{"id":8432,"date":"2016-11-22T09:34:45","date_gmt":"2016-11-22T09:34:45","guid":{"rendered":"http:\/\/www.devopsonline.co.uk\/?p=8432"},"modified":"2016-11-22T09:35:44","modified_gmt":"2016-11-22T09:35:44","slug":"the-use-of-a-great-bi-strategy","status":"publish","type":"post","link":"https:\/\/devopsnews.online\/the-use-of-a-great-bi-strategy\/","title":{"rendered":"The use of a great BI strategy"},"content":{"rendered":"

Zafar Ali, Director, IDB Solutions LTD, discusses how you can boost your success through the creation of a good BI testing strategy.<\/em>\u00a0<\/span><\/p>\n

Enterprises use various BI tools like Cognos, Oracle Business Intelligence Enterprise Edition (OBIEE), Tableau, SQL Server Reporting Services (SSRS) etc., to analyse swathes of data and convert raw data into a more presentable format like dashboard or key performance indicators (KPIs), in order to make well-informed decisions, but you need to make sure your testing strategy is good.<\/p>\n

The success of any BI project depends on the trust of the data shown in the BI dashboard\/reports, performance of the BI system, data integrity, data security, ease of use of the application and the graphical representation of data.<\/p>\n

Testing of a large scale BI system faces challenges in the form of data quality assurance (DQA), metrics\/aggregation rule test and data grain etc. The success of any BI system depends on the traceability of the BI functionality to the business requirement (BR), issue\/anomalies fix log and how well the test cases are developed.<\/p>\n

What is BI testing?<\/h2>\n

BI testing plays a pivotal role in the success of large-scale BI rollouts in enterprises.<\/p>\n

BI testing ranges from: data validation, formatting, security, and performance to graphical user interface (GUI). Emphasis on a thorough BI is pivotal for improving the quality of data, user interface and meeting business requirements.<\/p>\n

Developing a good testing strategy<\/h2>\n

The purpose of BI\/DWH\/ETL testing is to get credible data for your end-users. Making sure a comprehensive testing strategy is adopted can increase the credibility of BI.<\/p>\n

A comprehensive test strategy is a stepping-stone for the effective test cycle of BI application. Your test strategy should cover any stage of data flow in order to make sure that the data input to data output is effectively tested.<\/p>\n

To ensure testing readiness, the following key areas of your testing strategy should be focused on:<\/p>\n