Live webinar "Costly Mistakes in Determining Safety Stocks and a New Approach"
Deep Data Mining Blog
by Unknown
4M ago
Don't miss the live webinar "Costly Mistakes in Determining Safety Stocks and a New Approach" taking place tomorrow at 9:00am Eastern. In this interactive webinar, we'll demonstrate why not considering profit margin when setting service levels and safety stocks can be a costly mistake. We'll show you firsthand how a new method that accounts for gross margin can better optimize your inventory to maximize profits. Have your own data ready! All we need is a few SKUs' average daily demand, standard deviation of demand, lead time, and gross margin. We'll apply this method to your data live to start ..read more
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Optimize Your Inventory Live: An Interactive Webinar
Deep Data Mining Blog
by Unknown
5M ago
Join our live, interactive session on Wednesday, November 8 at 9am Eastern where we'll optimize real inventory data right before your eyes. Bring your own data for products you want to optimize. We'll input the numbers into our system during the webinar including: - Daily demand (in Units) - Demand variability (i.e., standard deviation of daily demand) - Lead time (in Days) - Margin - calculated as (sale price - purchase price)/purchase price To give you an idea, the presenter Dr. Jay Zhou will demo the algorithm using data for one of his SKUs: - Daily demand: 100 units - Demand variability: 3 ..read more
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Upcoming Webinar: How to Boost Your Bottom Line: Achieving Greater Profits with Automated Inventory Optimization
Deep Data Mining Blog
by Unknown
5M ago
Intuition tells us that an inventory item with 65% gross margin, everything else being the same, should have a higher service level/safety stock than one with 10% for the sake of maximizing profit. However, traditional methods fail to quantify exactly how much the service levels/safety stocks should differ between these items. This causes companies millions of dollars in lost profits every year. Our proprietary Safety Stock Price Model, developed by Dr. Jay Zhou, solves this issue. The model accurately calculates the ideal service levels and safety stocks based on your products' gross margins ..read more
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Upcoming Webinar on How to Boost Your Bottom Line: Achieving Greater Profits with Automated Inventory Optimization
Deep Data Mining Blog
by Unknown
5M ago
Upcoming Webinar on How to Boost Your Bottom Line: Achieving Greater Profits with Automated Inventory Optimization -Why Traditional Methods Fall Short and How Our Algorithm is the True Path to Financial Success Will be delivered by Dr. Jay Zhou on Wednesday, November 1st 2023 - 9:00 PM (EDT). Please register here ..read more
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Leveraging Oracle's Compress and Partition Features for Efficient Data Management
Deep Data Mining Blog
by Unknown
1y ago
Recently, one of my clients loaded a substantial amount of data into an Oracle database table, which consumed an excessive amount of disk space and resulted in sluggish query performance. To address these issues, I suggested implementing Oracle's compress and partition table features. By applying these techniques, we successfully saved disk space and improved query performance. In this example, we will create a table that combines both compression and partitioning with an interval. The table will store a sales transaction dataset, which includes columns for transaction ID, product ID, date, an ..read more
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Convincing an Intern to Perform Data Science Tasks Using SQL
Deep Data Mining Blog
by Unknown
1y ago
An intern has joined my client's company to work on a data science task. I will be helping her along the way. She is familiar with Python and R programming languages and has accomplished a number of projects with these tools. However, I have successfully convinced her that it is a good idea to learn database query language SQL and use it to perform most data work. The following are the four reasons that I mentioned: Unlike in academic environment, business data are mostly stored in relational databases. It is economical and secure to perform data analytics/data science jobs within databases ..read more
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Upcoming Webinar: Optimize Inventory Safety Stock - A Fundamental Principle and Tool
Deep Data Mining Blog
by Unknown
2y ago
Many factors involved with an inventory affect the bottom line of a business including the purchase price, selling price, bank interest rate, warehouse space cost, utility cost, cost of the item being damaged, stolen and becoming obsolete, etc. It is a consensus among planners that balancing these factors and setting safety stock levels to improve the overall profitability is by no means an easy task. In the webinar, Dr.Jay Zhou will introduce a much-need guiding principle that pinpoints the optimal safety stock level to maximize the profitability. It is a powerful and quantitative principle ..read more
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Upcoming Webinar - Optimize Inventory Safety Stock - A Fundamental Principle and Tool
Deep Data Mining Blog
by Unknown
2y ago
Without a clear and quantified guiding principle, planners find themselves having a hard time determining inventory safety stock levels. Often, it becomes an “art”, which involves manual judgement and spreadsheets, rather than a science. It is not uncommon to see that a company’s safety stock levels stay the same for years despite the business conditions have changed drastically. As a result, a company’s bottomline is negatively impacted. In the webinar, Dr.Jay Zhou will introduce a much-need guiding principle that pinpoints the optimal safety stock level to maximize the profitability. It is ..read more
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Upcoming Webinar: Optimize Inventory Safety Stock ...
Deep Data Mining Blog
by Unknown
2y ago
Upcoming Webinar: Optimize Inventory Safety Stock - A Fundamental Principle and Tool Many planners take a trial-and-error approach based on experience or guesswork to set inventory safety stock levels. In the webinar, Dr.Jay Zhou will introduce a fundamental principle that pinpoints the optimal safety stock level to maximize the profitability. It is a powerful and quantitative principle yet a straightforward one that can be easily understood by everybody. The benefits of the approach are many-faceted: fully measurable financial outcomes, improved planning productivity, etc. Following the intr ..read more
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We are hiring data engineers.
Deep Data Mining Blog
by Unknown
2y ago
We are looking for multiple Data Engineers for a six-month project. The role will help us build and maintain a Snowflake data warehouse that captures historical and ongoing business data. The data in the warehouse need to be cleaned, transformed, and merged to generate a holistic view of the business, which will serve as the foundation for downstream value-added in-depth analytics and machine learning. Responsibilities Build Snowflake data pipeline/ETL jobs to ingest data from text files, relational and non-SQL databases. Perform ongoing maintenance and administration of the Snowflake warehou ..read more
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