Peter Wilbur

The Growth of Voice AI in Higher Education

The Growth of Voice AI in Higher Education

The penetration of artificial intelligence (AI) into our daily lives over the last several years has been rather incredible. Siri, Alexa, Cortana, Waze, Google assistant, music recommendations – the list goes on. The ability to talk to devices – and have them respond...

Enterprise Reporting in Higher Education: Then vs. Now

Enterprise Reporting in Higher Education: Then vs. Now

Universities are some of the most complex enterprise organizations. It is no surprise that they have always been interested in using technology to improve knowledge and better control operations. The challenge is that large and complex organizations can take time to...

IPEDS Data Entry: How to Reduce Basic Data Errors

IPEDS Data Entry: How to Reduce Basic Data Errors

Question: How many times have you, when reviewing IPEDS data, found basic data entry errors? Better question: How many times have you missed such errors prior to submission? The issues around data entry errors in IPEDS surveys are very real and addressing them isn’t...

IPEDS Surveys Reporting: ‘Tis the Season (Part 2)

IPEDS Surveys Reporting: ‘Tis the Season (Part 2)

“Duck Season! Rabbit Season! IPEDS Season!” While duck seasons and rabbit seasons come and go, it always seems to be IPEDS season. So, we’re here to continue our examination of the IPEDS survey process. In part 1 we looked at the various challenges encountered in each...

Overcoming Data Integration Issues

Overcoming Data Integration Issues

Data. It’s a simple word. Yet collecting it, analyzing it, and understanding it isn’t always so simple. For institutions of higher education, this is usually the result of two circumstances: 1) Data from one source does not always match data from an approved source,...

Data Mart: The Data Warehouse’s Little Brother

Data Mart: The Data Warehouse’s Little Brother

Your institution operates on data. Lots and lots of data. In order to run your university or college effectively, you need to make sense of that data. This means that all of that information must be stored, organized, and made available for reporting. Often times that...

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