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A one-stop solution for making tests easy for educators, and ed-tech businesses
Find the Blind Spots in your Marketing Performance
Parse and Match Resume Data With Job Description in Bulk
Test and experience Computer Vision Implementation
Transform Tally Data to Power BI with Ease
Reimagine Digital Catalogues with Virtual TryOn
Make your retail outlet efficient and successful with data-driven insights
Latest blogs, news and
updates!
Collaboration driving business impact
Hands-on industry trends, insights and real-world collabs
Join us. Be a part of something great.
All about the story, vision, and team behind the Biz
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The company highlighted multiple challenges in the existing workflow when we first sat together for a discussion. Here are the key issues we identified:
Automating Market Demand and Pricing
The client struggled with the daily task of assessing market demand for diamonds, which directly affected pricing decisions. They sought a software solution to automate demand analysis and pricing, improving efficiency and reducing manual time.
Lack of Timely Metrics
Without a system to structure raw data, the client faced challenges in analyzing market trends and managing inventory, limiting their ability to make informed decisions.
Mis-handling Large Datasets
Processing large datasets (over 1 million rows) took 14-16 hours due to inefficient calculations. The lengthy processing time hindered daily operations frequently.
After analyzing the challenges discussed in the table, the solution had to address challenges like handling large datasets. By using tools like numpy vector arrays and parallel computation, we were able to reduce processing time and introduced file-splitting logic to ensure that no data would be lost during the analysis of large datasets.
Excel Data Handling
We automated the extraction and transformation of data from various Excel sheets and workbooks, ensuring it was ready for analysis.
File and Folder Management
This automated the creation of folders based on data, categorized the Excel data, and stored it in specific directories for easy access.
Python Automation
Using Python scripts, we automated repetitive tasks such as copying, renaming, and moving files into organized folders. We also ensured that any data inconsistencies, like missing or incorrect formats, were handled properly.
Error Handling
Our designated developers made sure all data was properly validated, preventing any issues like missing values or formatting errors.
Excel Integration
We ensured that processed Excel files were saved according to predefined rules and generated summary reports, making it easier for the client to analyze the data.
The implemented, automated software solution delivered significant improvements in the client’s diamond market demand analysis and pricing optimization processes, benefitting them with their enterprise goals.
Logistics & Supply Chain
Middle East
End to End Project Lifecycle Management
Briefly describe the challenges you’re facing, and we’ll offer relevant insights, resources, or a quote.
Business Development Head
Discussing Tailored Business Solutions
DataToBiz is a Data Science, AI, and BI Consulting Firm that helps Startups, SMBs and Enterprises achieve their future vision of sustainable growth.
DataToBiz is a Data Science, AI, and BI Consulting Firm that helps Startups, SMBs and Enterprises achieve their future vision of sustainable growth.