Michael Porter

Mike Porter leads the Strategic Advisors team for Perficient. He has more than 21 years of experience helping organizations with technology and digital transformation, specifically around solving business problems related to CRM and data.

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Blogs from this Author

CRM, It’s Really a Marketing Project

I’m following up on my original post that a traditional CRM project is no longer just about the tool.  So while I agree that a CRM tool is important, success comes from the recognition that CRM is part of a landscape and that it must fit into that overall ecosystem in order to provide value. […]

CRM, It’s Not Really A CRM Project Anymore

Lately, I’ve worked on a number of CRM projects for clients.  One theme sticks out more than anything else.  It’s that a Customer Relationship Management (CRM) project is not really a CRM project.  Instead, they are the following: Marketing Data Integration Knowledge Management In many cases, the budget for a CRM project has more funds […]

AI Summit: Tagging Medical Records Create Vital Data and Analytics

Doug Kemp of Innodata spoke about getting key medical data into a form that can be understood and used.  Like many things, components of AI can parse and understand this data but it can’t be done by itself.  In this particular case, getting even small things wrong in your data has huge implications when using […]

Web API Using Azure

AI Summit: 5 Worst Practices for AI and ML

Matt Maccaux, Global Field CTO at HPE,  spoke on an interesting topic.  There are plenty of ways to make mistakes with artificial intelligence. Analytics Anti-Patterns (the worst practices) Anti-patterns are what organizations do to solve problems when it “seems” right but really isn’t correct. Volume 1 (presented earlier) Silos of information create duplication of data […]

AI Summit: Real World Success Stories to Help Prepare and Scale AI

Christine Livingston, Perficient’s own Chief Strategist for AI,  presented at a session on real-world success stories in AI at AI Summit. As always, she focused on the best practices in how this works. Quote: AI adoption has tripled in the past 3 years. We’ve barely scratched the surface What is AI really? Machine Learning Natural […]

AI Summit: There is Nothing Artificial About Artificial Intelligence

Perficient is at the AI Summit in New York City and there’s a lot of great content and insights. Jeff McMillan, Chief Analytics and Data Officer at Morgan Stanley Wealth Management gave a great session about AI and what he’s learned. In many ways, his insight mirror what Christine Livingston has to say about AI in […]

Customer Loyalty vs Customer Experience

I spend a lot of time with clients who very much want to create a relationship with their customers, patients, etc. A lot of them use a combination of their data plus a range of 3rd party data to round it out. Many have a loyalty program or want to initiate a loyalty program believing […]

Data As Experience: Designing For The User

This is a continuation of my Data As Experience Series. My last post in this series focused on Context. In this post, we will discuss a process of designing for the user experience. Designing for The User All too often, I see a report designer think more about how to make a report grab the […]

Why Integrity is Good for Business

Our Perficient colleagues share how they live and breathe our core values. Here, Michael Porter, Managing Principal for our strategic advising practice, writes about why as technology strategist, integrity is so important. Integrity is one of the most important things for a business. At Perficient, we talk about creating a mentoring relationship with our clients. […]

Data As Experience: Context Is King

This is a continuation of my Data As Experience Series.  The last post was on the Customer Role. Context: Why It’s Important You cannot create a great report or insight without first taking into account a user’s context.  Where they are and what they are doing should influence what you create for them.  Remember that […]

Data as Experience: The Customer Role

This is a continuation of my Data As Experience Series.  The last post was on the Executive Role. The Customer Many companies tend to overlook customers.  Most salespeople actually provide a range of reports but nine times out of ten, it seems that these are custom built report based on a lot of hoops the […]

Data as Experience: The Executive Role

This is a continuation of my Data As Experience Series.  The last post was on the Data Scientist Role. The Executive (and other company leaders) Business Intelligence Developers and IT heads have probably spent more time on this role than any other single reporting or insights need. This makes sense. We expect leaders at all […]

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