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Enterprise Information Management plays an enabling role in achieving Business Excellence. Effective EIM is based on common understanding about related concepts and definitions Enterprise Information
Having business data stewards participate in the business process modeling process can provide many benefits for data governance, business metadata gathering, and data quality improvement
Data governance can support the protection and effective use of sensitive report data, such as customer and employee data An integral part of organizational data
As the discipline of enterprise architecture continues to evolve, the challenges of the practice of enterprise architecture remain. Many organizations struggle with accepting the need
Organizations can redefine the role of data governance while implementing a digital transformation to include data monetization Organizations have a tragic mismatch between their investments
Business Intelligence and analytics solutions often fail if they are not supported by adequate user involvement and adoption. Addressing the causes of user adoption issues
There are challenges that can be encountered in any organization when analyzing data for decision-making. Applying the optimal solution to each analytical challenge can improve
Effective business intelligence, analytics, AI/ML requires attention to legacy systems for improved data quality and data management Business Intelligence, analytics, cloud, ML/AI, digital, and business
Best practices for staffing any data warehouse / business intelligence /analytics initiative should be followed to ensure success and sustainability. Every major program or initiative
All consumers need to know their privacy rights to be able to exercise them effectively Privacy policies, cookie consent pop-ups, and “do not sell my
Every project, especially for complex initiatives in data warehousing / business intelligence / analytics, can fail because of poor project management practices. Following these bad
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