Inside Insights: Data & Analytic Solutions in Complex Landscapes with Michael Kim

In this next series of Tech-Driven Business, Michael Kim, Data & Analytics Leader, joins Mustansir Saifuddin to discuss how to approach data and analytics in a complex landscape. They'll dive into how to simplify your implementation approach and what it takes to have a successful implementation. 

Michael has 20 years of product management and consulting experience at Accenture, IBM, KPIT, DXC Technology. Michael is responsible for implementing over 15 Data and Analytics Solutions across multiple industries. He's a Product Strategist and Expert of the information delivery platforms: SAP, IBM, Snowflake, Salesforce, Workday. 

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Michael Kim

Mustansir Saifuddin,

Innovative Solution Partners 

Twitter: @Mmsaifuddin YouTube

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Episode Transcript

[00:00:00.000] - Mustansir

Welcome to Tech-Driven Business brought to you by Innovative Solution Partners. In this first episode of a multi-part series, I welcome Michael Kim, a data and analytics expert. Listen in as Michael shares his thoughts on how to address complex IT landscapes for a successful implementation. Hello, everyone. Joining me today is Michael Kim, a good friend and a seasoned leader in the field of data and analytics with a focus on SAP technology. Welcome, Michael.

 

[00:00:42.530] - Michael

Hey, Mustansir. Very nice to be here. It's a pleasure. It's always great to have a conversation and dialog with my good friend. What better topic than talking about data analytics, especially given time right now where things are going. It's an exciting time for the market and the industry, and I'm happy to be here. Thanks for having me.

 

[00:01:02.760] - Mustansir

All right. Now, great to have you, Michael. I think this is one of the hot topic as you go along across the board. Any organization, everybody is talking about challenges of implementing data and analytics in their environment, especially when you have a complex landscape. With that, I'd like to get into our discussion points. Are you ready?

 

[00:01:26.920] - Michael

Yes, absolutely. Let's get it going.

 

[00:01:29.020] - Mustansir

All right. Let's start with a high level. I wanted to get your take on how do you approach data analytics in a complex landscape? What are the things that you're seeing based on your experience? Can you explain, can you share some thoughts on that?

 

[00:01:44.100] - Michael

Absolutely. This is the big elephant in the room for all organization, is what is complex? And especially data analytics alone, topic itself is complex. So how do we tackle it? And it's been a conversation. It's been a question. It's been a challenge for all organizations globally for however long ,I've been doing this for a very long time. And it doesn't change. I think the way I see it and what I experienced for the past 20 years, serving multiple clients and multiple vendors, both from SAP and outside of SAP, and IT and business, I think it comes down to two things is what is a complex landscape and how do we approach it? And really nails down to, two, is process approach or is it a data-driven approach? And there's no right or wrong answer for that matter. It's really what sets the foundation of solving the complexity to provide business clarity on process and what role does data and analytics products and toolset comes into that picture as well. So I've seen an organization who prefer to have a data analytics landscape where they want to have it more centralized, meaning they don't want to have it