Click to learn more about author Tejasvi Addagada. Democratization is more of a cultural change, that any firm should be ready to embrace. It’s synonymous to any of us having to move between continents with different political cultures. Data democratization requires breaking down data silos across divisions and functions, thus making data available and accessible, as […]
Data Virtualization: An Agile Approach to Data Integration
Click to learn more about author Tejasvi Addagada. Data virtualization can facilitate integration of data in an agile or a change-driven style. Virtualization provides unified access to disparate data sources and provides data consumers an edge in data provisioning. The lack of platform governance has led to siloes in data platforms hosting data. Data virtualization is […]
Customer Data Protection: Deriving Value and Ownership
Click to learn more about author Tejasvi Addagada. By managing customer privacy, there is significant business value derived from the resulting customer confidence and relationship: Data Privacy Management enables Transparency & Trust in firm Customer empowerment by the Zero-Data Efficient data portability to other environments Standardized Customer Communication Channels These enablers above drive competitive advantage of […]
Shift in Core Principles of Data Management in Today’s Digital Economy
Click to learn more about author Tejasvi Addagada. Today’s data landscapes in enterprises are increasingly based on core principles of Data Discovery, Right Data Interpretation, Coverage, Availability and Inter-operability. Often the first step is knowing what data exists in our firms, while also interpreting it in the right way by managing the meaning. Business Intelligence often […]
Data Democratization and the Data Fabric
Click to learn more about author Tejasvi Addagada. When data is not properly integrated or is barely inter-operable, business users or processes will seldom have the right coverage of data. Availability of data often becomes a challenge which often leads to less impactful decisions and reduces the data advantage that the organization can embrace. Read further […]
The Data Quality Dimension “Coverage” is the Most Prominent for AI Outcomes
Click to learn more about author Tejasvi Addagada. The first Data Quality challenge is most often the acquisition of right data for Machine Learning Enterprise Use cases. Wrong Data – Even though the business objective is clear, data scientists may not be able to find the right data to use as inputs to the ML service/algorithm […]
Data Quality & Data Governance can Maximize Your AI Outcomes
Click to learn more about author Tejasvi Addagada. Clean Data is a crucial need to get an outcome from Machine Learning capabilities. Scale and diversity in data is also another important aspect. How accurate is the data to give a usable outcome – is a major question? Accuracy What is easy to access – are the […]
Governing Data Changes and How it Differs from IT Governance
Click to learn more about author Tejasvi Addagada. Organizations implement a change to create value and benefits for stakeholders or shareholders. Often, value creation is nothing but enjoying the benefits at an ideal resource cost while optimizing risk. A simple retail banking operation, for instance, cannot generate extended value from its assets, in-case it is not […]
Data Governance and the Maturity Assessment Model
Click to learn more about author Tejasvi Addagada. There is no “one model fits all” for maturity assessment. Maturity assessment is a powerful technique that can be leveraged by organizations to help assess themselves against external and internal benchmarks. One can compare Division to Division, Function to Function and Firm to Firm by leveraging a maturity […]
Design Thinking to Put a Governance Model that Doesn’t Fail
Click to learn more about author Tejasvi Addagada. Fully understand the problem – The generalized challenges that Chief Data Office (CDO) face today, are a good starting point to understand the deeper problem. If an existing Governance Model does not seem to work, it is better to start understanding the core beliefs and values in the […]