Durante décadas, a modelagem de dados foi a maneira ideal de projetar e implementar novos bancos de dados relacionais com fontes de dados de alta qualidade.
Data can pave the way to successful business transformation, but only when the data strategy is focused on end-user adoption. Data accessibility, enterprise data literacy and data trust are all essential elements in developing a thriving data culture.
AI has the power to help your organization disrupt, innovate, generate faster data insights, cut costs and increase productivity. But trusted and responsible AI is dependent on high-quality, trusted data and transparent, observed and accessible data.
Anyone within your business should be able to request a new data product, including data, reports, associated AI models, data lineage and other related insights without requiring a long journey through a laborious software development lifecycle.