Your Data Literacy Guide to Improve Everyday Collaboration

The world of data analytics is changing faster than ever. And government employees have to keep up or get left in the dust. By 2024, 60% of government data analytics and artificial intelligence (AI) projects are predicted to directly impact real-time operational decisions and outcomes. As public servants, you need to increase your literacy of the larger data ecosystem to do your jobs efficiently and effectively. This guide will help you learn four key competencies inspired by that lifecycle so you can enhance everyday collaboration and bring continuous improvement to your team and agency. The four key competencies are data visualization, data storytelling, automation and innovation. With the help of experts who do this work every day, here are best practices to help you better use and share data at work. According to the Federal Data Strategy 2021 Action Plan, “By the end of 2022, agencies should have a solid foundation throughout their workforce, including a minimum level of data literacy among all staff and a sufficient accumulation of data skills to allow for effective performance of all aspects of the data lifecycle.” Download the guide to learn how to reach these goals with the four key competencies.

 

Data Literacy for Government Transparency

“Technology has changed so much, but our skill sets haven’t kept pace. People and organizations that previously didn’t use data all that much suddenly have to start using it at a more advanced level. That’s why it’s imperative to establish a data literacy program at your agency. First, it needs to be agile. Data training cannot be a one-and-done deal. Second, have accessible assessments. Are you developing sustainable programs that meet people at the skill levels they’re at? And are you assessing the actual skills of your target audience, or the employees who are impacted by data? Third, co-design, or design solutions with users and stakeholders from the start. People can resist change especially when they are not involved in it. When you build data solutions or programs, you need the perspectives of users to inform the journey, particularly when they’re non-data experts.”

Read more insights from Tableau’s Senior Manager of Customer Success, State and Local Government, Nongovernmental Organizations (NGOs) and Higher Ed, Sarah Nell-Rodriquez.

 

What Story Is Your Data Telling?

“Let’s say defense analysts are trying to connect the dots around terrorist activity. Using various data points such as bank account numbers, location coordinates, equipment types and names, analysts can derive a cohesive “story” from the data that aids the mission. To do this, traditionally, analysts combed through data from various sources — spreadsheets, databases, cloud storage, etc. — to manually input into an Excel file and then make connections between the fields. ‘To get to a story or result on one particular mission-critical use case, it was taking six to nine months of two full-time employees just combing through this data,’ said MarkLogic’s Eric Putnam, who has worked in the U.S. defense community. In other words, this manual integration was taking too much time and too much effort.”

Read more insights from MarkLogic’s Senior Account Executive for National Security Programs, Eric Putnam.

 

How AI Opens Up Other Types of Data

GovLoop Data Guide Blog Embedded Image 2022“Imagine you have a massive cache of digital family photos, and you’re looking for images of your child’s kindergarten graduation. Sure, it’s great having all those photos on the computer, but unless you tagged them in some way, there’s no quick way to find what you need. This dilemma mirrors how valuable information can be so difficult to find when it comes in the form of ‘unstructured data.’ Unstructured data includes images, video, audio and other types of information that cannot be stored in traditional databases or analyzed with traditional data tools. Structured data appears in rows and columns that are clearly labeled, making it easy to sort and analyze. Unfortunately, that’s not the case with unstructured data.”

Read more insights from Micro Focus Government Solutions’ Senior Solution Architect for AI/ML/Data Privacy/Data Governance, Patrick Johnson.

 

Finding the Solution in Unexpected Places

“Democratized analytics is the technological capability that enables data workers of various technical skill levels to leverage data and share its insights with other employees of various skill levels. Put simply, it’s analytics accessible for and inclusive to all. Unified analytics is technology that allows data workers to perform the entire analytic life cycle in one place. From data prep and blend, which identifies and combines data for descriptive, predictive and prescriptive analytics, to machine learning, an advanced form of AI that gets smarter over time — unified analytics allows a range of data transformation processes to be done in a single location, no matter the data source or type. No-code/low-code analytics is analytics that does not require coding skills to prep, clean, analyze and share data. And we’re not talking spreadsheets here.”

Read more insights from Alteryx’s Director of Solutions Marketing for the Public Sector, Andy MacIsaac.

 

Let’s Get Back to Basics for Collaboration

“Everyday work is more than what happens at the task level. You may think updating spreadsheets and responding to emails are low-value chores, but these and countless other tactical to-dos impact how the larger mission is carried out. How task-level activities get done reflect the health and success of strategic-level goals and initiatives. However, some federal agencies are missing out on the efficiencies and insights that can be captured at the tactical level. A survey commissioned by Smartsheet, a cloud-based work management platform provider, found that 76% of government officials estimate that using collaborative work management software could increase their organization’s efficiency. However, nearly one in three federal workers today are prevented from achieving success because their teams are siloed. Federal workers need visibility and access to information if they’re expected to collaborate with others and make informed decisions.”

Read more insights from Harvard Kennedy School’s Senior Advisor for Insight Partners and Senior Fellow, Nick Sinai.

 

Download the full GovLoop Guide for more insights from these data literacy thought leaders and additional government interviews, historical perspectives and industry research on the future of data.

Adapting with Evolving Higher Education Challenges

For many colleges and universities, the global pandemic served as a wake-up call for more innovative teaching models. They quickly discovered that remote learning is no longer an occasional tool for specific situations. Instead, a mix of in-person and online platforms has become an imperative to ensure digital equity and educational excellence. Even before the pandemic, researchers cited the importance of course design and the need for a pedagogical shift to ensure success in blended learning. Now, many believe that as faculty and students become more proficient with the technology and adapt to online education, outcomes will improve. Close collaboration between faculty and technology teams is also important as both groups adapt to new teaching models. To ensure clear communication, many institutions will need to invest in cameras, microphones and speaker systems, and many classes may benefit from a technology assistant who keeps track of the messages students post and resolves any technical issues. Incorporating such modern tools alongside institutions’ legacy solutions presents a diverse set of challenges. In the Campus Technology survey, staying within budget constraints (44%) was the top challenge cited by respondents, and it goes hand in hand with choosing the right products, services and solutions (41%). Technological challenges also include getting legacy and modern solutions to work together (36%), sharing data between legacy and modern systems (27%), and managing and securing a diverse IT ecosystem (25%). Learn how, by investing in further modernization, your institution can boost its ability to meet current demands while maintaining flexibility to respond to the unknown challenges ahead in Carahsoft’s Innovation in Education report.

 

Embracing the New Normal in Higher Education

“By allowing students of different backgrounds, perspectives, and ages to interact with one another, a hybrid or HyFlex approach enriches the classroom experience. That flexibility should be used as a recruitment tool: By offering a range of options for in-person and online learning, institutions can dramatically expand their reach nationally and even internationally. The success of the new normal in education hinges on being able to measure student engagement. In a face-to-face classroom, instructors can note whether students are making eye contact and how many of them are raising their hands or asking questions. At Class Technologies, we enable instructors to bring that same emphasis on student outcomes into an online format.”

Read more insights from Class Technology’s Senior Director of Advocacy and Community, Dr. Kim Oppelt.

 

Using Data Analytics to Enhance Student Services

“In addition to automation, artificial intelligence can transform the way colleges and universities provide services to their students. When higher education leaders understand the value and availability of AI, they can create a vision for its adoption. Then data analysts can use AI to accelerate the institution’s delivery of student services and improve its ability to predict outcomes early, enabling educators to address trouble spots early or invest in key initiatives. With AI, analysts can focus at the level of the entire student population, a certain demographic profile or the individual student. For example, AI can integrate with a campus learning system to identify students who may be at risk of dropping out. To be successful, AI must be part of an institution’s overall data management strategy, and the IT infrastructure should be built or updated to support that strategy.”

Read more insights from Cloudera’s Senior Solutions Engineer, Brian Hagan.

 

A Cybersecurity Mesh Speeds Digital Transformation

“Research firm Gartner defines a cybersecurity mesh as a “flexible, composable architecture that integrates widely distributed and disparate security services” — in other words, it enables institutions to leverage a suite of complementary tools. A mesh architecture creates efficiency and greater coverage across the digital surface, while enabling the IT team to understand what’s happening on its network and better prepare for the next cybersecurity event. This concept can also reduce the number of point security solutions and products. To make the business case for taking that approach, focus on demonstrating return on investment. A mesh architecture reduces costs because it consolidates tools and services while simplifying digital transitions. The mesh components will enable standardized training and raise the bar on knowledge transfer across the distributed IT environment.”

Read more insights from Fortinet’s Field CISO for Education, Bob Turner.

 

Why Student Experience Equals Student Success

IIE Campus Tech June Evolving Higher Ed Challenges Blog Embedded Image 2022“Student needs are so individualized that a single, one-size-fits-all approach to services is ineffective. Institutions need systems that can constantly learn from students as they’re navigating their experience on campus and then take student-specific action. Qualtrics’ experience management platform enables students to share feedback in a host of different ways and then crucially, pairs that data with internal systems to help institutions gain a holistic view of those students. Campus leaders can listen, understand and act through a platform that gathers information and converts it into real-time insights for decision-makers. In addition, the Qualtrics platform uses artificial intelligence to help schools understand what friction points exist in the student journey and then helps to automate actions, such as connecting students with the right resources, at scale. By giving the right people the right information at the right time, AI enables institutions to intervene at the moments that matter most. It also helps decision-makers measure the impact of those actions.”

Read more insights from Qualtrics’ Vice President Higher Education Strategy, Joshua Sine.

 

Pivoting to Continuous Modernization in Higher Education

“Continuous modernization involves making small changes and regularly deploying those changes under a methodology called continuous integration/continuous deployment (CI/CD). Users try out new features, and developers get immediate validation and testing throughout the entire process, which results in targeted and ongoing improvements. Another key element is automation. When rote tasks such as spinning up virtual machines, configuring networks or resolving users’ help tickets are automated, IT administrators can focus on more complex activities, such as improving processes or incorporating new technologies. In addition, containerization makes it easy to migrate applications and workloads back and forth from on-premises systems to the cloud as needed.”

Read more insights from Red Hat’s Chief Architect for Education and the North America Public Sector, Damien Eversmann.

 

Using the Power of Data to Support Collaboration

“Data analysis can help institutions gain a fuller understanding of their cybersecurity posture. For example, it can enable risk-based alerting, so staffers are not overwhelmed with security alerts that aren’t important. In addition, many institutions are merging their development, security and operations cycles in a methodology called DevSecOps. That collaborative approach ensures that security is an integral element of IT systems rather than an afterthought. Collaboration also results in deeper insights. When institutions can access and analyze student experience and outcomes, they have a much clearer picture of what they need to do from a strategy and planning perspective to enhance academic programs and student services.”

Read more insights from Splunk’s Strategic Advisor, Frank Myers, and Business Development Manager, Elizabeth Thompson.

 

A Data-Informed Approach to Recruiting and Retaining Faculty

“UT Austin has a strong commitment to nominating faculty for major awards across racial and gender lines. However, we wanted to pinpoint any gaps in the nomination process to make sure we retain talented faculty members by recognizing a diversity of research. We chose to partner with Tableau because the company offers a user-friendly process for developing self-service dashboards. In this case, an awards analysis dashboard helps us quickly identify under-awarded faculty in each department and drill down into race/ethnicity and gender information. As a result, we have achieved better equity in the awards nomination process and improved our faculty recruitment and retention efforts.”

Read more insights from the University of Texas at Austin’s Chief Data Officer and Executive Director of Institutional Reporting, Research and Information Systems, Shiva Jaganathan.

 

Creating a Single Source of Data Truth

“The ability to make those kinds of informed decisions hinges on robust data sharing. Unfortunately, many institutions still lack consistency in data access and management. And when data exists in silos, there is no single source of truth. Breaking down silos to give end users the power to do their own research is crucial, and that culture change starts at the top. Leaders must drive the demand for universal access to data so that everyone can be confident in the data they’re using and the decisions they’re making. ­At Tableau, our mission is to help people see and understand data. We continually enhance our product to ensure that decision-makers at all levels have access to the data and insights ­they need.”

Read more insights from Tableau’s Regional Vice President of Education and Nonprofit Sales, Cassidy Macias, and Vice President of U.S. Education Enterprise Sales, Adam Ingram-Eiser.

 

Discovering the Endless Possibilities of Automation

“From recruitment through graduation and beyond, automation can play a crucial role in ensuring that students have the experience the college or university wants them to have. Automation can help students succeed, and after they graduate, automation can be used to stay in touch — for example, by congratulating them on a new job when their LinkedIn profile changes and encouraging them to give back to the university. In the past couple of years, a mental health crisis has arisen in higher education, and many students withdrew from institutions or struggled to keep up with their studies. Tackling the issue should be a top priority in higher education because the crisis will continue for at least a few more years as people become accustomed to going back to campuses and in-person learning. Automated services can help institutions check in with students to see how they’re doing and connect them with mental health resources if necessary.”

Read more insights from UiPath’s Global State, Local and Regional Government Industry Lead, Dan Horan.

 

A More Immersive Experience for Students and Staff

“Zoom was a market leader in higher education even before the pandemic because our tools are affordable and easy to use. We have built a unified communications platform on top of our popular videoconferencing technology and, for the past two years, have focused on creating a superior on-campus experience by integrating communication across all operating systems and expanding capabilities via cloud telephony with Zoom Phone. For example, among many amazing features, using the Zoom application on a smartphone gives users the ability to have Zoom Phone voicemail messages transcribed and sent to their e-mail. In addition, while most people are familiar with the chat function that’s enabled during a Zoom meeting, we have a separate, robust Zoom Chat collaboration tool built into our unified communications stack. It allows users to create communication channels for particular projects or teams and conduct one-on-one or group chats.”

Read more insights from Zoom’s Global Education Marketing Lead, Johann Zimmern.

 

Download the full Innovation in Education report for more insights from these IT modernization thought leaders and for additional industry research from Campus Technology.

Digital Transformation in Higher Education

The past year has accelerated a digital transformation in higher education with the pandemic forcing a move to remote work and online learning while leveraging modern cloud infrastructure. As the future of education becomes increasingly digital, having a secure, reliable data platform that helps deliver better services and streamline business processes with increased transparency is imperative for all education stakeholders. Two case studies illustrate how different universities make use of data platforms, analytics, and dashboards.

University of Texas at Austin

Nearly every decision at the University of Texas in Austin is based on the data that is available to them. So everyone needs the right information to make the decisions at any given time—and they need it in easy-to-understand dashboards. The university has an arsenal of dashboards that they have developed for use by specific groups, reducing the number of data requests that IT staff receive.

When the pandemic hit, the university wanted to disseminate information as diligently and quickly as possible. One dashboard provided information on positive COVID tests and another on the number of vaccinations administered. They are updated every day, so every university department can make adjustments as necessary.

The University has a survey group that sent quick, easy surveys to students, faculty, and staff that provide key metrics for decisions about class structures and social distancing measures. Since the school has limited campus space, they are using the information to consider whether to offer large classes online after the pandemic.

Tableau Higher Ed Digital Transformation Blog Embedded Image 2021Faculty Retention

UT Austin also uses analytics to recruit and retain top-performing faculty, which is key to long-term success. The university recognizes faculty by nominating them for prestigious awards. However, most universities have a perception-driven nomination process, which is not necessarily equitable.

The university initiated a data-driven approach to evaluate who should be nominated based on merit—and who has the best chance of getting those awards. They built a custom dashboard, which has filters for department, gender, race, ethnicity, academic rank, etc. It also includes indices for scholarly research and faculty productivity. Plotted on a graph, the analytics revealed faculty members who were actually quite productive but had not been nominated for awards. Recognizing the value of data driven decisions, the school used that data as a starting point for conversations about award nominating committees.

New York University

Since New York City was hit hard early on in the pandemic, NYU was required to take fast action. A big, complex organization like a university can easily slip into siloed operations. To avoid siloes and improve decision-making, the university built dashboards to help senior leadership identify and quickly address the new issues they faced.

Having trustworthy data services has proven to be the foundation for their success. Previous investments in providing usable data services paid off when they entered crisis mode. They leveraged this foundation to allow consistency and transparency across the school. As a result, NYU stayed open throughout the crisis, even during the peak. Their positive rate of infection stayed consistently lower compared to New York City. The school’s administrators remained connected throughout to make critical strategic and operational decisions in a collaborative manner. Technology played a vital role to help achieve those goals.

Providing Vital Analytics

NYU needed two streams of data for different audiences. The NYU hub is accessible for anyone to Google and search for up-to-the-minute information. The embedded analytics portal uses the best practices of web development and their data governance platform to categorize workbooks into macro categories at the university senior leadership level. From the operational perspective, this portal helped plan and monitor the return of students. Throughout the term, it evolves and keeps the school’s strategic vision in mind.

Fighting Covid with Data

For the purposes of contact tracing, NYU used a mixture of all tools available, including swipe access records, class enrollment data, schedules, etc. If there was a positive case, the school could determine where this person has been based on their swipe access, so they could identify who else might have been exposed and contact them.

Since students had to be socially distanced, the school could not utilize all the space available within the campus. With the right apps, NYU was able to maximize the use of space available and curtail under-utilized spaces to conserve costs. The system also helped manage students who were checking in to housing and ensuring that they were all following their compliance directives.

Compliance Reporting

NYU needed to do compliance reporting to New York every day to New York State. They gathered data from a variety of sources—the HIPAA compliant source via API platform, other internal third-party data sources—and aggregated them together into a visualization, which was publicly made available dashboard to everyone. This also let them keep tabs on their positivity levels over time.

 

View our full webinar and learn more about Tableau supports higher education initiatives during the Covid-19 pandemic.

Best of What’s New in Health and Human Services

The COVID-19 pandemic is forcing dramatic modernization. Driven by urgent social distancing requirements, Health and Human Services (HHS) organizations virtualized an array of services that traditionally have been performed face-to-face, and unlike typical HHS modernization projects, these changes happened with unprecedented speed. And although these moves were made in immediate response to the COVID pandemic, they’re likely to have long-term impacts on the digital experience for HHS clients, how and where HHS staff members work, and how these organizations purchase and deploy technology. Pandemic-driven uptake of virtual work and digital services could have long-term positive impacts on HHS workforces and the clients they serve; internally, these changes could improve employee satisfaction and retention within HHS organizations. Learn the latest insights from industry thought leaders in healthcare in Carahsoft’s Innovation in Government® report.

Focusing on Outcomes that MatterIIG GovTech September 2020 Health Blog Image

“One place that organizations get stuck is in ‘good enough.’ Unless something’s horribly broken, they stay with what works today instead of pursuing continuous improvement cycles that include customer satisfaction. Organizations that are satisfied with their current operation and their current level of service tend not to want to adopt — or can’t adopt quickly — opportunities that digital technology can offer. Change is exponentially more difficult to execute without a culture that pursues excellence in service quality. To foster a culture that responds to and embraces change, it’s important to adopt a quality approach like Lean or another continuous improvement cycle.”

Read more insights from Salesforce’s Health and Human Services Industry Executive, Rod Bremby.

 

Using Data to Lead Through Change

“The reality is there will never be a truly perfect dataset. Early in the pandemic, I supported agencies that knew their data wasn’t perfect, but they also knew they had to save lives. They executed without hesitation; they built analytical dashboards and evolved them as processes and data collection capabilities improved. That approach enabled them to make increasingly better, more rapid decisions. Other agencies are still working through multiple iterations to get their data and reporting just right; meanwhile they are not making data-informed decisions. This pandemic has proven that it’s the unknown questions that we discover along the way that create change and ultimately drive progress.”

Read more insights from Tableau’s Senior Manager of Solution Engineering, Anthony Young.

 

Virtualization: Rapid, Flexible and Cost-Effective Path to Digital Transformation

“Organizations that are most effective in modernizing their application portfolios do three things well: 1) crafting an application modernization strategy to identify what to modernize and how to do it; 2) crafting a cloud strategy to determine how to integrate cloud services into their modernization strategy; and 3) standardizing on a single platform to build, run, manage and secure applications running in a multi-cloud environment. This platform provides a single pane of glass through which organizations can develop and deploy modern container-based applications across a multicloud environment. Virtualization technologies for things like cloud load-balancing, firewalls and software-defined networking further enable organizations to integrate cloud services with their on-premises workloads while providing robust end-to-end security.”

Read more insights from VMware’s State and Local EducVMwareation Strategist, Herb Thompson.

 

Integrating the Continuum of Care

“Enterprise iPaaS helps integrate disparate or hybrid architectures across the continuum of care. It provides a single instance, multitenant architecture that frees organizations from having to do things like manage code versions. iPaaS also lets organizations modernize without replacing everything they currently use. They can augment and move forward to support low code, agility, and intelligence and insights. That creates a very high return on investment because organizations can focus on their business initiatives and clinical or business outcomes instead of undertaking enterprise IT projects.”

Read more insights from Dell Boomi’s Healthcare CTO Evangelist, John Reeves.

 

Improving Citizens’ Digital Journey Through HHS

“The two key pillars of creating exceptional digital experiences are content and data, and artificial intelligence (AI) and machine learning (ML) can help with both. Using AI and ML, organizations can automate repetitive tasks that prevent them from producing and personalizing content at scale and on every single device. For example, organizations can use the Dell Boomi Enterprise IPaaS platform to automate aspects of website design, layout and creation, as well as the conversion of PDFs to adaptive interactive forms. In terms of data, organizations can use AI to sift through volumes of data and unlock insights that help them understand customers, predict trends, monitor unusual activity and act faster.”

Read more insights from Adobe’s Health and Human Services Director, Megan Atchley.

 

Re-Imagining Healthcare

“Organizations can use AI and ML to look at data in its entirety and automate processes that improve the patient experience and patient care. In addition, AI and ML can help healthcare organizations understand and improve revenue cycle management and internal operations. Chatbots are another emerging technology. With the appropriate bot framework, organizations can quickly develop intelligent, automated questionnaires that patients can step through to find out whether they need a COVID test or a checkup, for example. The chatbot uses their responses to move them to the next appropriate step in the care plan. Collaboration technologies also have become more important for effective virtual visits with patients and for virtual consultations between clinicians.”

Read more insights from Microsoft’s U.S. Chief Medical Officer, Clifford Goldsmith.

 

Download the full Innovation in Government® report for more insights from these healthcare thought leaders and additional industry research from GovTech.

Best of What’s New In Data, Identity and Privacy

Last year, state lawmakers across the nation introduced hundreds of privacy bills. One of the most prominent pieces of legislation — the California Consumer Privacy Act (CCPA) — took effect in January, marking the first of potentially many state-level attempts to emulate the European Union’s groundbreaking General Data Protection Regulation (GDPR), which gave EU residents more control over how organizations use their personal information. All of this points to a dramatic shift in how state and local government agencies must manage and protect data. Fortunately, technology tools available to help the public sector address privacy challenges are growing smarter and more sophisticated. Learn the latest insights from industry thought leaders in Data, Identity and Privacy in Carahsoft’s Innovation in Government® report.

IIG GovTech July 2020 Data Identity Privacy Blog ImageProtecting the Data That Matters Most

“Organizations should avoid the temptation to skip requirements and get things out there quickly. This crisis forced organizations to establish work-from-home policies overnight. Work-from-home technologies — whether employee-owned or government issued — must incorporate the organization’s security processes and policies around sensitive data. Government-issued laptops should have remote access capability to keep OS and security product patches up to date, ensure VPN connections are working and generally maintain security standards. It’s also important to conduct and continually reinforce security awareness training focused specifically on working at home or remotely. Then, make the new normal as simple as possible; have everything in place for users to just basically turn on their laptop and log into the system.”

Read more insights from Dell Technologies’ Chief Strategy and Innovation Officer of State and Local Government, Tony Encinias.

 

Simple, Smart and Fast: Search-Driven Analytics for Data Privacy and Compliance  

“Clearly defined use cases are critical. What questions do agencies need to answer to fulfill their mission, and what data do they need to obtain those answers? Once you find that data, how do you store it, and how do you track compliance requirements on that data? How do you enable data sharing and transparency without interfering with privacy and security? Another critical piece is the criteria and best practices used for tool selection. Can you get to granular levels of data and customize security clearances down to the role level or column level so you can govern who’s seeing what without having to create duplicate data lakes for each department? That can create a lot of economies of scale and enable organizations to more easily and confidently share data across agencies.”

Read more insights from ThoughtSpot’s Senior Director of Global Public Sector and Industry Alliances, Helen Xing.

 

Using a Data-Centric Approach to Reduce Risk and Manage Disruption  

“AI and ML have a lot of potential to streamline privacy and compliance, but they also come with certain risks. For example, AI/ML require systems to be trained. If systems are trained inadequately or with inaccurate data, the result may be poor decisions that ultimately cause more damage than good. This is why, as discussions about the use of AI and ML continue, we expect to see more emphasis on accountable development and usage. In practice, this means having requirements around transparency of AI usage, decisions and data quality, as well as robustness in terms of AI security and resilience.”

Read more insights from Broadcom’s Global CTO and Chief Architect for Symantec Enterprise Division, Paul Agbabian.

 

Leading Through Change  

“People have been self-servicing analytical needs for years because they need to answer their own questions rapidly. But are people asking the right questions and are they doing all that in the most efficient digital forms? Proficiency is one of the core capabilities defined in the Tableau Blueprint, which is a prescriptive, proven methodology for becoming a more data driven organization. Proficiency speaks to the need to educate people to see and understand data for decision-making. That includes educating them on how to work with data, measuring the value that they derive from their use of data, and institutionalizing best practices that drive behavior change and informed decision-making.”

Read more insights from Tableau’s Senior Manager of Customer Success, Jeremy Blaney.

Download the full Innovation in Government® report for more insights from these Government Data, Identity and Privacy thought leaders and additional industry research from GovTech.