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Wednesday, April 5, 2017
10:45 AM - 11:30 AM
Level: | Business/Strategic
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The promise of data science and analytics often is not realized in the real world. This is often due to a poor understanding of an organization's current level of data sophistication combined with limited budget and technical capacity. This presentation will go through some practical and immediately actionable strategies on how to invest in building out your reporting and analytics tools. - Accurately taking stock of your current data sophistication and how that informs your data strategy
- How to be data driven while your data quality has not yet improved
- What to focus on to improve data quality
- Some practical strategies for building cheap reporting and analytics stacks that will still give you a lot of power
- How to prioritize what aspects of your data pipeline to improve when you can't do everything
- Practical data strategy approaches
After many years of experience in diverse areas of IT and management consulting, Andrew Patricio finally decided to go out on his own. His most recent full time gig was as the Deputy Chief for Data Systems at DC Public Schools for nearly six years.
While there, Andrew really dove into the concepts behind data effectiveness. DCPS is a very data driven organization, and as the head of the data systems teams, he had to contend with poor data quality while at the same time making sure their analytics were fed.
A public school district is always pressed for funds, and it was the rock of high demand for data and the hard place of capacity and budget challenges that gave rise to the pragmatic, realistic, and high ROI approach that is data effectiveness.
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