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Big Data: What's the BIG Deal, Anyway?
Transcript of Big Data: What's the BIG Deal, Anyway?
What's the BIG Deal,
Member Information & Database Manager
Association of Florida Colleges
Let's begin by defining
Why YOU should be using it.
What information are you currently collecting?
Membership Start Date
Membership Expiration Date
How Do I Get Started?
Get A Plan!
Stop Making Assumptions!
Create a back-up of your current data files
Identify, combine, and remove duplicate records
Correct erroneous information
Update statistical information
Identify typographical errors and correct
Create standard operating procedures for how information will be entered and collected.
Will you use FL or Florida
Be consistent in collecting statistical information such as male (m) and female (f)
Create rules on enrollment, renewal, and registration forms that require users to input the information you are collecting the way you want it collected.
Include a plan to do a monthly, quarterly, or yearly audit on your data.
Let your data speak to you.
It doesn't matter where you start,
Use Dashboards and Reports
to increase visibility of data
Have a Q & A session
Find Hidden Patterns
Garbage In = Garbage Out
From the Science Writers 2010 blog post, How do we reveal hidden patterns in data?:
"Columns of numbers are not very good ways to find patterns," said David Harris. It's simply too difficult to see relationships between data points when all you look at are the numbers themselves. Harris further explained that visualizing data can provide some unexpected benefits: (1) you can find errors in data sets and (2) you can uncover manipulated data.
Excerpt from: Data Visualization – More than a Pretty Picture, by Debbie King, CEO - DSK Solutions, Inc.
15 Jan, 2013 Business Intelligence, Data Visualization
Who does your association compete against for your members' (and prospects')
time and money?
This is the 'pie in the sky' step.
External Data Sources
Information not stored within your main database
So, what can I do with my association's data?
Data Mining/Discovery Example
A Midwest grocery chain used the data mining capacity of Oracle software to analyze local buying patterns. They discovered that when men bought diapers on Thursdays and Saturdays, they also tended to buy beer.
Further analysis showed that these shoppers typically did their weekly grocery shopping on Saturdays. On Thursdays, however, they only bought a few items. The retailer concluded that they purchased the beer to have it available for the upcoming weekend.
The grocery chain could use this newly discovered information in various ways to increase revenue. For example, they could move the beer display closer to the diaper display. And, they could make sure beer and diapers were sold at full price on Thursdays.
Could be information you purchased or received from an outside source
What kind(s) of external data could Associations benefit from receiving?