Bringing the Office of Finance into the Age of AI with Dataiku -- I-COM

February 25, 2021 / By Catie Grasso - Dataiku -- When choosing a data science use case, it's important to identify the potential business value (i.e., who will the project benefit, how will it change their current processes and habits), the level of necessary effort, and the likelihood of success (how much risk is involved). No matter the industry, often a great place to start for AI use cases is the office of finance within an organization, as the teams within that group work with a significant amount of data and do a lot of spreadsheet-based work. In this article, we'll summarize why the office of finance (notably the tax, audit, and finance functions) are primed for AI transformation, as well as ways Dataiku can help bring them up to speed for a modern analytics strategy. According to Deloitte, "We observe many isolated data silos within the office of finance, leading to various reconciliations, highly intense manual labor work, and an immense amount of data quality issues. A data-driven finance function recognizes the full potential of granular data, managing data as a strategic asset."