Contributors
Lost in Translation No Longer: Data Translators Bridge the Gap to the Mission

Lost in Translation No Longer: Data Translators Bridge the Gap to the Mission

Two main types of problems can make it difficult to make data-driven decisions: technical and cultural. Technical difficulties could include data that is messy, incomplete, or split between different departments or components. Cultural factors might include a resistance to change, an environment that favors trusting your instincts, or a belief that things are fine the way they are. 

How to Use Data to Drive Employee Engagement

How to Use Data to Drive Employee Engagement

When it comes to retaining your workforce, one feature correlates to 87% increases in retention and 57% increases in employee effectiveness. It is not compensation. It is employee engagement. Engagement measures an employee’s emotional commitment to an organization and willingness to use discretionary effort to achieve organizational goals. In other words, engaged employees strive to exceed the status quo. 

A Leader’s Most Influential Tool: Gratitude

A Leader’s Most Influential Tool: Gratitude

Gratitude is one of a great leader’s most powerful tools. It creates positive energy among an organization and the sense of appreciation permeates through the work the collective group is performing. Influential leaders listen to the needs of their colleagues and express gratitude. This helps them bring out the potential in the people they lead and inspire them to achieve what is most important to them and to the project.

The Design Era of Project Management

The Design Era of Project Management

Project Management best practices and methods continue to evolve to address the biggest challenges Government agencies face in today’s market. The increased use of Agile and the move from traditional waterfall methodologies is fairly common in Information Technologies. Projects use Agile methods such as Scrum or Kanban, and organizations invest a lot of time and effort to make this cultural shift on projects.

Data: Lost in Translation No More

Data: Lost in Translation No More

The rise of Big Data technologies and data-driven approaches of business functions has created a demand for data architects and scientists that is growing by as much as 12% annually. These highly technical resources and capabilities address part of the challenge, but organizations still struggle with how to effectively use the data they have to make timely and informed decisions to improve business and mission outcomes.