Azure Data Lake Implementation Case Study

Key Challenges

■ Lack of business engagement
■ Need to improve the quality and process through automation
■ Need to deliver more with fewer resources
■ Need for cost saving – choosing the right consumption plan
■ Educating existing staffing new technology whilst continuing with new projects and BAU
■ No enterprise architectural direction coupled with the use of cutting edge technologies meant our expertise
was heavily relied on
■ Deployment of applications was complex due to a reliance on teams who’s code was not ready for production therefore careful branching was required to mitigate risk
■ Mindset shift required to overcome security concerns
■ The precise level of benefit to the business was unknown