Tag Archives: Big Data

Coordination is Key to CDO Success

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Chief Data Officers (CDOs) are one of the newer positions in government, but their role is quickly becoming one of the most critical. A CDO is charged with overseeing data-related functions, including data management, ensuring data quality, and creating data strategy. For government agencies, this requires close coordination with the Federal Data Strategy and the DoD Data Strategy.

Both of these documents define the specific roles and responsibilities of data officers and provide a framework for working with and securing data. Of course, each agency has unique requirements and missions, leaving the CDO to work out how to apply this guidance and standards to their organization.

Agencies are meeting these guidelines and integrating CDOs in different ways. The Department of Homeland Security (DHS) recently announced a department-level CDO office to better integrate data into its operations and those of other agencies. The need for this level of coordination was underscored as DHS launched a department-wide COVID-19 vaccination campaign in partnership with the Department of Veterans Affairs health centers. DHS needed to identify, contact and manage responses from workers, which meant collecting and reconciling many different datasets from across the department.

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The Growing Impact of IoT

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The use of Internet of Things (IoT) to manage infrastructure and services is not a new concept, but response to the new normal of pandemic life, natural disasters, and the implementation of 5G networks all could accelerate the implementation of IoT solutions.

Remote Management

Stay-at-home orders, social distancing measures, and backlogged inspection schedules all combine to make a great case for implementing sensors and other IoT devices as part of infrastructure management. With technology providing data on the status of equipment, facilities, and general infrastructure like roads and bridges, the need to deploy inspectors to the field can be minimized. In the short term, this reduces potential points of exposure for inspectors and field staff. Longer term, it adds a new "colleague" to field management teams. IoT can handle routine, low risk monitoring, freeing up humans to focus on more complex or higher priority tasks and activities.

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Tanks, Planes, Ships, and Data: Activating the DOD’s Data Strategy

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The battles of tomorrow will likely not be fought on the ground, they will take place in cyberspace as nation-states and rogue actors alike look to interrupt the everyday functions of a country via high-tech attacks. Recently we saw the Russian hack of software, designed (ironically) to help organizations monitor network problems and anomalies, which has the government and private companies scrambling to determine what data was compromised. With cyberspace being the new battlefield, data and data management have quickly become a strategic asset in the DoD arsenal.

Last fall, the DOD released the Department's Data Strategy. An overarching guidance on how they will manage, secure, and use data. This document supports the DOD's transition to "a data-centric organization that uses data at speed and scale for operational advantage and increased efficiency." The Data Strategy includes 7 goals, nicknamed VAULTIS, to becoming data-centric:

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Get to Know the CDO

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Chief Data Officer (CDO) may be one of the newest C-suite designations, and it's quickly becoming one of the most important. With data-driven government becoming a mandate via the Federal Data Strategy and the Evidence Act, accountability around data management is essential. More than just a way to check a compliance box, having a CDO is a smart business decision in a world where data is critical to how government organizations interact with constituents. However, having a CDO is only a start. The CDO needs to be set up for success as well.

One report indicated that 60% of federal CDOs lack a clear understanding of their role. According to Gartner, a CDO is a senior executive who bears responsibility for enterprise-wide data and information strategy, governance, control, policy development, and effective exploitation. This role makes sure data is secured appropriately for access, as well as privacy concerns, and sets the rules and processes for managing the data lifecycle. The CDO also develops solutions to use that data to create business value.

Even if the role is defined within an organization, CDOs report they lack budget authority or insight into what budget they have to complete their jobs. This mirrors what we have seen with another "young" position, CIOs. Chief Information Officers have seen their role elevated by its measurement in the FITARA scorecard, and with that tracking, are getting more budget authority and input. In addition to budget, CDOs also need the authority to set and enforce policies and processes across their organization and, in doing so, streamline communication among related groups. Continue reading →

No More Poker Face – Decoding Attendees’ Real-Time Reactions

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We've written here about how the government is looking at facial recognition to improve security and make access to places and data more efficient. While the policy and technology challenges are worked out within multiple government use cases, event planners can look to the same technology to improve how they deliver content and education.

As this article points out, surveys provide a snapshot of audience reaction to an event, but they do so in days, even weeks after it has wrapped. Additionally, there is a lot of effort that goes into getting survey responses back and analyzed, and even then, the sample size may not be statistically valid.

Good speakers and planners know the power of reading the room and adjusting on the fly to keep and increase audience interest and participation. But bright lights, sheer audience size, and general logistics make that problematic. Tracking social media can also provide a real-time pulse on how attendees are digesting and reacting to content. But getting this feedback is dependent on attendees using these platforms and using them in real-time. With facial and biometric technologies, event planners and marketers can remove these challenges and dependencies and collect attendee feedback without having to ask anything of those attendees.

Audience engagement tools using biometrics can identify attendees' emotions without identifying the face or person. In one implementation, video cameras mounted at the side of the stage film the facial expressions of the audience. This feed is run through AI-powered software to identify and track expressions of the people watching the stage and what emotion they are expressing (fear, anger, happiness, etc.). A raw look at this data is available, but within a couple of minutes the software can more fully analyze it and provide a quick view if the audience is reacting positively or negatively.

Following the event, speakers can go back through the data to see where there were emotional peaks. From there, speakers can update their content based on the points that made the most significant connection with the audience.

Pricing can vary depending on the type of technology used and the analytics being run. On average, costs fall in the $5,000-$10,000 range. Some companies offer pricing per attendee, and others have a flat fee. While this can be a large investment, if you weigh the cost of facial recognition against the costs associated with speaker fees, and the event budget in general, spending money to find the effectiveness of sessions makes a lot of sense for future planning.

What are your thought on using facial recognition technology for event planning and management? Have you tried it? Do you want to? Share your thoughts in the comments.