Let’s avoid spending our time and resources cleaning data by ensuring quality data from their sources through the reporting processes. How is that accomplished? This seminar compiles best practices from across years and multiple agencies to provide insights into what works. After this seminar, you will approach all future data management tasks with a focus and purpose that will result in high levels of data quality as information is valid for the use to which it is applied and decision makers have confidence in and rely upon their data.
#ESPTwiminars: Data Quality–Follow & respond to tweets with lessons learned/insights #ESPTwiminar3.1 https://t.co/RsIwgoCvMm. #dataquality
— ESP Solutions Group (@espsg) November 21, 2016
#ESPTwiminar3.2: Key to data quality is get data right from the start. Keeping them right is excellent data governance. #dataquality
— ESP Solutions Group (@espsg) November 21, 2016
#ESPTwiminar3.3: #Dataquality is more than #accuracy & #reliability. Quality data yield info that’s valid for use and relied upon.
— ESP Solutions Group (@espsg) November 21, 2016
#ESPTwiminar3.4: 4 great truths about data quality. 1st is data providers must know precisely what’s expected. #dataquality
— ESP Solutions Group (@espsg) November 23, 2016
#ESPTwiminar3.5: 4 great truths about data quality. 2nd is providers should use the data themselves. #dataquality
— ESP Solutions Group (@espsg) November 23, 2016
#ESPTwiminar3.6: 4 great truths about data quality. 3rd is everyone, everywhere must check the data. #dataquality
— ESP Solutions Group (@espsg) November 23, 2016
#ESPTwiminar3.7: 4 great truths about data quality. 4th is the data are readily available and dependably used. #dataquality
— ESP Solutions Group (@espsg) November 23, 2016
#ESPTwiminar3.8 infrastructure components are required to support data quality. #dataquality
— ESP Solutions Group (@espsg) November 23, 2016
#ESPTwiminar3.9: 6 observations about data quality from years of working with info system & data managers across the nation. #dataquality
— ESP Solutions Group (@espsg) November 28, 2016
#ESPTwiminar3.10: Accuracy-Tech staff focuses on accuracy, formats, data models-quality in, quality out means you get what they got.
— ESP Solutions Group (@espsg) November 28, 2016
#ESPTwiminar3.11:Validity-Program staff say data must be consistent w/ & describe their actual program, a real measure of what they're doing
— ESP Solutions Group (@espsg) November 28, 2016
#ESPTwiminar3.12: Investment-The user of the data is the best reporter of the data. A consistent observation from many perspectives. #data
— ESP Solutions Group (@espsg) November 28, 2016
#ESPTwiminar3.13: Certification-Someone should be responsible for certifying the quality of official data & statistics of an organization.
— ESP Solutions Group (@espsg) November 28, 2016
#ESPTwiminar3.14: Publication-Public reporting is an important action in the evolution of an information system toward quality.
— ESP Solutions Group (@espsg) November 28, 2016
#ESPTwiminar3.15: Trust-Decision makers refer to the trust & confidence they must have in both the data & the individuals providing the data
— ESP Solutions Group (@espsg) November 28, 2016
#ESPTwiminar3.16:The Hierarchy of Data Quality provides a framework for rating your own data quality. https://t.co/Y5VN3d5VPk #dataquality
— ESP Solutions Group (@espsg) November 28, 2016
#ESPTwiminar3.17: 6 steps for ensuring #dataquality. This checklist incorporates the lessons learned across years & many agencies.
— ESP Solutions Group (@espsg) November 28, 2016
#ESPTwiminar3.18: 1.Are requirements known? Mandates, standards, policies, people skills must be known up front to guide all other steps.
— ESP Solutions Group (@espsg) November 28, 2016
#ESPTwiminar3.19: 2.Is process well designed? Best practices for automation, interoperability combine w/ including all parties in processes
— ESP Solutions Group (@espsg) November 28, 2016
#ESPTwiminar3.20: 3.Is process well documented? Metadata dictionary, processes, training resources, calendar. Web access facilitates.
— ESP Solutions Group (@espsg) November 28, 2016
#ESPTwiminar3.21: 4.Is process well implemented? Checklists, audits, feedback reports. Trust but verify.
— ESP Solutions Group (@espsg) November 28, 2016
#ESPTwiminar3.22: 5. Are data verified and compared? Business rules should check data for consistency, change, compliance, completeness.
— ESP Solutions Group (@espsg) November 28, 2016
#ESPTwiminar3.23: 6.Are data appropriately analyzed? FERPA. Technical reports document processes, analyses. Fair presentation within context
— ESP Solutions Group (@espsg) November 28, 2016
#ESPTwiminar3.24: Quality data produce data-driven decisions made with confidence. Proven processes ensure quality. #dataquality
— ESP Solutions Group (@espsg) November 28, 2016
#ESPTwiminar3.25: Click here get to access the complete white paper on data quality https://t.co/uuydFb6VwY. #dataquality
— ESP Solutions Group (@espsg) November 28, 2016
#ESPTwiminar3.26:Go to https://t.co/u9UF3cz9AR to print your completion badge https://t.co/wmjOkGfANQ. Thanks for participating #dataquality
— ESP Solutions Group (@espsg) November 28, 2016