How can you identify all relevant BI-related problems?

Identifying all relevant Business Intelligence (BI) related problems involves a systematic approach that encompasses understanding the goals of BI implementation, assessing current processes, and soliciting input from stakeholders. Here's a step-by-step guide: Define Objectives Review Current Processes Engage Stakeholders Data Audit Gap Analysis Benchmarking Feedback Loops Technology Assessment Risk Assessment Prioritization Cross-functional Collaboration Continuous Improvement

To identify BI-related problems, conduct user feedback surveys and stakeholder interviews for insights on usability and expectations. Audit data for quality issues. Analyze BI system performance metrics for technical bottlenecks. Evaluate training and support effectiveness. Use BI usage stats to spot underutilization or adoption gaps. Benchmark against industry standards to identify functional gaps. Review the BI infrastructure for technological limitations, and ensure compliance with data security regulations. Facilitate cross-functional workshops to uncover hidden challenges. This holistic approach helps pinpoint a wide range of BI problems.

Without taking time to understand more about your objectives , it will be really opposing to know what is the problem that you need to solve

In any BI project, understanding the scope of the project and knowing your audience is the first step. Once that is understood, aligning your project priorities with the stakeholder's objective and relating that to the overall company's vision and strategy helps build on the impact as well as the right value proposition.

It's crucial to understand the context of your business. Start by identifying the strategic goals of the relevant business units and determining what information could help solve problems or better exploit opportunities. Then you can derive from that, how data & analytics can help to leverage the required information to leverage opportunities and mitigate risks. Data & Analytics can play a key role in this process by providing insights and helping to identify patterns and trends. By understanding the context and leveraging data, you can effectively identify and address BI-related issues.

It's important to examine the data. But start by understanding the business questions that need to be answered, and then check if the data is available and can be used in the required form. This is the much more value oriented approach than first reviewing the data and deriving its uses. By examining the data in this way, you can effectively identify and address BI-related issues.

Use lean and agile approaches, work with MVPs, and pilot solutions before spending huge efforts to implement something that may not bring the expected value in the end. By validating your assumptions and using these approaches, you can effectively identify and address BI-related issues.

Nem sempre a primeira solu??o é a melhor. Na minha experiência, criar modelos alternativos e compará-los é essencial. Isso pode ser feito usando diferentes técnicas de modelagem de dados ou até testando diferentes cenários em ferramentas de simula??o.