Insight by Leidos

The Justice Department as a data entity

The Justice Department has an often under-appreciated range of missions. But it encompasses everything from the investigation of crime and national security threats, to the prosecution of wrongdoing, to the incarceration of federal convicts, to their eventual release and parole. It supports non-federal law enforcement and it runs programs to compensate crime victims. All of that is in addition to its job of controlling legal, but often illegally-used, weapons and controlled substances.

All of these activities generate data. And like many large agencies, Justice officials want to use the disparate data sources to better analyze trends, improve internal operations and efficiency, and offer better services to Justice’s constituencies.

In this interview, Alex Martinez, the vice president and division manager of information technology at Leidos, describes in detail the extent of Justice data holdings. He explains that the first order of business is bringing visibility into the holdings so that data scientists, the CIO organizations and program managers know what they’ve got. Only then can they work together to devise new ways to apply data, and choose the analytical tools to better understand all of the application-generated data.

The first segment of the interview also delves into the use of legacy application data, and how to use it apart from the original application.

In the second segment Martinez discusses the requirements of the technology necessary to support more comprehensive data usage, what Leidos terms contemporary core IT services. A data-oriented infrastructure – which increasingly encompasses commercial clouds – presents a challenge. Namely, how to update networks and other services so they better support data storage, discovery and analysis.

In segment three, we discuss the user experience in the data age. For example, how to give Justice mobile users, such as FBI or ATF field agents, a seamless, intuitive experience on devices. The user experience also extends to the challenge of improving cybersecurity without putting on undue or cumbersome logon or access procedures. This section also delves into how the data-centric IT approach backs up to new, agile application development methodologies.

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