not be able to get a full picture of your business. This potentially affects the ability of a business to make crucial decisions, such as how to improve your products and services, the best way to speed up manufacturing or where to site new warehouses. Your data will lay dormant, scattered, unused and often perceived to deliver no extra value. There are many different models of enterprise data architecture, all with different benefits, drawbacks and challenges for a business. The aim of this white paper is to guide decision makers towards an enterprise data strategy that will get maximum benefit from their data while staying realistic given timelines, skills available and budget. 3 Data...
not be able to get a full picture of your business. This potentially affects the ability of a business to make crucial decisions, such as how to improve your products and services, the best way to speed up manufacturing or where to site new warehouses. Your data will lay dormant, scattered, unused and often perceived to deliver no extra value. There are many different models of enterprise data architecture, all with different benefits, drawbacks and challenges for a business. The aim of this white paper is to guide decision makers towards an enterprise data strategy that will get maximum benefit from their data while staying realistic given timelines, skills available and budget. 3 Data Integration [email protected] www.cloveretl.com Table of contents Introduction 2 The Guide  5 Using Operational Data Directly 5 Operational Data 6 Unstructured data 6 Developing a data culture 7 Operational Data Store 8 ODS (Operational Data Store) 8 Data integration 9 Data Warehouse 10 Data Warehouse 11 Which type of data warehouse? 12 Inmon vs Kimball 13 Data Vaults 14 Data Vault 15 Three data warehouse methodologies compared 15 Data Lakes 16 Data Lakes 17 Data lake vs conventional data warehouse 18 Impact of the cloud 19 Cloud19 Conclusion 20 4 Data Integration [email protected] www.cloveretl.com