Organizations are changing their decision-making process from an expertise and intuition basis to data and information foundation. Doing so points to the need for effective data governance. A book by a Yale University econometrician, Ian Ayers, looks at a trend
Three steps can help any organization develop the right architecture for business intelligence, analytics, or a re-design of a data warehouse The best place to start is at the beginning. Does the effort involve building a solution that includes reporting,
Every organization, of every size and industry, needs an enterprise data architecture to become a more data-driven enterprise. In a digital economy, enterprises of every size and industry strive to maximize the value of data for improved business performance. Data
Every organization needs a variety of security strategies for all areas of enterprise data management, with responsibilities assigned to business and technology teams Security threats exist against every enterprise’s information assets, whether it is accessible through the Internet or buried
Data does not exist in a vacuum. Therefore, data governance should not be practiced alone. Remember to include the processes that affect and are affected by data for a robust data governance program Governance is defined by Merriam-Webster as “the
The virtual world is a reality. Data management professionals must embrace this next normal, while re-evaluating how they approach establishing and maintaining professional relationships. Virtual relationships are here to stay! Embracing this next normal, while re imagining how to establish
Determining “accuracy” is not always an easy task, and not all data lends itself to discovering a single value for data quality accuracy Several recent articles have brought to light how difficult it can be to determine and maintain the
Successful re-architecture of data warehousing / business intelligence / analytics environments pose business challenges in addition to information technology issues Many large corporations across a variety of industries face the reality of re-architecting data warehouse environments to accommodate business intelligence
Accuracy is not the only measurement that can or should determine quality for an organization’s data. Data can be accurate in one context and inaccurate in another, and both versions can have value. Many people think accuracy is the sole
