It’s hard to believe that we are now over 30 years into data warehousing. In that time, we have seen major changes in tools to help user report on and analyse data. In the last twenty years, we have seen the evolution from reporting, ad hoc analysis and advanced analytics. Today, BI/Analytics is a mature market with self-service BI and visual analysis standards in most organisations with self-service data preparation also widely deployed.

This post describes an architecture, and associated controls for privacy, to build a data platform for a nationwide proactive contact tracing solution.

Effectively managing data in an edge-to-cloud world is becoming increasingly complex. Enterprises need data management simplicity and agility to maximize the benefits they can get from their data. The enterprise that will succeed will shift resources away from mundane data management tasks to focus on using data to innovate and add business value.

Yellowfin 9 is defined by the belief that design matters. The ability to create a cohesive design look and feel across analytics dashboards and reports is particularly crucial for independent software vendors (ISVs) that embed analytics into their applications. Interestingly, when you take a look at the wider analytics market, few vendors are providing the toolkit that designers and developers need to build the analytical experiences they want.

ETL tools help companies to streamline and enhance their data operations. They automate the repetitive tasks involved in extracting raw data from sources, transforming data into a consumable format and loading into data warehouses, where it is ready to be analyzed. With so many offerings available to you, all of which do the heavy lifting ‘out of the box’, it is hard to discern which ETL tool is best suited to your needs.