Data Preparation and Visualization for Monitoring NCDs Mortality
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The document discusses data preparation and visualization techniques for assessing premature mortality rates from noncommunicable diseases (NCDs) in the Americas, highlighting the importance of monitoring these trends. It outlines the use of Alteryx for efficient data integration and visualization, improving transparency and control in the data preparation process. The presentation emphasizes the significant reduction in data preparation time and the enhanced capability of analyzing mortality trends across countries.
Data Preparation and Visualization for Monitoring NCDs Mortality
- 1. Data Preparation and Visualization for assessing level and trends of premature mortality from noncommunicable diseases (NCD) Alteryx Webinar Panel: Preparing data for your Conference. October 13th, 2015 Ramon Martinez Technical Adviser in Health Metrics martiner@paho.org @HlthAnalysis
- 2. Contents • Introducing data prep for assessing level and trends of premature mortality from NCDs in countries of the Americas • Data analytics and visualization platform • Describe how data is prepared and integrated • Visualization tools for assessing trends of premature mortality from NCDs 1
- 3. Noncommunicable diseases (NCD) (cardiovascular disease, cancer, diabetes, and chronic respiratory diseases) are leading causes of deaths and disabilities worldwide. NCD accounts for 63% of global deaths (37 million annually), with 80% occurring in low and middle income countries. Almost a third of deaths from NCD in poor countries occurred prematurely in population under 60 years old. Monitoring the progress that countries are making with reducing the burden of NCD is a key function of the Public Health Surveillance for NCDs prevention and control. 2 Introduction
- 4. Assessing and monitoring the level and trends of premature mortality from NCDs requires several large and heterogeneous data sources: 1. Registered death data (Vital Statistics) from death certificates reported by national authorities (official data) from 48 countries of the Americas 2. Population estimates by country, year, sex and age groups 3. Other reference data (e.g. world standard population, catalogue of causes of deaths, country, sex, and age groups). Data preparation and integration processes using Alteryx 3 Challenge
- 5. Data Analytics & Visualization Platform: high level system architecture 4 Source systems / Data sources Data preparation and integration Data storage & managements Data discovery & visual analytics Web-based apps / services for data dissemination Data cleansing, transformation, processing, preparation and integration processes (workflows & scheduling) DBMS: Data repository with data (internal and external) ready for analysis and visualizations Visual discovery and analytic tools and methods. Data computation. Data visualization sharing and collaboration Mortality Health Survey Diagram adapted from BI/DW technical system architecture Hospital records PH surveillance Population GBD Visualizations Open Data Portal Research Collaboration site MoH Web site Alteryx MS SQL Server Tableau
- 6. Data Preparation and Integration Data preparation and integration processes using Alteryx 5
- 7. Integration of Mortality Data 6
- 8. Integration of Population Data 7
- 9. Integration of Mortality Measures Title of the Presentation8
- 10. Data Modeling in the Data Warehouse 1. Data is uploaded to the Data Warehouse 2. Dimensional models (star-schema model) are prepared 3. Data ready and accessible for analysis and visualization 9
- 11. Data Visualization Visualization tool for assessing level and trends of premature mortality from noncommunicable diseases. Title of the Presentation10
- 12. Assessing Level and Trends of Premature Mortality from NCDs Title of the Presentation11 Interactive visualization tool for assessing the trends of premature mortality from NCDs by country. It helps to answer the question: A selected country
- 13. Conclusions • In the past, data were prepared using Excel and coding SQL sentences in MS Management Studio. • A lot of time expended with this approach, less control and transparency • Data preparation and integration using Alteryx allows us to improve: o The efficiency of processes. 60% reduction of data prep time o Transparency and gain more control over the data prep processes o Reutilization and automation of processes o Documentation of data preparation processes 12
- 14. Keep the conversation after the panel Ask your questions on Twitter using #ZenDataPrep Ramon Martinez Technical Adviser in Health Metrics martiner@paho.org @HlthAnalysis