Data Warehouses (DW) are developed by many organizations as a resource for Business Intelligence (BI). Business intelligence refers to the set of capabilities for the collection, storage and analysis of data produced by a company’s activities. BI tools and applications provide actionable reporting, performance measures (KPIs), and trends that inform management decision-making. A Data Warehouse…
Massive amounts of data being generated and collected across virtually all parts of business ecosystems – manufacturing, supply chains, marketing, online advertising, customer relationship management, social media – making business operations open to data mining for business problem solving and competitive advantage. The work of a data science team (or if you prefer, data engineering…
Consider parts 1-2 as Agile for Data Scientists. This addendum could be considered Data Science for Agilists, and seeks to illustrate some of the fundamental concepts of data science and machine learning referred to in earlier posts. Definitions: Data Science vs. Machine Learning Data Science is a field that studies how to extract meaning from data,…