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Jun
14
2017

Creating an Environment of Engaged Employees

By April Resnick

Many leaders might be tempted to address efficiency and efficacy issues by asking for a larger workforce. This conclusion does not have a complete lack of logic – More employees should be able to handle a larger workload, and if each employee’s workload decreases at the same time, the end products should be higher quality, right? Unfortunately, hiring more to handle an increased volume is rarely a feasible option because of budget constraints.

Rather than focusing on quantity, security leaders can improve their clearance processes by focusing on employee effectiveness and changing organizational culture.

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May
17
2017

Success and Sustainability -- How to Ensure Lasting Results with Security Process Improvement

By Dan Jodarski

Click the links to read the first two blog posts in this series:
How to Visualize Your Process
If You've Got 99 Problems (Then Prioritizing is One of Them)

Now that you’ve developed a clear and comprehensive picture of the current state of your security operations and have a prioritized list of risks and solutions, it’s finally time to act on your findings. The process improvement plan that you've created should be launched and implemented with as much care as you would put into a project that you are delivering to external stakeholders. There are many keys to achieving success in project management and maintenance - in fact, we've published an entire guide on the nuts and bolts of this topic.

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May
10
2017

If You’ve Got 99 Problems (Then Prioritizing Is One of Them)

By April Resnick

 

While the visualize phase establishes a common understanding of problems and potential solutions, the prioritize phase ensures that resources are channeled into the areas that most influence your bottom line.

Click here to read the first blog in this series: How to Visualize Your Process

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Apr
26
2017

Wipe the Dirt off Your Data

By April Resnick


In the last decade the words “big data” have revolutionized the way organizations, in all industries, make decisions. With huge amounts of data available, both corporations and federal agencies have actively focused on exploiting data in order to be better equipped.

As a result, data has become a key driver in decision-making processes. Therefore, now more than ever organizations must ensure the integrity and quality of their data. Remembering that “good” data leads to good decision-making and bad or “dirty” data leads to bad decision-making. (Dirty data consists of inaccurate, incomplete or erroneous data).

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