expert tips for better data prep - rapid insight...expert tips for better data prep alex ziko, data...
TRANSCRIPT
Expert Tips for Better Data Prep
Alex Ziko, Data Analyst
James Cousins, Sr. Statistical Analyst
January 29th, 2019
Today's PresentationData’s necessity and operational value is well-established. By harnessing data, you have the ability
to understand an institutions past, present, and future. Conversations involving data all depend on
one crucial, unavoidable process: data preparation.
During this webinar, Senior Statistical Analyst James Cousins will discuss some of the most common
data preparation projects. He will explore ways you can make your data tasks more reliable,
accurate, and faster. While these tips benefit all industries, you can expect real-use cases from:
• Healthcare
• Higher Education
• Fundraising
Itinerary• Who We Are
• The Impact of Data
• Expert Tips, in Context
• Software Demonstration
• Questions?
About Rapid Insight
Founded in 2002 and headquartered in Conway, NH
Predictive analytics and data preparation software company empowering professionals of all skill levels to turn raw data into actionable insights
Serving hundreds of customers worldwide, ranging from healthcare to higher education
The Veera platform enables users to easily build predictive models, perform advanced data analysis, and share insights
Code free (but code friendly)self-service analytics platform
Meet Your Presenters
Alexander ZikoData Analyst and Customer Success Manager
As a Data Analyst and Customer Success Manager, Alex works closely with customers to help themunderstand their data using the Veera platform. Alex holds a BS from Green Mountain College, and anMBA from Franklin Pierce University. When not in the office Alex is usually found on the coast of Maineor in the mountains of New Hampshire.
As a Senior Statistical Analyst, James works directly with organizations bringing data to bear indecision-making, building analytic capacity along the way. His work has involved hundreds oforganizations- from a single analyst to teams of more than ten. James holds a B.S. in Mathematics fromDickinson College, and is pursuing his M.S. in Data Analytics from Johnson and Wales University.
James CousinsSenior Statistical Analyst
Expert Tips for Better Data Prep
Alex Ziko, Data Analyst
James Cousins, Sr. Statistical Analyst
January 29th, 2019
Data Prep Projects, Generalized
•Ad Hoc Analysis
•Predictive Modeling
•Reporting/Dashboarding
The Impact of Data
Call to Action Project Category Impact?
Decision Support Ad Hoc AnalysisTimely, accurate backing for significant decisions
Proactive Planning Predictive ModelingResponsive, preemptive awareness of critical outcomes
Consensus Building Reporting/DashboardingA cultural emphasis on data and measurable improvements
The Aggregation of Marginal Gains
Significant ImprovementMarginal gains
Industry Examples
Ad Hoc AnalysisFundraising
Ad Hoc Analysis
"Can you get me a list of all our prospects who made
donations last year?"
Ad Hoc Analysis
Typical Situation:
“The Data Guru”
Requesting a dataset
Extracts of multiple formats
Redundancy in your tables
The expert tips:
Get to know your data
More direct access
Save your work
Documentation
ConnectIntegrate data in any format, from virtually any source
PrepareCreate step-by-step processes using easy, drag-and-drop visual workflows with no coding required
AnalyzeBuild and schedule jobs to run automatically, or run ad-hoc analyses
ShareWrite back to databases, create and disseminate reports, publish dashboards to visual analytics tools such as Tableau, or output datasets for predictive modeling
Ad Hoc Analysis
"Can you get me a list of all our prospects who lapsed last
year?"
Ad Hoc Analysis
Typical Situation:
“The Data Guru”
Requesting a dataset
Extracts of multiple formats
Redundancy in your tables
The expert tips:
Get to know your data
More direct access
Save your work
Documentation
Predictive ModelingHealthcare
Predictive Modeling
"We need to improve our patients' outcomes."
Predictive Modeling
"We need to improve our patients' outcomes."
"Let's work towards predicting patient readmission."
Predictive Modeling
Typical Situation:
Manually derived variables
Inconsistent cleaning practices
Tedious or absent statistical testing
The expert tips:
Automatically mine the data
Establish systematic cleaning
Streamline statistical testing
Fully TransparentAll methods and calculations performed are easily viewable
Automated Data MiningIdentify statistically significant data variables without manual effort
Easy to UseNew users can build expert models within two hours of training
No Programming NeededUse simple pick lists instead of programming or custom command languages
Automated Modeling ProcessBrings complex data analyses and predictive model building to users of any skill level
Reporting/DashboardingHigher Education
Reporting/Dashboarding
"Our academic advisors are overworked. We need a resource to help prioritize the outreach!"
Reporting/Dashboarding
Typical Situation:
Generations of visualizations
Shifting update timelines
Multi-step refreshes
Volume of reports
The expert tips:
Link charts and reports to data
Routines enforce anticipation
Send data directly to reports
Organization and synthesis
Inspire CuriosityDemocratize data by allowing users to seamlessly view and explore data
Power ExplorationAllow anyone, in any department, with any skill level, be inspired by data
One Stop for All InsightsA single hub allows you to streamline data and report publishing
Self Service ReportingBy supplying reports or datasets through Veera Bridge, have peace of mind that your users can now answer all questions dynamically
Takeaways• Minimize manual tasks as often as
possible
• Assume that you will have to do it again
• Remove opportunities for dropped handoffs
• When you hit a snag, reflect: "Is there another way to do this?"
Questions?
