Let's meet in the Middle!

As I continue my journey into the world of Middle Market Private Equity it struck me that the skills to be successful are a blend of Corporate Executive skills and those of a Startup Founder. By blending the two worlds the Private Equity Executive is set up to have a tool kit to achieve the desired growth.

Let’s start with Corporate Executive roles. In this type of position you are regularly representing the company outside in the industry. This could be meeting with customers, ecosystem partners or suppliers. When you set growth strategies you typically have an impact on the industry you operate within. You may run a P&L and focus on key metrics like Revenue growth, Gross Margin and Operating Income. The corporate functions cover the balance sheet side of things so there is no worry about working capital or cash flow. Many times to get a decision made it means collaborating across departments in the company so building a set of “organizational savvy” skills to influence and persuade peers to support your strategy are critical. Lastly, you lead a large team so delegation is key to your success. Your time should be spent on growing leaders in your organization and coaching them versus doing the work yourself.

Critical skills in Private Equity are a hybrid of Corp and Startup Roles

On the other end of the spectrum are Founder/C-Suite roles in startups. The top critical skill is being able to take the highly ambiguous environment and create a certain path or task list for the organization. Many leaders new to startup roles find that the level of ambiguity drives anxiety and stress for them and its not a fit for them. The second most critical skill in startups is the ability to test and iterate to find product market fit. The most common failure of startups is an over focus on the product/solution and not enough innovation/testing on the business model to ensure scale and long term success. When reviewing the financials in a startup you are looking at company level financials including the balance sheet and statement of cash flows. There is a constant focus on cash burn and runway as taking the eye off the ball here can be perilous. In a startup you define the company culture- either in a purposeful manner or by de facto standard. This tone sets how the work is going to be done, how hires are made and what motivates employees to go the extra mile. Lastly in a startup you need to be able to both be strategic but also get S*&$ done. On a daily basis you are progressing the business model but also emptying the trash, depositing checks, and following up on every sales lead. The teams are small and there is simply too much work at hand to count on only delegating the work.

In the Private Equity world the role is a blend of these two ends of the spectrum. You still need executive presence as you are regularly representing the company with lenders, customers and PE backers. As you grow the company you need to find the key scaling partners and work with them to achieve the desired growth targets. The point of a PE backed company is Exit- which typically has a pretty definite timeline. As such there is a regular focus on building company value with every investment/project decision. Middle market PE firms are large enough to already have established company cultures. The key for the operating partner is to come in and find where that culture needs a tweak to be even more effective. Think of this as the 15% that needs to improve to get 3x the value. Lastly, the mantra in PE owned firms is EBIDTA growth. The teams are likely nimble and fast at decision making with the organizational structure being much flatter than corporate roles. The CEO will be more hands on as there just is not a large team to delegate to.

Do you agree these are the key skills? Did I miss any? Let me know what you think!

AI: Hype or Reality?

Every Data Journey

starts with two steps in the right direction.

It seems in the last twelve months AI has stormed the scene and become part of business conversations across every industry.  Now that chat GPT has been in the public eye for over 18 months, the adoption curve is starting to take shape.  A year ago at a University Dean’s council large companies were sharing their strategy- block the sites from all employee access.  Those policies have shifted as the power and productivity of harnessing AI is becoming apparent.  IHL research shows that Retailers who deploy AI solutions get 2x the ROI on those investments over other IT projects.  So the next big question is- where do you start?  I would advocate the road to AI starts with two steps:

Step 1: Data mapping

While this is not a glamourous/highly visible step it is necessary to understand what data your organization has, where it resides and what data is missing.  For the data “holes” you can then determine do you tap into public sources of data to fill those gaps or will you need to ingest or convert analog data sources into digital data?  This inventory and data mapping should highlight the systems your company has and what data rights employee roles have to that data.  Ideally only a small number of employees should have access to the entire data lake.  Lastly – how secure is your data and are the measures to protect and compartmentalize the data keeping up with the times?

 

Step 2: Use case modeling

The second step on your AI journey should be to highlight the top 2-3 use cases you want to enable with this new tool.  Will it be to improve worker productivity?  Enable an entirely new customer experience?  This modeling should get specific enough to know how often the new use case will occur and who the ideal persona or ‘customer’ of the use case will be.  That will help you set measurements up front for what a successful pilot/completion of the use case will entail.  The modeling should highlight what data from step one is needed to light up the use case and again solve the challenge on where to get the data if its missing. 

 

While AI has been around in deep use cases for over ten years- the new tools and models are putting this powerful tool into the hands of many.  If your company needs a guide on this journey I recommend working with Sciata- a digital transformation company based in Scottsdale.  They have already completed over 75 AI and data migration projects with Fortune 100 companies. 

Want to discuss your AI journey further?  I’m happy to meet and hear about your company and where you are going!  Book Michelle

Quarterly Retail Insights You Want to Know: Q4'18

Quarterly Retail Insights You Want to Know: Q4'18

The wrap up to 2018 Retail does not disappoint! Travel the globe to hear about two different “shopping seasons”. Then hear about more data breach concerns. I share a new concept in hospitality that has garnered $40M in VC funding from silicon valley. CLEAR has new solutions to get attendees into stadiums safely. Lastly I deep dive this quarter on worker enhancements - with a focus on unattended retailing. Enjoy!