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BOOZ ALLEN HAMILTON

MAY 2017

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COMPETITIVE LANDSCAPE

POWERED BY MAY 2017 BOOZ 1. BAH trails and in terms of media mentions and social sharing ALLEN HAMILTON 2. Most topics in this competitive scan are covered quite positively by the media and most of the neutral to negative stories are found in stock performance and guidance news

3. Major consulting firms have consistent news coverage over time while technology and defense contractors like IBM and Lockheed have more volatile coverage focused around announcements

EXECUTIVE SUMMARY Booz Allen trails deloitte and Accenture in terms of company mentions

Clusters IBM Cloud Platform ● 14% Applications Booz Allen and ● 13% Students ● BAH Stock 10% ● 9.9% Outlooks ● Deloitte Jobs 8.5% ● IBM Stock 7.0% Government ● 7.0% Contracts Deloitte and ● 5.8% Accenture Innovation and ● 5.1% FinTech Accenture ● 4.8% Acquisitions ● AI Tech 4.6% Merger with ● 4.3% Lockheed Cybersecurity and ● 4.1% Consulting Firms Accenture and Deloitte also lead by social media presence. Comparison of companies by media coverage and social sharing Booz Allen’s events are viewed positively while stock discussions have more negativity. Overview of sentiment across different themes of conversation.

Top 15 Themes in Space (by Count)

Sentiment summary

● positive 74%

● neutral 21%

● negative 4.2% Major consulting firms remain in the media consciousness while other companies are mentioned only during events. IBM Discussion over Time Brief look at coverage of most mentioned companies in the media

Top 5 Most Mentioned Companies in Media

Company (primary mention)

Accenture 30% ● Accenture Discussion over Time ● Deloitte 26% Booz Allen 20% ● Hamilton ● IBM 16% ● Lockheed Martin 3.4% ● Leidos 2.8% Connections represent HOW TO similar language used across nodes READ A Greater distance between clusters indicates a low number NETWORK of inter-related documents

A bridging node between two clusters indicates the document is at an intersection between two concepts.

Centrally located nodes are core concepts in the network and share language with many other nodes Similar nodes cluster together, and clusters The density of a are grouped by color. cluster indicates how Each node represents similar or diverse the Peripheral clusters a document. nodes are within it could represent niche takes on the topic TEXT ANALYTICS BACKGROUND

Quid reads any text to Then Quid compares words Quid repeats the process at identify key words, phrases, from each document to immense scale, producing a people, companies and create links between them network that shows how institutions. based on similar language. similar all the documents are to one another. Quid is software that reads millions of documents and offers immediate insight by organizing that POWERED content visually. We power human intuition with BY machine intelligence, enabling organizations to make decisions that matter.

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