Career Snapshot Master’s degree in computer science with Specialization in Software Engineering and Earned PGD in Management Information System. Accumulated 20+ years’ Information Technology, Data Governance, Data Management, and Compliance …
Predictive Analytics Vs. Prescriptive Analytics
Predictive Analytics Vs. Prescriptive Analytics What Is Predictive Analytics? Predictive Analytics is the sub-field of Supervised Learning where users attempt to model data elements and predict future outcomes through the …
Sentiment Analysis and Data/Text Mining
Automated Sentiment Analysis: Leveraging NLP for Social Media Insights Media monitoring and text analysis are automated methods for retrieving insights from large unstructured or semi-structured data, such as transaction data, …
Data Quality Program – Readiness Assessment / Risk Assessment
Importance of Readiness Assessments in Data Governance Findings from a readiness assessment will help determine where to start and how quickly to proceed. Findings can also provide the basis for …
Data Quality – Preventive and Corrective Actions
Data Quality Improvement: Preventive Actions How Does Metadata Improve Data-Quality The best way to create high quality data is to prevent poor Q.D from entering an organization. Preventive actions stop …
Data Quality – Tools
Data Quality Tools in Enterprise Planning Tools should be selected and tool architectures should be set in the.planning phase of the enterprise Data Quality program. Tools provide a.partial rule set …
Data Quality – Incident Tracking System
Data Quality Incident Tracking System Overview The incident tracking system will collect performance data relating to issue resolution, work assignments, volume of issues, frequency of occurrence, as well as the …
Data Quality – SLA – Service Level Agreements
What is Data Quality Service Level Agreement? A data quality Service Level Agreement (SLA) specifies an organization’s expectations for response and remediation for data quality issues in each system. Data …
Data Quality Reporting
How Data Quality Reporting Works? The work of assessing the quality of data and managing data issues will not benefit the organization unless the information is shared through reporting so …
Data Quality Rules
Data Quality Rules – Foundation of Operational Management Data Quality Rules provide the foundation for operational management of Data Quality. Rules can be integrated into application services or Data services …