Data-Driven Decisions for Fortune 500 using ML

Technology Stack

Problem Statement

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Data Complexity: The e-manifest data files were large and contained micro-level details, making it challenging for the internal team to extract meaningful insights and make effective decisions.

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Lack of Real-time Access: The static nature of the published data files hindered real-time access, preventing the client from staying up-to-date with the latest information and responding promptly to emerging trends or issues.

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Time-consuming Processes: Manual downloading, extracting, and uploading of e-manifest files to internal teams for analysis were time-consuming and error-prone, slowing down the data processing workflow and delaying actionable insights.

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Limited Data Visibility: The existing data presentation lacked cohesion and visual representation, making it difficult for the marketing team to gain a clear understanding of the data, hindering effective interpretation and identifying patterns or trends.

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Insufficient Data Analysis: The marketing team faced challenges in aggregating and analyzing the e-manifest data across multiple dimensions, limiting their ability to derive comprehensive insights and uncover meaningful correlations within the data.

Solution Overview

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OptiSol worked with a leading environmental service provider to develop a PowerBI platform that transformed complex e-Manifest data into visually engaging displays, providing a clear understanding of information.

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Our streamlined pipeline automated the upload and extraction of e-Manifest files, optimizing data processing workflows.

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By designing cubes for multidimensional data aggregation, we enabled in-depth analysis and insights for informed decision-making.

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Through PowerBI training, we empowered the client's team to create reports and leverage data-driven insights for improved decision-making.

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Our solution improved data handling efficiency by automating processes and establishing an organized archive for easy access and reference.

Business Impact

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Data Transformation: OptiSol's PowerBI platform transforms complex e-Manifest data into visually engaging displays for informed decision-making.

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Automated Data Processing: Our streamlined pipeline automates e-Manifest file upload and extraction, optimizing data workflows for efficiency.

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In-depth Analysis: Through multidimensional data aggregation using cubes, we provide actionable insights for informed decision-making.

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Empowering Insights: PowerBI training empowers the client's team to create reports and leverage data-driven insights for business growth.

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Efficient Data Management: Our solution automates processes and establishes an organized archive for easy access, improving data handling efficiency.

Testimonials of Our Happy Clients

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Our Award-Winning Team

A seasoned AI & ML team of young, dynamic and curious minds recognized with global awards for making significant impact on making human lives better

Awarded Bronze Trophy at CII National competition on Digitization, Robotics & Automation (DRA) – Industry 4.0

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50+

AI & ML
Engineers

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40+

AI & ML
Projects for
reputed Clients

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5yrs

in AI & ML
Engineering

Awarded as Winner among 1000 contestants at TechSHack Hackathon

Trusted and Proven Engagement Model

  • A nondisclosure agreement (NDA) is signed to not disclose any sensitive information revealed over the course of doing business together.
  • Our NDA-driven process is established to keep clients’ data and IP safe and secure.
  • The solution discovery phase is all about knowing your target audience, writing down requirements, and creating a full scope for the project.
  • This helps clarify the goals, and limitations, and deliver quality products & services.
  • Our engagement model defines the project size, project development plan, duration, concept, POC etc.
  • Based on these scenarios, clients may agree to a particular engagement model (Fixed Bid, T&M, Dedicated Team).
  • The SOW document shall list details on project requirements, project management tools, tech stacks, deliverables, milestones, timelines, team size, hourly/monthly rate cards, billable hours and invoice details.
  • On signing the SOW, an official project kick-off meeting shall be initiated.
  • Our implementation approach, ecosystem, tools, solutions modelling, sprint plan, etc. shall be discussed during this meeting.

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