Big Data Dreams Start with Data Normalization

For many institutions with big data dreams, their bubbles often burst when they are told how unusable their data currently is.

Because in order to play with the latest and greatest analytic tools and technologies, institutions must first normalize their data, eliminate data redundancy, improve data integrity and organize their data into a base these tools and systems can actually use.

The takeaway? A first step for your institution might be to create a data committee, focused not solely on the shiny new tools you’re excited to use, but on the normalization required to make any of your data actually meaningful.

May you continue to fight the good enrollment growth fight at your institution today, and we’ll see you again tomorrow.

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Eric Olsen

Eric brings more than a decade of award-winning creative brand development, marketing analytics and higher education experience to Helix Education. Eric is a graduate of Bradley University and earned his MBA at Lewis University.