Case Studies > How a Large Global Professional Services Network Deploys Natural Language Generation

How a Large Global Professional Services Network Deploys Natural Language Generation

Company Size
1,000+
Region
  • America
Country
  • United States
Product
  • Quill by Narrative Science
  • AWS Lambda
Tech Stack
  • Natural Language Generation (NLG)
  • AWS Cloud Infrastructure
  • Machine Learning
  • ETL (Extract, Transform, Load)
Implementation Scale
  • Enterprise-wide Deployment
Impact Metrics
  • Cost Savings
  • Customer Satisfaction
  • Productivity Improvements
Technology Category
  • Analytics & Modeling - Machine Learning
  • Analytics & Modeling - Natural Language Processing (NLP)
  • Infrastructure as a Service (IaaS) - Cloud Computing
Applicable Industries
  • Professional Service
Applicable Functions
  • Business Operation
  • Quality Assurance
Services
  • Cloud Planning, Design & Implementation Services
  • Data Science Services
  • System Integration
About The Customer
Deloitte US is a large professional services firm employing over 84,000 people worldwide. Deloitte’s practitioners provide audit and assurance, consulting, tax, risk, and financial advisory services to 80% of the Fortune 500 and more than 6,000 private and middle market companies across 20 industry sectors.
The Challenge
As a large company, Deloitte often faces data overload: access to multiple, very large data sets without the time and resources to fully analyze that data for meaningful recommendations. Company leaders often must move quickly to make decisions based on data findings – a process that can often require manual or semi-manual data aggregation and analysis. Adding to the need for quick data analysis are the needs of Deloitte’s clients, who often approach Deloitte with a desire to innovate their businesses. Automating manual, time-intensive processes to derive insights from large data sets, or using data to create new ways to engage with rapidly-changing consumer bases, adds value for Deloitte’s clients. In order to show value to clients quickly, timelines are often tight.
The Solution
Narrative Science, an Amazon Web Services (AWS) Machine Learning Competency Partner, created a Natural Language Generation (NLG) platform, Quill, that interprets large data sets meaningfully and in context. The company came to the attention of Deloitte’s decision makers due to its expertise in the NLG industry. Using Quill, Deloitte automates existing internal manual analysis and reporting processes. Quill also helps the company scale and improve customer communication for a variety of clients. Deloitte has brought its own industry expertise and deep knowledge of system and workflow integration to create a full end-to-end solution using NLG for its clients. AWS provides the cloud infrastructure that allows Deloitte to quickly spin up and deploy secure NLG solutions to its clients.
Operational Impact
  • With Narrative Science and AWS, Deloitte is able to build quality, custom NLG solutions for its clients, helping them to automate existing reporting processes or derive new insights from data.
  • Deloitte is able to quickly deploy solutions on AWS, cutting down on time to delivery.
  • Deloitte has been particularly impressed by the ease and speed with which new AWS environments can be deployed.
  • Narrative Science and AWS have enabled Deloitte to increase internal efficiency, and to scale consultative customer engagements both for the firm and its clients.
  • AWS allows Deloitte to decrease time to market while continuing to ensure secure hosting for sensitive data.
Quantitative Benefit
  • Deloitte’s use of Narrative Science’s NLG platform has already resulted in savings of more than half a million dollars for the firm’s internal operations.
  • Deloitte is planning to deploy three additional NLG solutions internally in the coming months.

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