Read about the impact of IT and business misalignment on the organisation’s overall success. We share our tips on how to bridge the Tech and business gap.
Continue readingWhat happens if (2/4): You take business initiatives without onboarding the IT department
Learn more about the common mistakes of digital transformation programs: taking business initiatives without onboarding the IT department.
Continue readingCustomer experience with a multichannel real-time data approach
Discover how to add value to your retail business and to personalize each customer engagement trough by integrating a multichannel data approach across your real-time reporting and your data science models.
Continue readingDigazu helps you answer the ETL challenges
Digazu helps companies leveraging the value of their data, by extracting data only once, sharing the transformations on data, and loading transformed data multiple times.
Continue readingThe challenges of ETL and their related data-driven business ambitions.
Today’s business are trying to become more data centric or to develop their data culture. To do so they have to start leveraging insights from their data. Therefore, ETLs (extract, transform, and load) are essential in data integration strategies.
Continue readingData challenges across companies
Data challenges across companies and departments; time-to-market, cost and feasibility of your data science projects all depend on your processes and tools.
Continue readingPurpose of Digazu
Digazu was made to create added value for companies from their data and make complex data engineering easier and Faster.
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