SALUM KUDRA MSHANA

-Early and Accuracy Data entry to CTC2DATABASE -Data analysis and reporting: Analyzing data to identify patterns, trends, or insights that can inform decision-making.This may involve using statistical analysis tools, data visualization techniques, or machine learning algorithms -Data collection: Collecting and gathering data from various sources, such as internal databases, external sources, or through surveys and questionnaires -Data triangulation to make sure data that are in CTC2DATABASE match to the data that are in DHIS2 -Report Generation on weekly, monthly and Quarterly basis to make data simple and understandable to Management for decision -Data cleaning and validation: Ensuring that the collected data is accurate, complete, and free from errors or inconsistencies. This may involve removing duplicates, correcting errors, or validating data against predefined rules or standards. -Data Quality Assessment (DQA) Partnered with subject matter experts in continuous improvement process, upgraded data quality and recommended innovative information management strategies. -Collaboration and communication: Collaborating with other teams or stakeholders to understand their data needs and requirements, as well as communicating insights or findings from data analysis. -Data documentation: Documenting data sources, data definitions, and data transformation processes to ensure transparency and reproducibility of data analysis. -Data storage and organization: Developing and maintaining a system for storing and organizing data in a structured manner. This may involve creating databases, data warehouses, or data lakes