Business Intelligence

Getting Ready for BI: Data Management Best Practice

To truly reap the benefits of BI, a little housekeeping is necessary. Making sure your organisation is BI-ready


BI is in hot demand but, for it to have the effect businesses want, it’s necessary to let it cool, take shape and reveal its capabilities first. In 2021 alone, the business intelligence market hit a staggering $24.05 billion

Demand for BI and analytics are only increasing, but businesses that take on data projects with a key focus on speed may find themselves lacking the results they want when it’s time for the big reveal. 

Achieving the outcomes you’re looking for from your data project requires more than investment and execution. You need a clear set of best practices on your side consisting of careful planning, comprehensive brainstorming and the right strategic partnership with an experienced data project facilitator. 

Let’s take a closer look at how you can prepare your organisation for BI and how pre-project workshop engagements can prevent project catastrophes. 

The Main Reasons Why Data Projects Fail

Initially, projects handling big data and overseeing massive operational changes can start with a lot of potential - only to hit a wall soon after taking off. 

Project-specific oversights, blind spots and development hiccups can stall and erode the initial enthusiasm all parties had for it.

Generally, there are three common potholes in the project road that didn’t initially display on the roadmap, they are:

  1. Rushed, incomplete or unrealistic project planning and scoping - a data project should not be aiming to solve every problem at the same time. Those that do generally end up collapsing under the weight of their own objectives. Hurried timelines can also gloss over vital project planning time, allowing the scope of the project to be properly defined.  
  2. Poorly designed data architecture - project designs that don’t acknowledge or cater to various data types and formats, and rather opt for a generalised data approach, usually end up in development limbo. Data projects must take into account and factor for different data types, datasets, data volumes, user count, types of data gathered as well as software and technology variables. 
  3. Inefficient or unusable data- poor data quality can inhibit and even prevent access, assessment, interpretation and integration from different sources located in different systems, slowing down the project process and even grinding it to a standstill. 

These, among other planning oversights and failures, are sure to bloat project timelines, increase development costs and cause stakeholders to lose interest and possibly even withdraw from the project. 

Adopting a pre-project workshop engagement where developers and stakeholders can meet and ask the right questions is a vital step for keeping data projects on track and preventing project failures from occurring. 

EWX’s workshop engagement model is geared to keep projects within realistic, achievable scopes and timelines. 

How EWX’s Azure Workshop Model Prevents Project Deadends and Failures

We firmly believe in finding the right fit first before leaping headfirst into any big commitments. Our Azure workshop engagement model provides the opportunity to do just that.

Azure gives you and us the space to collaborate, discuss key concerns and considerations, map out the unique structure and requirements of your organisation, and assess your current data environment as well as stakeholder requirements, goals and timelines. 

By the end of the workshop, you’ll have a clear, concise Azure roadmap that reflects the unique and key considerations of your project, organisational goals and stakeholder requests. 

No matter your industry or business positioning, we’ll conceptualise and develop potential project pitfalls, development snags and possible failures by asking the right questions and analysing the right information to delineate a clear and precise project scope.

You’ll have the chance to assess your unique roadmap, ask questions, and ultimately decide if it's right for you and your business before signing off or making any commitments. No pressure whatsoever.  

If you decide to continue, we’ll come back to the table to determine the ideal look and structure of your data to ensure all project goals and considerations can be met. From there, we’ll move into an engineering state to develop the most optimal BI and analytics solution based on the workshop roadmap findings and decisions. 

Conclusion 

Getting true value from your data project is about more than results - it requires careful consideration, planning and insight every step of the way. 

At EnterpriseWorx we pride ourselves on our attention to detail which, when combined with our extensive experience in data analysis and management, means we have the resources to support and facilitate your project according to your needs from day one. 

Speak to us about your project requirements and data considerations and they’ll help you map out the best road to take to get you where you want to go. 

Similar posts

Seeking meaning in your business? 

Whether you are asking for a friend, learning new business ideas, or even trying to make sense of data and the intelligence it provides. Subscribe to our blog for Free how-tos, DIYs and awesome intro, and deep-dive technical talks!