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Colorado Homeless Study

The Colorado Department of Public Safety recently released a study conducted by Eris Enterprise to look at the impact of homeless populations in seven jails across the State of Colorado.  This year long study was a first of its kind and involved researchers going into the jails to conduct surveys with the inmates directly. The homelessness data collected was analyzed and results published to the State of Colorado public web site.

“This study helps us better understand what is happening with homeless in Colorado’s jails. What we’ve learned is that homeless individuals have been coming to Colorado since before legalization of marijuana, driven by a combination of push and pull factors. They are fleeing problems and coming here for family, jobs, friends, and, in some cases, for legal marijuana. The findings also underscore we already know: that Colorado’s jails already have far too many people in them with mental health and substance abuse issues. That’s why efforts to address mental health and substance abuse issues remain a top focus in our state and nationwide.”

-Stan Hilkey, Executive Director of the Department of Public Safety

Report highlights include

 

  • 62% of the sample moved to Colorado from other states; of those who came from other states, 59% moved to Colorado before legalization in 2012.
  • The most common states of origin for homeless inmates were California, Texas, Arizona, Louisiana, and New Mexico.
  • Among the 77 homeless inmates who moved to Colorado after marijuana was legalized in 2012, top reasons cited for moving to Colorado were:
    1. Getting away from a problem (44.2%)
    2. Family (38.9%)
    3. Marijuana (legal and medical) (35.1%)
    4. Employment (24.1%)
  • The most common reasons non-native homeless inmates said they stay in Colorado were:
    1. Family (31.1%)
    2. Outdoor activities (28.3%)
    3. Friends (26.6%)
    4. Employment (24.1%)
      Marijuana is the sixth most common reason, with 18.5% reporting that as a reason they stay in Colorado.
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Build Analytics In A Day?

Can you really build analytics in a day? With a little creativity, know-how, and a willingness to let your solution evolve over time, the answer is yes.

Many data analytics projects take months, quarters, and some years to start to bring value to the business. In that time, the needs of the business have moved on and all the invested work diminishes in value. That just builds frustration from the business and the IT team. What both need is the ability to move quickly, learn what the data can tell you, allow learning from “failure”, and then run at it again.

A recent project of ours had a client team with very fuzzy requirements of what they wanted. There were a lot of words like “kinda thinking this” and “be nice if I could measure that” and all sort of other fluff words. Words that should scare most delivery teams. Not ours though; we know how to work with ambiguity. To us, that just means we all need to take a journey to learn the story the data has to tell us.

We were fortunate that the client had dug up some old code from reports that pointed to the transaction data they wanted. Right away we saw an issue. One set of data was captured at the day level and the other was at the month. Problem? Not really, when we investigated that data and the measures they could provide, we decided that they were really describing two separate facts.

“But I need a report that gives me the sales transaction from fact A and cost data from fact B”

Problem? Not at all. “What is the common ‘thing’ you want them to be measured by?” We ask. The answer is our widgets. Easy. We build a common dimension (Kimballism calls that the conformed dimension, but clients don’t care who Kimball is so…) for widgets that takes the best of both system’s description of a widget.

From there we start building some rudimentary dimensions to describe the different types of transactions. Nothing fancy, but, fancier than where the client started. Create some date dimensions to describe the various events such as transaction, invoice, order pulled, shipped, and other sundry dates. With that, we now have the foundation for a set of reports that can look at how they are performing today, how they performed last week, month, quarter, and year. We can now calculate how they are performing year to date and year over year to date. The data even allows us to project what seasonal widgets are likely to be selling in the coming weeks to allow the client’s sales team a heads up on what they should be focusing on in front of them.

Could we make all this better? Absolutely we could. But, as analytics consultants, our job is to get data in the hands of our customers early. A customer with data is empowered with the facts they need to make immediate changes to their business. They now see value in their data and have a strong business case to continue to build out their analytics into a more robust tool that becomes the fabric of their success.

It all starts with a focus on get data into the hands of the client quick, see what story that data is telling you, and then start acting on data to drive business. It can be achieved.

Get started with Eris Enterprises today

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