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Nels Hoenig

Nels Hoenig
Profile picture for user nhoenig

Member for

12 years 1 month

Nels has been part of PNM Resources now for over eight years and loves being back west after many years in Ohio.

His interests include:

  • Big Data
  • Data Analytics
  • Data Security
  • Performance Testing
  • Testing Automation
  • Root Cause Analysis

Nels has been able to lead a number of exciting projects at PNMR including:

  • Upgrade to Quality Center to be ALM
  • Selection and implementation of LoadRunner
  • Deploying and managing SiteScope
  • Deploying and managing Unified Functional Test (UFT)
  • Deploying Splunk for IT Systems monitoring
  • Using Crowdsource technics to improve the quality of our public website
  • Driving unplanned down time of critical systems down by more than 80% in less than 2 years 
  • Introducing the use of Big Data concepts to better understand the information hidden in the data
  • He is the founder of the Big Data peer group at the NMTC

Nels is a senior member of the American Society for Quality (ASQ) and holds a number of certifications including PMP, CSQE, CQM/OE.  

Company
PNM Resources
Job Function
Quality Assurance
Job Title
Quality Assurance Architect
Industry
Manufacturing - Utilities - Communications (Non-computer)
Interests
Business Analysis
Leadership
Performance Testing
Process Improvement
Project Management
Quality Assurance
Requirements
Test Automation
Testing
Big Data
Country
United States
Profile picture for user nhoenig
Nels Hoenig

Nels has been part of PNM Resources now for over seven years and loves being back west after many years in Ohio.

His interests include:

  • Big Data
  • Data Security
  • Performance Testing
  • Testing Automation
  • Root Cause Analysis

Nels has been able to lead a number of exciting projects at PNMR including:

  • Upgrade to Quality Center to be ALM
  • Selection and implementation of LoadRunner
  • Deploying and managing SiteScope
  • Deploying and managing Unified Functional Test (UFT)
  • Using Crowdsource technics to improve the quality of our public website
  • Driving unplanned down time of critical systems down by more than 80% in less than 2 years 
  • Introducing the use of Big Data concepts to better understand the information hidden in the data

Nels is a senior member of the American Society for Quality (ASQ) and holds a number of certifications including PMP, CSQE, CQM/OE. 

All Articles by Nels Hoenig

All Stories by Nels Hoenig

Car dashboard with various meters and dials 5 Key Elements for Designing a Successful DashboardWhen you’re designing a dashboard to track and display metrics, it is important to consider the needs and expectations of the users of the dashboard and the information that is available. There are several aspects to consider when creating a new dashboard in order to make it a useful tool. For a mnemonic device to help you easily remember the qualities that make a good dashboard, just remember the acronym “VITAL.”
Computer showing data analysis Rookie Mistakes in Data AnalyticsIt's easy to make simple mistakes in data analysis. But these little mistakes can result in rework, errors, and—in the worst case—incorrect conclusions that lead you down the wrong path. Making small process changes can help you steer clear of these mistakes and end up having a real impact, both in the amount of time you spend and in your results. Here are some tips for avoiding rookie mistakes in data analytics.
Score being shown at a baseball game More Than a Score: Taking a Deeper Dive into Your MetricsOne key benefit of metrics is that they can be measured using a standard process; we can explain the numbers, and leadership can understand what that means. The downside is that it is only a measurement, so issues can easily hide until they become problems, and great work can also go unrepresented. Sporting events are a great example: The end score tells you who won, but not the details of the game. We need to look deeper.
Eyeglasses bringing data on a computer screen into focus Finding the Information inside Your DataData analysts have to know a lot about diverse business areas so that our reports provide usable information, not just data. We can use this awareness of the value of information to merge different data sets in order to answer new questions, and even help our users make better decisions. But in order to do this, we need to present not just the data, but the information value represented in that data.
Woman holding a magnifying glass to her eye Become a Data DetectiveRapid changes in data availability and analysis tools are leading to evolving expectations for the data analyst role. We can do much more than just generate reports; we have the opportunity to not only process data, but convert it into understandable information and use the knowledge revealed by our work to help change happen.
Icon of a dial showing good system performance Measuring the Performance of Your Operations CenterMany organizations have problems with consistently tracking and measuring system outages. Issues aren't logged, admins make changes to systems without going through change management, and a high number of issues turn out to be recurring problems. Implementing a performance measurement process calculates system reliability and can help you improve consistency.
Puzzle pieces being put together to spell "Usability" Testing to the Usability Standards Our Customers ExpectAllowing minor defects to be included in releases impacts our customers’ perspective on software professionalism. We’ll never catch every weird, obscure bug, but there are some design elements where they tend to lurk. By focusing our testing efforts on these areas—or at least not neglecting them—we can catch more issues before our customers do.
Monitoring dashboard with criteria set up Solving Production Issues Using Testing ToolsStandard web-monitoring tools can ping webpages and verify that they’re responding, but they don’t alert you to an issue. But you can use the technology in load testing to monitor your sites by running an interactive script that can detect issues and generate emails as needed. It runs constantly like a silent sentry, never sleeping or taking a vacation, improving your sites' reliability.
Fraying rope Designing a Valuable Stress TestIf you're in a line of e-commerce that sometimes experiences site-crashing levels of volume, executing periodic stress tests is part of a good business plan. Nels Hoenig works for an electric company, so for his site, the main source of stress is power outages. Here, he details his search for a stress-testing tool, what he learned from the tests, and how he convinced others of the value of these tests.
Big data Big Data’s Relationship with Business Intelligence and Data WarehousingYou’ve probably heard the buzz about big data and business intelligence data warehouses. Both deal with collecting information for analysis, but how are they different? When should you use one or the other? This article explains these two data solutions in a user-friendly way with real-world examples.
Just Load Testing Using Load Testing Tools for More Than Just Load Testing

System load testing tools are well known for understanding how your system will perform under different scenarios—but that is not all these tools can do. This article looks at the ability to gain critical information from your production systems using the abilities that are included in these tools.
Crowdsourced Testing Using Your Own Crowd for Crowdsourced Testing

A company used crowdsourced testing as part of the testing process when redesigning its website. This testing employed internal resources to achieve the benefits of crowdsourced testing at a greatly reduced cost and provided the added benefit of getting company employees used to the new site. Read on for a review of the process.