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Big Data: What's the BIG Deal, Anyway?

Helping association executives embrace business intelligence methodologies
by

Adrienne Bryant

on 31 July 2015

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Transcript of Big Data: What's the BIG Deal, Anyway?

Big Data:
What's the BIG Deal,
Anyway?

Adrienne Bryant
Member Information & Database Manager
Association of Florida Colleges

Let's begin by defining
Business Intelligence,
Data Analytics,
and
Why YOU should be using it.
Definition
Why?
What information are you currently collecting?
Location
Gender
Social Media
Membership Dues
Membership Start Date
Membership Expiration Date
Anniversary Date
Ethnicity
How Do I Get Started?
Data Cleansing
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,
JUST 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.

http://sciencewriters2010.blogspot.com/2010/11/how-do-we-reveal-hidden-patterns-in.html
Excerpt from: Data Visualization – More than a Pretty Picture, by Debbie King, CEO - DSK Solutions, Inc.
15 Jan, 2013 Business Intelligence, Data Visualization
Question?
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?
Thank You
Follow

the Blog:
http://www.blueprint2success.org
Adrienne Bryant
: @adriennebryant
: http://www.linkedin.com/in/abryant715/
: @bprint2success
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?
Full transcript