
How to Translate Data and Technology for Business Leaders | Ken Scales | Show 115

Audio Podcast
How to Translate Data and Technology for Business Leaders | Ken Scales | Show 115
How to Translate Data and Technology for Business
Leaders About Ken Scales:
As founder & CEO, Ken Scales ensures Scalesology is delivering innovative and scaleable solutions for clients while providing a positive atmosphere of integrity and respect for employees. Ken has led technology company operations and sales teams for over 20 years. He created and managed the development of multiple technology services/products, which gained national awards for innovation. Ken’s mindset for listening to his clients and delivering problem-solving solutions has ensured increased sales in every organization he has overseen. Ken has the unique ability to translate business requirements into technology functionality.
https://www.scalesology.com/ 312.809.3996 INFO@SCALESOLOGY.COM
Timestamps:
00:00 – How to Translate Data and Technology for Business Leaders
01:13 – How Did Ken Come Up With The Name “Scalesology” For His Business?
04:08 – What Does Scalesology Provide to Customers?
05:17 – A Case Study: Used Cooking Oil Recycling Company Grow and Scale
08:20 – How Do People Know What Scalesology Has to Offer?
10:56 – Ken’s Journey to The Analytics Specialization
12:25 – How Does Scalesology Acquire a Client’s Project?
13:50 – What Industries Can Scalesology Assist Users in Using Data for Predicted Purposes?
18:15 – What Are Some Examples of Publicly Available Data That Individuals Can Access?
19:57 – A Case Study in Which Ken Assisted Clients in Achieving ROI
22:19 – Does Scalesology Provides Assistance in Professional Services?
24:02 – Who are Ken’s Ideal Clients?
25:55 – How Does Scalesology Secure its Clients’ Data Privacy?
27:04 – How Did Ken Develop a Data Analytics Firm?
29:30 – How to Hire the Best People?
31:17 – How to Run a Business with A Work-From-Home Plan Before a Pandemic 32:41 – What Does the Future Hold for The Scalesology Team? 39:24 – What Is the Difference Between Organized and Unstructured Data?
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