The Data and Measurement Issue - 12

CLIENT SPOTLIGHT:
* Determine data quality:
garbage in, garbage out.
How reliable are your data?
How " clean " are they? Are
they comprehensive enough
to provide a meaningful
insight? For example, posttraining
surveys returned by
only a few participants are
unreliable in determining how
the program is perceived by
the whole learning group.
Bringing data to life
After identifying and correlating the right data sources, our next step was to build a
user-friendly, single-source solution that effectively visualized the findings and provided
the insights for making decisions about necessary changes to the training footprint.
We recommend the following steps to anyone designing
a similar solution:
* Include qualitative data
to answer the " why. "
Numerical data inform us
of performance gaps and
potential opportunities for
improvement (the " what " ).
Yet they cannot show how
we got here and how we
move forward (the " why " ).
Qualitative data are crucial
when searching for actionable
insights. When used carefully
with reliable quantitative data,
qualitative data can help
reveal the reasons behind
the performance issues
highlighted by the numbers.
1. Select the right tool. Combining multiple data sources with different formats that
are hosted in various data warehouses or applications requires the right tool that can
bring together all your data under one roof and can offer the necessary capabilities
for data collection, mining, and visualization to process and present the data in a
meaningful way. Based on Delta's needs, we considered tools with capabilities such
as robust survey design (e.g., branching, filtering, advanced text analysis), advanced
visualization (e.g., highly configurable dashboards capable of combining multiple data
sources), and 24/7 access to up-to-the-minute live data on any device.
2. Consider your audience. Executive stakeholders and decision-makers are focused on
the business. They are not necessarily data experts. The focus should be on
translating raw data into information, and then the information into digestible,
intuitive, and actionable insights for stakeholders and decision-makers. This
translation is a key step to help bridge the gap for non-data experts when it comes to
understanding what the data mean, how they affect the operation, and what actions
should be taken.
about the author
Ani Matrai-Monk is a Senior Consultant at TiER1
with a passion for measurement and evaluation.
With an extensive background in both education
and business and a long history in the airline
industry, she designs practical solutions for learning
performance evaluation and long-term training
effectiveness and efficiency. Ani believes that even
the most complex problems have simple solutions
given the right tools, mindsets, and people.
Click or scan the QR
code to learn more
about Delta's approach
to complex data.

https://tier1performance.com/a-winning-approach-for-navigating-complex-data/?utm_campaign=Data%20and%20Measurement%20Magazine&utm_source=Performance%20Matters&utm_medium=PR&utm_content=Data%20and%20Measurement%20Issue https://tier1performance.com/author/a-matrai-monk/

The Data and Measurement Issue

Table of Contents for the Digital Edition of The Data and Measurement Issue