Veja como você pode navegar e minimizar riscos em projetos de Business Intelligence como executivo.

From my experience, to mitigate risks in BI projects, I use manageable iterations. This has enabled me deal with changes in project scope/KPIs, as well as bad data.

Dentro de um projeto de BI é fundamental realizarmos a etapa da avaliação de riscos. Em minha experiência, foi um das etapas cruciais para o andamento dos projetos que participei, visto que, sem esta etapa, os projetos teriam se encerrado sem sucesso. Por mais simples que seja, acredito que a análise SWOT se encaixa bem, pois conseguimos mapear o básico, além de envolver alguns aspectos culturais que estão envolvidos e podem afetar um projeto de cultura de dados, por exemplo. Acredito ser interessante também nesta fase praticar a análise de negócio e processos, conhecendo os envolvidos e suas resistências.

From my experience, to mitigate risks in BI projects, I use manageable iterations. This has enabled me deal with changes in project scope/KPIs, as well as bad data.

Implement Robust Data Management Practices: Regularly clean and validate your data to maintain accuracy and completeness. Establish clear data ownership and accountability within your organization. Invest in Data Quality Technologies: Utilize tools that enhance data quality and provide real-time analytics. These technologies can help identify and correct data issues promptly. Continuous Monitoring: Set up continuous monitoring processes to detect and address data quality issues as they arise. This ensures that the data feeding into your BI tools remains reliable.

Involve IT Experts Early: Engage IT professionals in the planning stages to assess compatibility and infrastructure needs. Their expertise will help identify potential integration issues before they become problematic. Choose Scalable Solutions: Select BI technologies that can grow with your business and adapt to future advancements. This ensures that your investment remains valuable over time. Careful Planning: Develop a detailed integration plan that includes timelines, resource allocation, and contingency measures. This preparation can prevent costly disruptions and ensure a smoother transition.

Communicating Benefits Clearly: Explain how BI will improve workflows and decision-making, highlighting specific advantages for different roles. Providing Comprehensive Training: Equip employees with the skills needed to use new BI tools effectively, reducing anxiety and resistance. Engaging Stakeholders: Involve stakeholders at all levels to champion the change, gather feedback, and adjust the approach as needed.

Select Aligned BI Solutions: Choose BI solutions that support your long-term objectives and can adapt to changing business needs. Regularly Review BI Strategy: Keep your BI strategy in sync with your business direction through regular reviews and adjustments. Involve Key Decision-Makers: Engage key decision-makers in the BI planning process to ensure alignment with overall business goals.

Regularly Reviewing Processes: Assess and enhance your BI processes and outcomes. Solicit User Feedback: Identify areas for improvement based on user experiences. Stay Abreast of Trends: Keep up with emerging BI trends and technologies to maintain a competitive edge.

Make sure to have repetitive short review loops in the process. This will help you ensure 3 aspects are always in going right - 1. Team sync with the process and goals 2. Scope for improvisations 3. Regular adaptations and applications of latest BI trends and technologies These 3 things will ensure that your BI initiatives remain effective and always provide a competitive advantage over the fellow players in the market.