Existing QlikView apps Upgrade and new QlikView apps Development for new Business Analytics needs
Goal
The client’s B2B customer relationships business teams (who are installed in different geographical locations) work with several Qlikview apps that needevolution to meet the additionalbusiness analyticsrequirements and need new QlikView apps for newbusiness analytics requirements.
The client’s B2Binternal IT team needs to automate several manualdatapreparation and cleaning processes executed weekly by a dedicated team which cost an additionalbudget.
The client need help from a senior BI consultant on both the business analysis side and technical implementation side, to accompanysimultaneously several business teams on the development of their QlikView apps, and the IT team on the automation of their actual manual data preparation processes.
Result
Delivery of newversions of the actualQlikView apps with additional business metrics and KPIs that meet the newbusinessneeds.
Delivery of several newQlikView apps for completenew Business Analytics projects.
Fullautomation, by an SQL Server Integration Services SSIS project, of several actual manual data preparation processes which allows the client to save time and budget.
KPIs Examples of the Project Business Context
Details
Continuouscollaboration remotely with businessteams on their respectiveQlikViewdevelopment project.
Advancing simultaneously on multiple QlikView development projects.
Planning with each business teaminadvance the nextmeetings and steps of their project.
Quick study of the technicalcontext and business analytics requirements of eachQlikView app development project.
Formulating the different BusinessMetrics and KPIs of each project.
Design and development of the QlikView app for each project.
Agile Project Management: continuous weekly meetings with each business team, continuous and incremental deliveries of the developed QlikView app of each project, and its validation with the business team until its complete validation.
Design and development of a Data processing project (with SQL Server Integration Services SSIS) to automatically prepare, process, and load data from severaldata source systems to the Staging database and then to the DataWarehouse, and finally loading Data to QlikView apps.