Delali Agbenyegah, CAP
Cumming, Georgia, United States
7K followers
500 connections
Cumming, Georgia, United States
7K followers
500 connections
About
Data driven strategic leader with strong communication and negotiation skills…
Articles by Delali
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2023-The year of LLMs: Reflections and looking ahead to what 2024 could look like in the world of data, machine learning and artificial intelligence
2023-The year of LLMs: Reflections and looking ahead to what 2024 could look like in the world of data, machine learning and artificial intelligence
By Delali Agbenyegah, CAP
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Thoughts on Data Science, Machine Learning & Artificial Intelligence in 2023
Thoughts on Data Science, Machine Learning & Artificial Intelligence in 2023
By Delali Agbenyegah, CAP
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Data, Analytics, ML and AI: Reflections on 2021 and thoughts on 2022 trends
Data, Analytics, ML and AI: Reflections on 2021 and thoughts on 2022 trends
By Delali Agbenyegah, CAP
Activity
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👀🔥🚀 Couldn't be more thrilled to give Shopify Engineering a huge powerup Welcome Mikhail Parakhin as our new CTO
👀🔥🚀 Couldn't be more thrilled to give Shopify Engineering a huge powerup Welcome Mikhail Parakhin as our new CTO
Liked by Delali Agbenyegah, CAP
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Meet Emily Muller, our third General Chair of the 2024 edition of the Deep Learning Indaba. 🔥 Emilly is a mathematician, based in London, who…
Meet Emily Muller, our third General Chair of the 2024 edition of the Deep Learning Indaba. 🔥 Emilly is a mathematician, based in London, who…
Liked by Delali Agbenyegah, CAP
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Here’s how you can correct the pride problem in your life and leadership: 1. Recognize your pride today. 2. Admit your pride today. 3. Express your…
Here’s how you can correct the pride problem in your life and leadership: 1. Recognize your pride today. 2. Admit your pride today. 3. Express your…
Liked by Delali Agbenyegah, CAP
Experience
Education
Licenses & Certifications
Volunteer Experience
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Co-Founder and President
Ghana Data Science Summit (IndabaX Ghana)
- Present 6 years 2 months
Education
Organizes conferences, seminars and webinars to create awareness and build capacity around Data Management, Analytics and Machine Learning in Ghana.
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Lead Organizer/Host , IndabaXGhana
Deep Learning Indaba
- Present 5 years 5 months
Education
Organizes IndabaXGhana annually to create awareness and build capacity in Machine Learning and Artificial Intelligence, and how the youth of Ghana as well as the country of Ghana as a whole can benefit from these technological advancements
Publications
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Discover and Visualize the Golden Paths,Unique Sequences and Marvelous Associations out of your big data using Link Analysis in SAS Enterprise Miner
Conference for Statistical Practice, ASA
The need to extract useful information from large amount of data to positively influence business and government decisions is on the rise especially with the hyper expansion of data collection and storage and the advancement in computing capabilities. Many enterprises and government institutions now have well established databases to capture data on every interaction that goes on within their organization. Link Analysis is a data mining technique that is used to identify and evaluate…
The need to extract useful information from large amount of data to positively influence business and government decisions is on the rise especially with the hyper expansion of data collection and storage and the advancement in computing capabilities. Many enterprises and government institutions now have well established databases to capture data on every interaction that goes on within their organization. Link Analysis is a data mining technique that is used to identify and evaluate relationships or connections as well as sequences among various types of objects including people, organizations and transactions. This analytic technique can be applied in fraud detection, counterterrorism, computer security analysis, search engine optimization, market research and medical research. However, creating an efficient and robust statistical algorithm to conduct link analysis on big data can be a daunting task. Fortunately, the newly added Link Analysis node in SAS ® Enterprise Miner TM provides a simple to use but yet powerful analytical tool to extract, analyze, discover and visualize the connections (links) and sequences that exist in any dataset. In this paper, we discuss the basic elements of link analysis from a statistical perspective and provide a step by step example of how to conduct link analysis using SAS Enterprise Miner.
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Discover the golden paths, unique sequences and marvelous associations out of your big data using Link Analysis in SAS® Enterprise Miner
MWSUG
The need to extract useful information from large amount of data to positively influence business decisions is on the rise especially with the hyper expansion of retail data collection and storage and the advancement in computing capabilities. Many enterprises now have well established databases to capture Omni channel customer transactional behavior at the product or Store Keeping Unit (SKU) level. Crafting a robust analytical solution that utilizes these rich transactional data sources to…
The need to extract useful information from large amount of data to positively influence business decisions is on the rise especially with the hyper expansion of retail data collection and storage and the advancement in computing capabilities. Many enterprises now have well established databases to capture Omni channel customer transactional behavior at the product or Store Keeping Unit (SKU) level. Crafting a robust analytical solution that utilizes these rich transactional data sources to create customized marketing incentives and product recommendations in a timely fashion to meet the expectations of the sophisticated shopper in our current generation can be daunting. Fortunately, the Link Analysis node in SAS® Enterprise Miner TM provides a simple but yet powerful analytical tool to extract, analyze, discover and visualize the relationships or associations (links) and sequences between items in a transactional data set up and develop item-cluster induced segmentation of customers as well as next-best offer recommendations. In this paper, we discuss the basic elements of Link Analysis from a statistical perspective and provide a real life example that leverages Link Analysis within SAS Enterprise Miner to discover amazing transactional paths, sequences and links.
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Can you STOP the guesswork in your marketing budget Allocation??? Marketing Mixed Modeling using SAS® can help!!!
MWSUG 2015 Conference Proceedings
Even though marketing is inevitable in every business, each and every year the marketing budget is limited and prudent fund allocations are required to optimize marketing investment. In many businesses, the marketing fund is allocated based on the marketing manager’s experience, departmental budget allocation rules and sometimes ‘gut feelings’ of business leaders. Those traditional ways of budget allocation yield sub optimal results and in many cases lead to money wasting on certain irrelevant…
Even though marketing is inevitable in every business, each and every year the marketing budget is limited and prudent fund allocations are required to optimize marketing investment. In many businesses, the marketing fund is allocated based on the marketing manager’s experience, departmental budget allocation rules and sometimes ‘gut feelings’ of business leaders. Those traditional ways of budget allocation yield sub optimal results and in many cases lead to money wasting on certain irrelevant marketing efforts. Market Mixed models can be used to understand the effects of marketing activities and identify the key marketing efforts that drive the most sales among a group of competing marketing activities. The results can be used in marketing budget allocation and take out the guess work that typically goes into the budget allocation. In this paper, we illustrate how to develop and implement Market Mixed Modeling using SAS procedures from a practical perspective. Real life challenges of market mixed model development and execution are discussed and several recommendations are provided to overcome some of those challenges whenever possible.
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Get the highest bangs for your marketing bucks using Incremental Response Models in SAS® Enterprise Miner
MWSUG 2015 Conference Proceedings
Traditional marketing predictive models target customers who are likely shop, make more trips or spend more. Whiles this approach generally yields higher marketing campaign performance results over random selection, it can sometimes lead to money wasting on customers who will shop regardless of marketing offers and ‘do not disturb’ customers who will rather stop shopping if you ‘disturb’ them with marketing offers.Net lift models are used to identify ‘persuadable’ customers who have higher…
Traditional marketing predictive models target customers who are likely shop, make more trips or spend more. Whiles this approach generally yields higher marketing campaign performance results over random selection, it can sometimes lead to money wasting on customers who will shop regardless of marketing offers and ‘do not disturb’ customers who will rather stop shopping if you ‘disturb’ them with marketing offers.Net lift models are used to identify ‘persuadable’ customers who have higher likelihood to respond to marketing campaigns and help marketers maximize their return on marketing investments. This paper simplifies the basic concept of Net Lift modeling using
real life examples and shows how this can easily be accomplished using SAS® Enterprise Miner TM .The paper concludes with real life challenges of Net Lift modeling and suggests ways to handle some of those challenges as well as recommended situations where Net Lift models work best. -
Tell me what you want:Conjoint Analysis made simple using SAS
SAS Global User's Group,SAS
The measurement of factors influencing consumer purchasing decisions is of interest to all manufacturers of goods,retailers selling these goods, and consumers buying these goods. In the past decade, conjoint analysis has become one of the commonly used statistical techniques for analyzing the decisions or “trade-offs” consumers make when they purchase products. Although recent years have seen increased use of conjoint analysis and conjoint software, there is limited work that has spelled out a…
The measurement of factors influencing consumer purchasing decisions is of interest to all manufacturers of goods,retailers selling these goods, and consumers buying these goods. In the past decade, conjoint analysis has become one of the commonly used statistical techniques for analyzing the decisions or “trade-offs” consumers make when they purchase products. Although recent years have seen increased use of conjoint analysis and conjoint software, there is limited work that has spelled out a systematic procedure on how to do a conjoint analysis or use conjoint
software. The goals of this paper are as follow: 1) Review basic conjoint analysis concepts,2) Describe the mathematical and statistical framework on which conjoint analysis is built; 3) Introduce the TRANSREG and PHREG procedures, their syntaxes, and the output they generate using simplified real life data examples. This paper concludes by highlighting some of the substantives issues related to the application of conjoint analysis in a business environment and the available auto call macros in SAS/STAT®,SAS/IML® and SAS/QC® to handle more complex
conjoint designs and analyses. The paper will benefit the basic SAS® user, statisticians and research analysts in every industry, especially in marketing and advertisement.
More activity by Delali
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Good day. The call for participation in the 5th IndabaX Malawi is open. To express the wish to participate one must enrol by completing the form on…
Good day. The call for participation in the 5th IndabaX Malawi is open. To express the wish to participate one must enrol by completing the form on…
Liked by Delali Agbenyegah, CAP
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📍 Georgia Institute of Technology collaborates with KNUST College of Engineering to Promote Education and Research 📍 On 31st July 2024…
📍 Georgia Institute of Technology collaborates with KNUST College of Engineering to Promote Education and Research 📍 On 31st July 2024…
Liked by Delali Agbenyegah, CAP
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Nothing excites me more than the smiles on the faces of the audience while I walked up to the stage, it explains a lot. Sometimes, it is good to be…
Nothing excites me more than the smiles on the faces of the audience while I walked up to the stage, it explains a lot. Sometimes, it is good to be…
Liked by Delali Agbenyegah, CAP
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𝐒𝐩𝐨𝐧𝐬𝐨𝐫𝐬 𝐀𝐩𝐩𝐫𝐞𝐜𝐢𝐚𝐭𝐢𝐨𝐧 𝐖𝐞𝐞𝐤! For five incredible years, IndabaXGhana24 has flourished, fueled by the generous support of our…
𝐒𝐩𝐨𝐧𝐬𝐨𝐫𝐬 𝐀𝐩𝐩𝐫𝐞𝐜𝐢𝐚𝐭𝐢𝐨𝐧 𝐖𝐞𝐞𝐤! For five incredible years, IndabaXGhana24 has flourished, fueled by the generous support of our…
Liked by Delali Agbenyegah, CAP
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