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Public Sector

Fairfax County

Public sector organizations are in the midst of an information explosion. Intelligence, financial services, and healthcare agencies face mounting challenges. The volume and complexity of data formats is rapidly expanding as political and regulatory environments continue to change. Public sector organizations should not have to operate with limited data, spend a vast majority of time managing or modeling data, or expend significant resources on software development. Agencies cannot allow the burdens of transforming data to limit information sharing. Organizations need a 21st century technology which can enable them to do more with less.

MarkLogic has a proven track record of success in the public sector. Many customers embrace MarkLogic to solve their Big Data challenges as they migrate away from traditional technologies like relational databases. These organizations are operationalizing data to help make faster, better decisions. Public sector organizations are building Big Data Applications that deliver real-time results. MarkLogic is at the core of mission-critical projects including programs that analyze intelligence, monitor transportation security, manage emergency response, and deliver high-value content to citizens.

Solutions for Public Sector

See how government customers use MarkLogic to create unique applications.

Director of National Intelligence

The Director of National Intelligence (DNI) was created in 2005 through the Intelligence Reform and Terrorism Prevention Act. The DNI serves as the head of the Intelligence Community (IC) to make sure that critical information is communicated between the different intelligence agencies. The DNI intelligence analysts rely on MarkLogic to sift through and organize the bits of complex data that comes through the agencies with the ultimate goal of keeping the country safe.

Using MarkLogic provides DNI with:

  • Functionality for powerful retrieval access
  • Analysis of these information sources
  • Deeper insight and more actionable intelligence
Federal Aviation Administration

The FAA uses MarkLogic to ensure that planes take off and land safely. In an emergency situation, quick access to information is critical – otherwise lives can be lost. MarkLogic integrates with the existing Emergency Operations Network to enable an emergency collaboration and data fusion environment with best-of-breed products at the FAA.

MarkLogic enables the FAA to:

  • Easily integrate with Microsoft SharePoint and fully supports Microsoft Office documents
  • Easily ingest information in a variety of diverse data structures
  • Use geospatial search and analytics in addition to real-time alerting to ensure higher relevance and timeliness of information

Read the press release

ENSCO

ENSCO uses MarkLogic to make available an archive of national security data stretching back decades. ENSCO easily integrated complementary technologies including optical character recognition (OCR), visualization tools, text mining, temporal visualization, and tag clouds.

MarkLogic provides ENSCO with:

  • A service-oriented architecture (SOA) as well as integration frameworks that enable building sophisticated solutions with lower development effort
  • A platform to ingest, search, and visualize massive amounts of unstructured information in a scalable, high performance, and schema-agnostic way
  • Sub-document granularity in search results providing future opportunities for repurposing content

See the demo

42Six Solutions

42Six Solutions created a cellular forensics web application to deliver the most advanced capabilities for data ingestion, enrichment, and analysis for the modern warfighter. Leveraging MarkLogic, this application enables intelligence fusion from numerous sources to facilitate positive identification of suspected and known persons of interest.

Using MarkLogic, 42Six Solutions was able to:

  • Build a scalable, agile architecture within six months
  • Rapidly ingest and export unannounced, heterogeneous data formats from cell phones
  • Simplify system architecture for lower development/maintenance costs
  • Maximize resources placed on user capabilities, not administration and development
Warrior Gateway

The Warrior Gateway serves as a trusted place where returning soldiers can locate the services they need. The journey from a war zone back to civilian life is greater than miles. It's an emotional and gut-wrenching trip that involves not only the soldier, but their family members, friends, and loved ones. Warrior Gateway eases the return for these veterans by identifying doctors, college classes, jobs – whatever services needed to re-enter civilian life without the hassle of going through stacks of paper or visiting a multitude of websites.

Using MarkLogic enabled the Warrior Gateway to:

  • Aggregates content from a variety of sources
  • Ingest numerous content formats with minimal administrative overhead
  • Deploy applications in record times, enabling the release of an initial beta site in only 10 days and a public beta site 30 days later.

See how Warrior Gateway uses MarkLogic to organize content and facilitate code deployment.

Business Benefits

Achieve Mission Success

  • Facilitate information sharing across agencies and departments
  • Focus on building mission-critical capabilities and Big Data Applications - not on building infrastructure
  • Make faster decisions by delivering continuous real-time access to a wide variety of data types

Reduce Risk

  • Deploy confidently with MarkLogic’s proven track record in mission-critical public sector Big Data Applications
  • Use optimum mix of open source & COTS software without vendor lock-in
  • Lower TCO through reduced development, operations & maintenance (O&M), hardware, power, space, and cooling costs

Deliver Projects on Time and Within Budget

  • Deploy applications in weeks, not months or years by reducing data modeling and integration efforts
  • Reduce (O&M) costs with low administrative overhead

Boost Performance & Scalability

  • Improve performance when using unstructured information by 10 to 100 times over relational databases
  • Search and analyze Big Data with sub-second response times
  • Scale out by simply adding commodity hardware servers to a cluster