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Top2. Literature Review
Data warehouses have the potential to provide business intelligence solutions for companies looking for competitive advantage (Rahman, 2013a). Fortune 1000 companies make strategic and tactical business decisions using the data warehouse as the central repositories of their enterprise data (Wixom & Watson, 2001). In an enterprise data warehouse new projects land over the years and a lot of enhancement and maintenance activities occur as part of day to day operations. All these activities require new objects installation or changing existing objects in the data warehouse. Given these activities how do we ensure that these day to day activities do not make data warehouse environment unstable, cause data quality issues, and impact analytical activities?
Based on real world observations of data warehousing projects implementation and past research findings (Arnott, 2008; Rahman, 2013a; Aiken et al. 2011; Bellatreche & Kerkad, 2015; Rabuzin, 2014; Zolait, 2012) the authors have determined that certain key areas of data warehouse activities need to be governed in a disciplined way. The authors believe that data warehouse objects development, installations, measurement, data quality monitoring, performance monitoring are critical for data warehouse implementation and maintenance. All these are needed to ensure that an organization can develop superior firm-wide IT capability to successfully manage their IT resource and realize agility (Lu and Ramamurthy, 2011; Mithas et al. 2011; Rahman et al., 2011; Roberts and Grover, 2012; Akhter & Rahman, 2015).