Why you should hire an automated analyst

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What is Advanced NLG (Natural Language Generation)?

Organizations on the journey to digital transformation are looking for opportunities to drive innovation that are practical and can be easily measured, however this often proves to be a complicated task. Advanced natural language generation (Advanced NLG), technology that transforms data into insightful language, is emerging as a practical application of Artificial Intelligence (AI) and can be used across the enterprise to drive operational efficiency, scale employee expertise, and accelerate decision-making. Akin to a top-tier analyst who interprets and communicates what is most interesting and important in the data, Advanced NLG is already being used to analyze and articulate data-driven information at incredible scale. 

How do you properly evaluate opportunities for Advanced NLG? How do you align resources? Where can you start? PwC and Narrative Science share perspectives in this paper. 

Disrupt or be disrupted

You are making the investment to become a data-driven enterprise, digitizing and centralizing data assets, hiring skilled analysts, and reporting information to relevant parties. In the current environment of "disrupt or be disrupted," you are most likely investigating opportunities to hire the best and brightest data-savvy and analytics-focused employees.  

In fact, 80% of executives agree that identifying opportunities to digitize their enterprise is a critical part of the innovation process1 and they are willing to pay to make this happen. By 2019, companies around the world are expected to have spent a total of $2.1 trillion on digital transformation.2

So why are your employees still spending countless hours manually analyzing, interpreting, and communicating data insights? Why, after data aggregation and reporting efforts, are we still left with tables and charts that leave us questioning their importance and meaning?

Forward-looking enterprises are realizing the answers to these questions are not simply found by hiring the elusive data scientist or making further investments in data visualization tools alone: they are looking to opportunities within AI and automation.3


1 2017 PwC Global Digital IQ Survey
2 IDC, IDC FutureScape: Worldwide IT Industry 2017 Predictions, IDC #US41883016, November 2016 
3 PwC, “Five Forces that will reshape the global landscape of anti-bribery and anti-corruption”

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Dyan Decker

Dyan Decker

US Forensics Leader, PwC US

Dan Krittman

Dan Krittman

Principal, PwC US

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