Download
1 / 12
120 likes | 134 Views
Learn about different data uses, categories of purposes, and how to effectively tell a story with data. Explore various visualizations, key metrics, and statistics to gain a better understanding of data analysis.
E N D
Using Data to Help Tell Your Story July 2019 Paige Teegarden General Manager, empowOR by CSST Software
Data Uses and Purposes • Categories of Purposes… • Planning • Operational / Program and Services Management • Strategic and CQI • Outcome/Evaluative • Community / Partner / Communication There are different kinds of data and ways to use data with different audiences “who are you telling the story to and what do you want them to ‘get’?”
Telling the Story…What is the story you are trying to tell and to whomGet Specific About the Question(s) or Issues you want to Explore
Measures, Metrics and Indicators • Measure--specific, known and understood data point that tells you how much of something; • we know what it is measuring –validity and reliability come into play here • Metric--calculated from data points or measures; • examples include • Service over time; income over time • Geography + demo • Indicator—how well; measures and/or metrics relative to something else…gives data context/meaning..i.e. achieving strategic objectives • Example … Gas gauge (in the red…means going to stop moving)
Types of Visualizations • Graphs • Bar Graph, • Pie Chart • Line Graph, • Scatter Plot, • Histogram, • Spaghetti • Heat Maps • Gauges /Thermostats • Other examples: Word maps, Thematic, Mind maps
Buckets of Key Mission Indicator (KMI) Balanced Score Cards: Adapted Score Card for Key Mission Metrics and Indicators
Example Key Mission Metrics Mission • # / % households served who have had an increase in income to over 250% of poverty • #/% HH who have an assessment showing at least ‘safe’ on 5 core dimensions at exit from programs • #/% HH who went from crisis or vulnerable in 1 or more dimensions to ‘safe’ or better on 1 or more dimensions Management and Innovation • # new enrollments in a month by program (compare month last year) • # people actively enrolled and getting at least one service last month • # people and HH achieving program outcomes (listed) • # Services (listed) provided last month • Risk Assessment schedule and progress • Financial / Funding /Stakeholders • #/% grants in compliance • List upcoming reports due • Income YtD and Expenses YtD • % income (YtD and historic) from federal grant, state grant, local grant, private foundation, donations, discretionary • #/$ new grants and/or grantors • Asset/Liability • Internal Capacity and Culture • #/%staff rating knowledge of other programs of over 4 on a 5 point scale • #/% of cross referrals that were followed up on within 2 days • # of staff client coordination meetings in timeframe for # of HH impacted
When to use Core Visualizations and Statistics to Understand • Bar graph—categorical • Pie Chart –Categorical (out of a whole, small number categories) • Histograms—frequency of X against a continuous variable • Line Graph—a quantitative data by a continuous variable over time (trend) Couple of Statistics to Understand • Frequency • Measures of Central Tendency • Max / Min • Count versus Percent
