Yemi Orogbemi​
Founder & CEO
Seventeen years of finance experience: senior accountant, financial planner, financial analyst, finance manager, sales controller, Python expert, and data scientist.
Seventeen years ago, Yemi's firsthand experience working with finance teams and witnessing multiple failed IT reporting projects served as a catalyst to explore better solutions. Yemi began automating finance reports, leading to the development of four in-house applications for Macy's and Coach. To gain further insights, Yemi joined an IT reporting project and discovered that data engineers often lack the necessary financial knowledge to create meaningful reports—a situation comparable to asking an English-only speaker to write in Spanish. Additionally, Yemi observed that expensive self-service solutions are frequently underused, as information consumers expect to be served like any other consumer.​
Philippe Flichy​
Advisor
Philippe is a digital transformation strategist and advisor to tech companies and a seasoned executive who contributed to the 2002 Salt Lake Olympics intranet.
Philippe has demonstrated a robust entrepreneurial spirit during his successful career, starting several companies and being a digital transformation executive of Oil & Gas Fortune 500 companies. Philippe graduated from Boston University with a degree in Management Information Systems and received many SPE (Society of Petroleum Engineers) awards. He is an international speaker, having delivered over 200 presentations at various national/international conferences and trade shows across the world.
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Why automation?​
Like a 2-year-old in a toy store, money, the lifeblood of organizations, tends to scatter around when you take your attention off it. Money is not static; it is an energy that requires constant motion and strong control.
With its many repetitive and standardized tasks, financial analysis is ideally suited for automation. The platform interacts with systems and applications involved in the process, mimics manual financial analysis 24/7, and sends alerts when potential cost overruns or risks are detected.​
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Like an EKG machine, Nemo monitors the organization's financial performance so managers can focus on other priorities.
Case studies
Macy's, Inc. is one of the nation's premier omnichannel retailers
Problem:
Macy’s marketing only reviewed the budget once a month (reactive) which caused cost overruns and frequent restatements.
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Solution:
Created algorithms to update the budget results daily, which made the team proactive and reported accurate numbers to HQ
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Benefits:
Improved cost control
Minimized surprises
Improved accuracy
Fast management reports
Coach is a luxury American fashion house specializing in leather handbags, luggage, and accessories, as well as ready-to-wear.
Problem:
The procurement department couldn’t report on historical projects financial information saved in different formats across 400 excel workbooks.
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Solution:
Created algorithms to scan, clean, autocorrect, align, and create a database from 400 excel workbooks. We then used automation to help managers get information based on simple filters.
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Benefits:
Improved cost control
Helped with planning and strategy
Information used for vendor price negotiation
Fast management reports
Pace is a leading contemporary art gallery representing the most significant artists and estates of the 20th and 21st centuries.
Problem:
The gallery accountants didn't understand the company data and managers were making decisions in the dark.
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Solution:
Created algorithms to understand the general ledger and chart of accounts to make reporting available to managers.
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Benefits:
Improved cost control
Monthly P&L and Balance Sheet
Delivered daily reports to sales teams
Improved receivables
Fast management reports