What do you do if you're asked about the latest industry trends in a BI interview?

If you're asked about the latest industry trends in a Business Intelligence (BI) interview, you should demonstrate your knowledge and awareness of current trends in the field. Highlight key developments such as the importance of data governance, the rise of augmented analytics powered by AI and ML, the shift towards connected cloud solutions, and the emphasis on collaborative BI tools. Additionally, mention the significance of self-service BI interfaces, mobile BI capabilities, hyperautomation, and the impact of augmented analytics on BI platforms. Showing familiarity with these trends can showcase your expertise and understanding of the evolving landscape of Business Intelligence, which can be valuable in an interview setting.

N?o é exigido conhecer uma nova ferramenta ou tecnologia, mas o conceito que a torna relevante no contexto de Analytics e o seu potencial de agregar valor para os negócios. Também é importante demonstrar domínio sobre a jornada de dados e onde a nova tendência se encaixa: coleta, catálogo, modelagem, extra??o, transforma??o, ingest?o, armazenamento, linhagem, orquestra??o, consumo, visualiza??o, análise e decis?o. Além disso, esclarecer quais aspectos da inteligência de negócios ser?o impactados: engenharia, ciência, arquitetura, governan?a, seguran?a, qualidade, manipula??o, performance, escalabilidade, disponibilidade, democratiza??o, alfabetiza??o, interatividade, agilidade e facilidade para insights, storytelling, entre outros.

If you are considering to chose a technical or scientific career, remember that you will need to keep studying for the rest of your life! Keep yourself update about the latest trends, try to connect it with your job and when asked about it always complement it with you personal experience! This attitude will show that you are able to connect the dots and bring things to practice!

30 years ago, Kaplan and Norton posed a crucial question: Would you board a plane without a control panel? Today, we add another dimension: Would you board a plane without thorough hangar checks? A KPI serves as a control gauge, measuring results against objectives. Did we achieve our goals? However, it falls short in addressing broader management needs: Spotting emerging changes before they impact results. Identifying inefficiencies, irregularities, and anomalies comprehensively. AI-driven Deep Diagnosis supplements KPI control, addressing critical queries: Why did our KPI fall short? How do changes impact the factors driving business outcomes? Where can we maximize the impact of improvement initiatives?

A very important thing to keep in mind while doing so is the Analytics maturity curve where you need to identify where you're positioned on it. Use this concept always regardless of what technologies are being used.

I believe, AI, machine learning, and self-service BI tools along with Data governance and compliance are key trends. Real-time analytics, effective data visualization and storytelling techniques, Predictive and prescriptive analytics are also most talked about topics nowadays. Having said that, I would like to emphasize the importance of staying updated with industry trends and continuously learning new skills and technologies to remain competitive in any field and mainly in BI field which is very dynamic!