The title of this standard is \”Principles for effective risk data aggregation and risk reporting\”.  The main objective of the standard is to strengthen and to enhance the risk management and

Globally, privacy of sensitive customer data is of utmost importance. As there is a larger possibility of access to the huge tons of sensitive customer data, financial services providing enterprises take preventive measures to ensure that there is no breach before implementing

Data analytics is all about the science of analyzing raw data to make valuable insights. Many of the processes and technicalities are automated into mechanical algorithms that work on raw data for our understanding. Globally, data analytics

Globally enterprises are more data-driven and focused on unlocking the power of data to make right decisions. Impactful decisions are made when the data is accurate. Quality of the data helps to timely react to the new market opportunities and it immensely contributes to

Data is the core of digital transformation and Data Governance is the need of the hour in the most happening Digital Universe today. Data Governance helps unleash the power of data by processing unstructured, non-uniform and duplicate data to deliver business insights.

Data is the most happening asset that impacts the business operations in any enterprise. Today data is regarded as one of the critical assets and there are a plethora of strategies available to extract the value from these assets to gain a competitive advantage. Insights that are derived from the data are used to solve complex business problems.

Data Governance is vital for many enterprise information capabilities such as master data management, reference data management, data quality, data insights, and more. It requires collaborating within a complex and robust combination of factors such as data stewardship, policy definition & management, and decision rights. With a plethora of factors that are involved in running a data governance program, it is necessary to be able to measure the business value of data governance.

Data Quality is not a one-time process, in-fact, it is a dedicated and continuous process that includes considering a plethora of aspects that are involved in the collection process of data. Sometimes decisions have to be made fast and the existence of the data should be of high-quality where the executives across different hierarchies can utilize it to make decisions smoothly.

Data Governance helps companies to define processes and policies for managing data. An ideal enterprise should follow a robust approach regarding the management of their data. Data Governance enables to boost data quality, data security and also to cut down the costs related to data management. Globally companies deal with increasingly diverse data at both higher volumes and speeds.