As businesses advance in their digital transformation journey, AI emerges as a crucial component offering valuable insights that accelerate innovation and success, while safeguarding critical business assets. MISPL's team of data scientists can identify pertinent use cases to bolster your transformation efforts, facilitating automation and data-driven decision-making.
Crafting a data strategy is vital for identifying the right data to address business challenges. We assist in establishing the environment and tools that empower data scientists to sandbox and iterate on data model development using internal or external data sources.
We help establish the operational framework to harness advanced analytics and AI techniques. Our team of data engineers creates solutions to integrate, clean, and transform data from various sources, facilitating the execution of complex algorithms
We utilize a blend of statistical and mathematical algorithms to analyze data, aiding in solving business challenges across various processes and functions. This includes custom model development, sentiment analysis, natural language processing, and other techniques.
The saying "A picture is worth a thousand words" rings particularly true in data analysis. Our data experts specialize in transforming complex analytic techniques into visually intuitive formats that are easy for you to interpret and act upon. These visualizations can be accessed across a range of platforms and devices.
Effective model management is essential for tracking model performance over time and ensuring that models generate valuable business insights based on the latest data patterns. Our approach to model management offers a framework for developing, testing, and deploying models with confidence, allowing for recalibration as necessary.
After models are validated and prepared for deployment, ensuring proper model maintenance becomes crucial. We assist in monitoring model health, detecting potential degradation, and tracking underlying data changes to maintain expected accuracy, ensure consistent results, and support ongoing maintenance.
The client sought advice and a collaborative partnership to propose an optimal approach, technology, and solution for establishing revenue taxonomy aligned with the types of work and legal domains intersecting with the client’s business. The solution required scalability to manage the entire data repository of legal matters stored in the client’s Azure environment, with adaptable administrative capabilities for continuous improvement.
MISPL collaborated with the client to conceptualize, build, and validate a machine learning pilot utilizing a solution exclusively on the Microsoft Azure Cloud. Following the successful pilot, we continued to provide support for developing, maintaining, and monitoring the revenue taxonomy solution.
As a result, the client now benefits from enhanced visibility in their financial reporting, allowing them to:
The client sought advice and a collaborative partnership to propose an optimal approach, technology, and solution aimed at drastically reducing the time required for their Accounts Payable (AP) team to extract essential data elements from invoices and input them into their invoice database. Their organization received more than 200 invoices daily, all of which were processed manually.
The client needed a scalable solution capable of automatically handling hundreds of diverse invoice types, including both domestic and international invoices.
MISPL collaborated with the client to conceptualize, develop, and validate an automated solution for extracting invoice data using Python, which streamlined the manual effort involved in the invoice ingestion process. The Python script seamlessly integrated into the client’s .NET application, enabling their AP team to review results and make updates within the existing user interface.
The implementation of this automated invoice extraction solution resulted in a substantial reduction in manual effort for the Accounts Payable team. Initial project results indicated a significant decrease of approximately 62-86% in the time required to extract each of the four data elements.
The client sought advice and a collaborative partnership to create an intelligent process automation solution for analyzing partner/leader feedback given to each employee. They aimed for the solution to generate scores based on overall feedback sentiment and present results in a clear and understandable format. The goal was to eliminate the manual effort required to analyze employee feedback forms, a task known for its tedious nature.
MISPL collaborated with the client to conceptualize and develop a solution leveraging Azure Cognitive Services (ACS) for Sentiment Analysis, which scores each comment or review to generate an employee scorecard through a Power BI dashboard. This intelligent process automation solution enables the client to efficiently review and analyze partner/leader feedback, facilitating quicker decision-making on actions related to their employees. The Power BI dashboard also allows easy lookup of comments and reviews by office, department, and partners/leaders.
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