Managing Data in the Cloud

Data quality management

There are no inherent data quality benefits with a cloud data warehouse versus on-premise solutions; the CDO still must proactively manage data quality. However, the cloud infrastructure and cloud solution provider can execute data quality tasks, as defined by the CDO team, often at scale with automation and data services.

Develop

Develop an automated, proactive archive-and-delete calendar and rules for “end of purpose” checks.

Create

Create data quality rules and tasks for duplicate matching, elimination, and best-record consolidation.

Automate

Automation and real-time testing are even more vital. Most cloud providers offer data quality management add-on services or tools.

Provide feedback           

Provide feedback to third-party data providers on quality issues.

Figure 2: Additional capabilities

Analytics

CDOs should consider the advantages of analytics in the cloud. Benefits include speed of innovation and operation, greater cost savings, secure access to strategic insights, real-time analysis of data regardless of its location (on premise or in the cloud), increased mobility, and the potential for more accurate and timely forecasting. These make cloud analytics a high-impact driver of innovation and value. 

Cloud analytics enable more insight-driven decision-making but also become more complex. Before you implement cloud analytics, you should first address some key questions. Executives, managers, analysts, and front-line workers all make decisions. Some decisions are strategic, some are operational or tactical. How do you support the diverse decision-making needs of your entire organization? Decision-making is a multi-faceted process involving many steps such as making an incremental