When it comes to Power BI Report Strategies, companies need to think globally but plan locally. Although international companies may consider themselves data-driven, the truth is that consolidating data from around the globe into a usable format for decision-making has multiple challenges. For example, some countries restrict where data can be stored. Others dictate how the data is stored and shared. Those local requirements directly impact how data is collected, stored, and shared across an enterprise.
Power BI Data Strategy
To ensure a smooth workflow for data consolidation, organizations need a global data strategy that acknowledges the local requirements while providing corporate guidance on each phase of the process. A sound power BI data strategy should include workflows that address the following:
Collect and Store
What is considered personal data varies from jurisdiction to jurisdiction; however, the general concept is any information that can be used alone or in combination to identify an individual is considered protected data. Many countries and industries require certain types of personal data to be encrypted when stored, while others may simply prohibit storage. For locations where data can only be stored locally, incorporating data into a corporate-wide analysis can prove challenging.
When securing data, think enterprise. What data should be encrypted, and in what way? As much as possible, organizations should develop standards that are applied across the ecosystem. At the same time, the encryption should adhere to the local guidelines. The more consistent the data, the easier it is to analyze. Businesses have to address the challenge of securing data while adhering to localized regulations.
Using platforms such as Microsoft’s Azure and Office 365, businesses can set privacy policies to control access to information. Within PBRS, privacy settings can be applied once Microsoft’s solutions have been configured. These settings enable organizations to consolidate information in a single location for use throughout the enterprise. Data lakes can be used to normalize the data for easier access.
Use and Share
Taking a comprehensive look at data privacy helps organizations ensure data consistency and integrity. It also enables the implementation of workflows that can be adapted to local requirements. This strategic approach helps companies realize the benefits that come from big data while still adhering to data privacy laws.
With the automated data workflows, organizations can set what data is shared with end-users based on job responsibilities and location. The guidelines are automatically enforced, making it easier for employees to find what they need without jeopardizing the data integrity requirements of local jurisdictions. Given the complexity of data protection, having a solution that automates the process can also simplify it.
Data privacy laws are jurisdiction-specific. For example, the GPRS regulations only apply to members of the European Union. Other countries may or may not follow the guidelines. Workflows can ensure that data use complies with government and industry regulations. Once the workflow is established, IT doesn’t have to constantly adjust availability or worry about unintended security compromises.
According to a recent study, human error is responsible for the majority of data breaches that result in data loss. In the rush to complete tasks, employees make mistakes. They click on a link or browse to a website that leads to bad actors waiting to gain access. Using well-designed workflows, organizations can minimize risk by removing humans from the process. Unless the process changes, security specialists don’t need to worry about human error.
A strong power BI data strategy looks at an organization’s entire ecosystem to identify what data is needed. It then assesses the local requirements for data protection and creates an approach that uses well-designed workflows to balance the challenges of a global strategy.