Data governance includes securing your data, organizing it, defining the access permissions, and determining the way your organization uses data. Data governance is vital for business intelligence and data analytics
Our professionals help organizations that rely heavily on critical insights into the data to help optimize operations and drive decision making. Data governance practices in an organization will depend on the following crucial sections:

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• Data Quality - The data quality plays a major role in helping the organization find critical insights and make business intelligence decisions. Better data quality would lead to lower data management costs.

• Data Source Management - Data source management is a large part in ensuring data quality as by keeping a track of all the sources we eliminate redundancy in data or control the necessary duplicate data.

• Metadata Management - The metadata needs to be standardized and managed as it provides each data source a description of data which helps users to understand the context of data.

Some of the challenges faced in data governance are:

• Data Inconsistencies

• Big Data

• Security and compliance is at risk

• Incorrect insights due to corrupt data