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04/18/2018

Data Ownership: Leadership, Challenges, and Data Governance

An Outlook on Data Ownership today Data Ownership is often not a full-time job for most data owners while it can be a full-time profession for Data Stewards. While most banks have traversed in maturity across their Data Governance function, relatively only some Banks, started enabling themselves with required people capabilities. These include having to identify people who can take on the responsibilities of a data owner. Another approach can be to transition existing SMEs who are knowledge
10/01/2017

The need for organizations to establish a data risk strategy

It is always a known but often forgotten fact that risk and value are two sides of the same coin. In most organizations, technology risk management can be in its nascent state of maturity while data risk management within the same function can stand a notch higher. The reasons for this are many. There are multiple drivers which are in-fact driving organizations to establish data risk functions: Compliance with internal policies for service excellence. Regulatory demands to have accurate and
10/11/2016

Applying COBIT principles to call your Data Governance, a success

Cobit is based on five key principles for Management and Governance of Data and Information and related Infrastructure. These 5 principles have been instantiated for effective and efficient Data Management and Governance. Principle-1: Meeting Stakeholder Needs -Organizations create value, by realizing benefits, optimizing value and resource utilization as well. The value is indicative of stakeholder’s needs. This can be achieved by an Enterprise goals cascade to Data Management and Governance
08/06/2016

What does your Metadata say about your Organization?

Metadata in actual terms is defined as “a set of data that describes and gives information about other data.” Niso defines it as “structured information that describes, explains, locates, or otherwise makes it easier to retrieve, use, or manage an information resource”. Is that how the Business stakeholders understand it? Every organization out there in the financial industry has started embracing Metadata Management as a dimension, but where they stand in maturity differs based on their
07/31/2016

Conquering Regulatory tide while realizing successful data Management benefits

Today, most organizations are overcoming or have adequately planned to pass the regulatory high tide, with cautious optimism. As I converse with colleagues in the Financial Industry, their perception towards having to invest in Data Management & Governance capabilities now, is not negative but not assertively positive. It is no curiosity that some organizations have embraced Data Governance well before regulators started enforcing concept of "Data as an asset". Such firms still retain their
06/05/2016

It is time to Standardize and optimize your Data Quality Management service

Let us widely explore the benefits of standardizing Data Quality management while mapping the activities to a standard framework for efficiency and scalability. But, at the same time, the industry standards including DAMA, EDM provide us with best practices & guidelines to start with. Further, the data management framework will be traced to the COBIT frameworks which provide controls that can be applied to data management & Governance. Cross mapping the in-house data management & governance

Dattamza Blog

Featured Post

Data Ownership: Leadership, Challenges, and Data Governance

The need for organizations to establish a data risk strategy

Applying COBIT principles to call your Data Governance, a success

What does your Metadata say about your Organization?

Conquering Regulatory tide while realizing successful data Management benefits

It is time to Standardize and optimize your Data Quality Management service