap, you’ll see a timeline of all the major steps and results. Although it may be quite abstract, stakeholders will value the transparency it provides. The only thing that will never change is the fact that we all know it will.

As you move through the phases of implementing Power BI at your company, you should expect your roadmap to evolve. The idea is that it should be easy for anybody to glance over and understand what has been achieved and what will be accomplished next. Thousands of sample roadmaps are available for download online. It’s not just a great way to keep in touch with people; it also helps you adjust to new demands as they arise. Whatever method you pick, make sure the format is straightforward and that the degree of detail is just right for your target audience.

7. Think About What Has to Happen Following the Implementation

You have just released a cutting-edge BI tool to the public. Each user has complete freedom of action. The question then becomes, ‘So what?’  Is the Power BI solution manageable by the in-house IT group? Is it something they can keep improving as time goes on and new demands arise? Can you tell if people are actually making use of the tool? Do they need training? Can the IT department and end-users access the same set of tools? Keep in mind that Power BI updates frequently. In what ways can it be available to the general public? Is your in-house IT department capable enough to handle Power BI and its users from day one, you may want to look into getting some outside help.

8. Realistically Assess Your Organization’s Readiness

We would recommend taking things slowly or putting plans on hold if your company is not yet prepared to embrace a new business intelligence system. Instead of pushing through risks, resistance, and challenges during implementation, it is preferable to pull the plug before major investments are made. Doing so is dooming the project. There are a number of factors, but whether or not the group has at least one powerful sponsor is crucial. This sponsor needs to be a powerful figure who can foresee the benefits of the proposed solution. The data-driven culture shift is a clear sign to demonstrate that organizations recognize their need for better access to information and to make a shift. The greater the support from management, the more likely the initiative will be a success.

9. Think About Which Project Management Approach Is Ideal for Your Company

It’s no easy task to roll out a brand-new BI system like Power BI. There are project managers out there who will insist that their approach is the UNIQUE one. In this case, we must declare that your method is the most effective. To begin, find a capable project manager to lead the effort. In order to prevent problems from becoming catastrophic, a good project manager will be able to spot them early on, respond to them appropriately, and then fix them.

According to experts, Agile frameworks are highly efficient for the development of technological products. The key to a successful project is an iterative delivery in short timeframes in an incremental manner, with a focus on the business needs, regardless of whether the project manager is a scrum master or a Kanban believer. The ultimate goal is to increase the company’s bottom line. Also, you can’t overstate the importance of developers and stakeholders working closely together and forging a solid collaboration with the company.

10. Thoroughly Understand the Target Audience & Their Needs

At some point in the process of rolling out Power BI across your organization, you’ll need to have a firm grasp on the needs of both the business and the IT department. The process of defining requirements ought to be one of gradual refinement. As you begin to assess and build upon your existing knowledge, it is reasonable to assume that requirements may shift. There are a number of ways to gather and examine needs. You can discover a lot by using a variety of methods, including workshops, interviews, and process models. Facilitators, often the project manager, are key to getting the business and technical delivery teams to work together to fulfill the organization’s goals. Requirements collecting and analysis work is essential in today’s technological context, where change, ambiguity, and complexity are the norm.

Please use these suggestions to implement Power BI efficiently in your company.