How To Choose A Data Extraction Tool
How To Choose A Data Extraction Tool You have data. But it is stuck inside siloed sources such as GA4, third-party tools and databases. So how do you get it…
read moreHow To Choose A Data Extraction Tool You have data. But it is stuck inside siloed sources such as GA4, third-party tools and databases. So how do you get it…
read moreData Extraction: Key Considerations Data extraction is the process of retrieving data from multiple sources and consolidating it into a single destination. This method allows organisations to aggregate and analyse…
read moreGetting The Most Out Of Your Data Sources The starting point for a lot of organisations in implementing data is to understand the different data sources you are using today,…
read more5 Key Considerations When Designing A Data Stack A data stack is all the different tools you will use to organise, transform, visualise and analyse data. There is no such…
read moreReverse ETL - How To Get There Reverse ETL allows you to pipe modelled data directly into the applications that your business users are already familiar with. It is a…
read moreHow Is Data Activated Today? In the age of information, data has become the lifeblood of modern businesses. Companies have access to an unprecedented wealth of data on their customers…
read moreWhat Are The Challenges With Personalisation? Personalisation seems simple, it is all about combining your data to hone messaging. Yet companies of all sizes are struggling to initiate successful campaigns.…
read morePersonalisation: What Does Good Look Like? A Simple Scenario…Imagine you are a valued customer at a luxury hotel chain, Five Seasons. You have just arrived in New York for an…
read moreA/B Testing Product Changes new and exciting AI technology emerging around recommendation engines, how can product leads evaluate which solution is better and how to really measure a “better recommendation”?173tech…
read moreDemonstrating Business Impact Of Data Projects It is still true today that demonstrating tangible business impact from Data projects remains challenging. But why is this and what can you do…
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