Industry Data: How to Identify (or confirm) Your Target Industry July 29, 2013 Part 2 of 3-Part EARN Maryland Webinar Series Presented by Lindsey Woolsey

Miss the first EARN Maryland webinar? Webinar 1: July 10, 2013 Industry Partnerships 101: What, Why, How and Impact You can view it at Dont miss the third EARN Maryland webinar: Webinar 3: August 1, 2013 Mobilizing your Partnership: Preparing for the Launch

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Todays Agenda Quick Recap on Industry Partnerships – What, Why, How – Training Components Data – a run-through – Why more data? (aka: havent we already done this?) – What kinds of data? – Limitations of data – where it stops, where you take it – Why it matters for Industry Partnerships and accurate training solutions

Designs by

Todays Industry Partnerships: Are employer driven Are regional Are convened by a credible third party Act as a coordinating body across multiple education, workforce development, economic development and other programs Create highly customized responses to a target industrys needs, and therefore highly accurate responses They are about more than workforce training Treat employers as partners, not just customers Are NOT a grant program, a short term training project, a passing fad; they are a long term partnership

THEY ARE DIFFERENT FROM: Your local workforce investment board Your regional or city economic development board Your Chamber of Commerce An industry association Your Community College Advisory Boards

Workforce Training Inevitably is a Central Focus Why? Because its always on the minds of business, in every industry How is Industry Partnership Training different from customized job training? – Not a one-to-one relationship with an employer; its a relationship with the regional industry – Theres a give-and-take; you partner with employers What level of training are we talking about? – All levels: it depends on the industrys needs – But IPs are a highly effective vehicle for low-income/ low-skilled worker advancement

WHATS THE LIFE CYCLE OF AN INDUSTRY PARTNERSHIP? They can last for years They change constantly Each one looks different But there are common elements

How many IPs should one region have? Depends on your regions labor market (how many sectors really drive your local economy?) Coordinate across geo- political lines Actual boundaries of region may vary depending on target industry – be flexible The State of Maryland should have multiple Healthcare IPs, Manufacturing IPs, Logistics IPs, Construction IPs, etc. But any one jurisdiction (workforce, economic development, a county, city, etc) should only have one Healthcare partnership, and one Manufacturing partnership, etc!

Why are we talking about regions when IPs are about industries? Ideally, every IP is structured around its natural labor market region (not geo-political or jurisdictional boundaries) – The Labor Market doesnt know geo-political boundaries, and neither do employers. What is a labor market region? Its the footprint of an industry (concentrations of like companies, commuter sheds, shared infrastructure). Every industry will have a slightly different geographic labor market region.

Any questions at this point?

Getting into the Data Your data dive is all about choosing a target industry for an IP or confirming and finding out more about a target industry already selected What stage are you at? – Already working with an industry? At what level? Training program? Multiple training programs? At what regional scope? One Workforce area, a city, a county, an economic development district? A true labor market region? – Already picked an industry but havent started working with them yet? – Clean slate: nothing set in stone, still exploring?

What do regions have to do with data? You need a starting place for your data dive – Not too big, not too small As you narrow your focus on certain industries, the actual map or definition for that industrys labor market region will get clearer Start with a defined area, but be flexible around the margins as you establish your Industry Partnership

Guiding Principles of Data Know what it will give you... A baseline of real information A way to prioritize – Avoid the Picking winners and losers trap – You have limited collective resources. Use them well. A starting place for a conversation Know the limitations... No data set is perfect There is usually a lag There is always missing data There is also always too much data! – Beware: Analysis Paralysis There is no substitute for actual conversations with employers

Which data points matter most? 1.Current Employment 2.Short term change in Jobs (2 years) 3.Long term change in jobs (10 years) 4.Current and past Location Quotients 5.Current wages 6.# Establishments 7.Average # Jobs per Establishment 8.Job Growth Projections 9.Occupational data 10.Your on-the-ground knowledge What if you dont have all these data points? Work with what you have.

Your Job: Get the data points to interact (and dont do this alone). Try This: 1.Get everyone in the same room looking at the same data: – Workforce Development – Economic Development – Education – Other Stakeholders (community based organizations, human service organizations, etc) 2.Discuss! – Discuss each data point. – Assess which feelsreal based on what you know already. – Share on-the-ground knowledge that the data does not reflect. – Come to some agreement on which industry sectors really matter (jobs, quality)

Discussion Questions 1.Current Employment: Which sectors are your biggest employers? Moderate employment? Smallest employment? 2.Short term change in Jobs: Any upticks? Any rapid declines? Which show strongest combination of absolute and percentage change? 3.Long term change in Jobs: Which sectors have added the most jobs in the past decade? Which have highest long term growth rates? Which reflect growth over long and short term? 4.Current and past location quotients: Which sectors have an LQ above 1.0? Which have the highest LQs? Is there an industry sector that shows an increase in LQ over time? If so, its growing faster in your region than the national average. 5.Current wages: Which sectors show the highest and lowest average wages? Which sectors have the strongest combination of higher than average wages and job growth?

6.# Current Establishments: Which sectors show the largest # of actual firms/companies? 7.Average # jobs per Establishment: Which have the highest # jobs per firm? Which have the lowest? Which have the highest # of establishments but low # jobs? Which have the lowest # of establishments but high # of jobs? What does this say about the structure of the sector? 8.Job Growth Projections: Which sectors show growth? Which show strongest combined growth in absolute #s and percentages? 9.Occupational Data: What are the top occupations in terms of jobs and family-sustaining wages in your potential target sectors? Are there occupations that cross multiple sub-sectors of an industry? What does the data show in terms of projected new growth and replacement needs? What are the skills requirements? 10.Your On-the-ground Knowledge: What do all the combined above inquiries yield? What do we know anecdotally about certain sectors? Whats the culture of the industry? Readiness of industry to collaborate? Willingness of industry to invest in solutions? Other timing considerations? What are our individual and collective relationships?

Any quick questions?

A Good Data Conversation – a simulation

What do we get out of this? Studying the data alone gets you: A bunch of numbers One interpretation of the numbers Organizing a conversation about the data gets you: Deeper understanding of your industries Anecdotal information from different perspectives – Workforce development – Economic development – Education Regional Stakeholder Buy-in and Agreement about Priorities A next step for moving forward together

What are the Next Steps? Creating an Industry Partnership The data is just the beginning Real information about industry needs comes from employers Use your IP to understand training needs But dont limit your IP to just workforce issues Get some Training out the Door Accurate training solutions come from discussing skills needs and opportunities with a group of employers from the same industry in your region (an IP) Good IPs allow you to get early wins + long term training/ education strategies

What you can expect as part of EARN Maryland: A data toolkit – Building on the Maryland Workforce Dashboard and inclusive of as many essential data points as possible – A DIY Workshop Guide for holding a data conversation with your regional partners By when? – Mid-September Why use it? – Supplement what you already know – Find out what you dont know – Use it as an organizing tool across stakeholders – Use it as a buy-in tool to get more support from stakeholders for industry-focused efforts

Next Webinar: Webinar #3: Thursday, August 1 st 1-2:00 pm Mobilizing your Partnership – Preparing for the Launch (or Expansion)

More Questions?