Achieve data governance at the service of business intelligence

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Discover the actions carried out by companies that achieve data governance in the service of business intelligence.
Experience shows that effective data governance and management results in reliable, accurate, consistent and complete data. With greater capacity for information analysis, businesses achieve sustainable business intelligence over time. But to reach this level of maturity, a framework of policies, people and processes is required. Let's see what it is about.

It is true that more and more companies have data governance policies, but statistics show that the vast majority of them are still at an initial and immature stage that does not really guarantee the necessary quality. In addition, the data recorded in the survey indicate that 63% of companies are experiencing difficulties when it comes to forging a real awareness and adoption of the new data culture.





Although 75% of senior managers say that data quality is their main loan database , 39% of them say they do not measure data quality.

Source: The LeBow College of Business' Center



The context offers an opportunity to those who take control
It is a fact that organizations that are more mature in their data governance obtain greater value from their data and overcome obstacles related to their organizational culture and total business costs (the aforementioned report indicates that 83% of companies with mature data governance programs observe an improvement in data quality). But what does this maturity imply and how is it achieved?


Through new data programs, companies are seeking to view and manage their flow of information from different angles in order to be able to make better decisions and achieve operational improvement. Likewise, of course, current and appropriate data governance also ensures greater data privacy and, consequently, customer confidence and satisfaction.