We use cookies, including third-party cookies from Google to serve personalized ads through AdSense, to operate this site and understand how it is used. By continuing to browse, you accept this use. See our Privacy Policy and Terms of Use for details, including how to opt out of personalized advertising.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers -- AI-generated illustration
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers
    7 Min Read
    chatgpt image jul 21, 2026, 04 34 30 pm
    4 Core Benefits of Predictive Maintenance after Vibration Analysis
    10 Min Read
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results -- AI-generated illustration
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results
    11 Min Read
    chatgpt image jul 13, 2026, 04 23 45 pm
    How Data Analytics Helps Companies Improve User Engagement
    19 Min Read
    chatgpt image jul 13, 2026, 03 59 46 pm
    How Data Analytics Improves Multi-Location Search Strategies
    10 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: NYPD and Microsoft Create a Next Generation Law Enforcement Big Data Solution
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Analytics > Predictive Analytics > NYPD and Microsoft Create a Next Generation Law Enforcement Big Data Solution
Big DataPredictive Analytics

NYPD and Microsoft Create a Next Generation Law Enforcement Big Data Solution

AlexOlesker
AlexOlesker
4 Min Read
NYPD and Microsoft Create a Next Generation Law Enforcement Big Data Solution
Illustrative image generated with OpenAI gpt-image-1.
SHARE

With an emphasis on surveillance, evidence, and reporting, law enforcement is an extremely data-intensive field and the New York City Police Department, as the largest agency which deals with the largest American city, has the most data to handle.

With an emphasis on surveillance, evidence, and reporting, law enforcement is an extremely data-intensive field and the New York City Police Department, as the largest agency which deals with the largest American city, has the most data to handle. Lately, with the NYPD’s greater focus on counterterrorism and projects like the  Lower Manhattan Security Initiative to increase sensor presence at high-risk sites, the department has had even more information to deal with, leading it to partner with Microsoft and build a solution that can leverage it.

With Microsoft handling the coding and NYPD officers dictating the requirements, the Domain Awareness System was developed to aggregate and analyze existing public safety data streams in real time for investigators and analysts. Unlike many law enforcement data tools, the Domain Awareness System was, according to NYPD Commissioner Ray Kelly, “created by police officers for police officers.” In return for their help, Microsoft will give the NYPD and New York City 30% of the proceeds when it sells the system to other law enforcement and counterterrorism organizations.

The system has roughly 3,000 closed-circuit cameras connected to it, mostly in Lower Manhattan, some of which are privately owned and operated. It also pulls data from license-plate readers that can track the location of vehicles and multiple databases including non-NYPD intelligence sources. The system also integrates 911 calls, previous crime reports, and radiation detectors. Through an intuitive graphic interface, this information can be quickly queried together and mapped. Unless the NYPD chooses to archive it, video is stored for 30 days, license plate information and metadata is retained for 5 years, and environmental data will be kept indefinitely.

More Read

Are you brave enough to change your Data Habits?
Are you brave enough to change your Data Habits?
Behavioral targeting – Balancing what is possible with what is right
Why The Last Decade of BI Best-Practice Architecture is Rapidly Becoming Obsolete
New Generation of Enterprise Messaging Supports Digital Transformation
3 Ways Automation Tools Use Big Data To Drive Business Growth

The Domain Awareness System gives the NYPD a number of new, powerful capabilities. For example, if a suspicious package is reported, the department can find video footage from relevant cameras then rewind to see who left it there. More information can also now be queried and correlated across time and space to reveal patterns and trends. Investigators can also use license plate readers to track down a suspect’s vehicle, discover where it has been, and monitor its movements. While these and countless other powers will make investigations, criminal analysis, and resource planning easier, civil libertarians are already uneasy with surveillance reminiscent of  ”Big Brother.”  The NYPD assures privacy groups that facial recognition will not be used, that only information currently being collected separately will be integrated into the Domain Awareness System, and that only public areas will be monitored. The Domain Awareness System, unlike similar Big Data solutions in cities like Los Angeles, also does not appear to have a predictive component. You can read the full press release here.

This post by AlexOlesker was first published at CTOvision.com.

TAGGED:Domain Awareness Systemlaw enforcementmicrosoftNYPD
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Flat editorial illustration: The article connects commercial drone capture with integrated software workflows that organize and r
Drone Technology as a Business Investment: Calculating ROI, Costs, and Long-Term Value
Business Intelligence Marketing Software
Flat editorial illustration: The article connects weekly technician productivity and related shop metrics to timely scheduling an
Workforce Analytics for Auto Repair Shops: Reading Technician Productivity Weekly
Business Intelligence Exclusive
Flat editorial illustration: A business-editorial depiction of two account-growth routes: data-guided targeted advertising and cr
Targeted Ads and Cross-Promotion: Using Audience Segments and Platform Statistics to Grow
Exclusive Social Data
Flat editorial illustration: Business and SaaS-editorial concept: a prospective development team proves its fit by testing a boun
Hiring a Dedicated Development Team for Your Existing Stack and Delivery Process
Development Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Your Guide To Using Big Data For Microsoft Dynamics Projects
Big DataExclusive

Your Guide To Using Big Data For Microsoft Dynamics Projects

6 Min Read
Memo to Steve Ballmer: Just Ask Them!
Data Mining

Memo to Steve Ballmer: Just Ask Them!

4 Min Read
A review of “The History of Business Intelligence” by Nic Smith
Business IntelligenceData Warehousing

A review of “The History of Business Intelligence” by Nic Smith

7 Min Read
#16: Here's a thought...
Data Visualization

#16: Here’s a thought…

7 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

ai chatbot
How AI Website Chatbots Improve Customer Support and Lead Generation
Chatbots Exclusive
AI chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-26 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?