How is Enjoy Digital raising marketing ROI for their clients while saving 3 man-days per month?

Enjoy Digital is one of the fastest-growing independent digital agencies in the UK. They help their clients create innovative digital experiences that rethink and reshape the digital marketing landscape. And they back their success up with hard numbers. We talked to Luigi, a senior data engineer at Enjoy Digital, to discover how their small team of data experts fuels data-driven growth for the entire marketing agency. But the path to driving marketing growth with data was not always smooth.

Quick Qlik - Qlik Sense Mobile Design Tips and New Landscape Mode

When designing mobile analytics solutions for Qlik Sense Mobile you want to make sure your customers have the best user experience. Qlik Sense sheet properties provide small screen layout settings, configurable sheet sizes and grid spacing adjustments to style your dashboards to deliver this experience. Chart objects are responsive and can be displayed in a list view or grid view on your device and now with support for Landscape mode your visualizations can be displayed just like they are when using a web browser on a computer. Making it easier to view and your mobile Qlik sense apps.

Anodot Named by Forrester in Future of Business Intelligence Report

It’s hard to believe enterprise BI platforms have been around for three decades. In that time, they have served the purpose of collecting and analyzing large amounts of data to help businesses make more informed decisions. But in today’s data-driven economy, analysts struggle to keep up with the myriad of business intelligence reports from traditional BI tools – which fail to effectively and efficiently analyze and interpret data in real-time.

2022 Data Delivery and Consumption Patterns Survey: Highlights and Key Findings

As big data continues to grow exponentially, enterprises are discovering that legacy data environments (e.g. data warehouse or data mart) were never designed to efficiently process and extract insights from the vast volumes of data they generate today. In turn, enterprises are shifting investments away from legacy data environments and searching for future-proof alternatives (e.g., data lakes, data lakehouse, data fabric, or data mesh) to support data-driven, new-generation initiatives.