ELE Group, LLC

This live discussion provided a clear look at a common challenge: L&amp;D and HR teams often operate in silos, tracking activity but struggling to prove real business impact. The answer isn’t more tools—it’s building a data-driven learning ecosystem that connects LMS, HRIS, LXP, and enterprise systems through a shared strategy. With aligned data, culture, and governance, talent leaders can shift from compliance metrics to outcomes like sales, retention, and leadership pipelines. Read on to discover how to move from siloed activity to enterprise-wide impact.
As <a href="https://www.ele.llc/members/yolanda-mangram" target="_blank" rel="noopener">Yolanda Mangram</a> emphasized, quoting <a href="https://www.ele.llc/members/matt-donovan" target="_blank" rel="noopener">Matt Donovan</a>:

<blockquote>"If L&amp;D doesn’t align its data strategy with the enterprise data strategy , it risks being left behind."</blockquote>
That urgency framed the discussion on why siloed systems and vanity metrics no longer cut it.
<a href="https://www.ele.llc/members/marty-murrillo" target="_blank" rel="noopener">Marty Murrillo</a> reminded us of the shift required:

<blockquote>"Business leaders don’t care about activity—they care about outcomes"</blockquote>
The challenge for L&amp;D is to move beyond course completions and show how learning drives sales, retention, quality, and leadership pipelines.


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<h2 data-start="1190" data-end="1211">🔑 5 Key Takeaways</h2>
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 	<li data-start="1212" data-end="1320">
Integration is the differentiator – Connecting LMS, HRIS, LXP, and business systems unlocks impact.
</li>
 	<li data-start="1321" data-end="1426">
Metrics must evolve – Completions and attendance don’t prove value; performance and outcomes do.
</li>
 	<li data-start="1427" data-end="1528">
Culture enables data use – Governance and openness are as critical as the technology itself.
</li>
 	<li data-start="1529" data-end="1644">
Taxonomies are infrastructure – Shared skills and competency language is essential across HR and business.
</li>
 	<li data-start="1645" data-end="1759">
Start small, scale smart – Pilots tied to one or two business outcomes create early wins and credibility.
</li>
</ol>

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<h2 data-start="1766" data-end="1792">🛠️ 5 Practical Actions</h2>
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Audit your silos – Map where learning, HR, and business data live; identify overlaps and gaps.
</li>
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Anchor in business outcomes – Pick one high-stakes metric (e.g., sales performance, leadership pipeline) to prove impact.
</li>
 	<li data-start="2028" data-end="2142">
Align taxonomies – Ensure skills and competencies use the same “data language” across HR and L&amp;D systems.
</li>
 	<li data-start="2143" data-end="2256">
Shift manager behavior – Train leaders to use data for coaching and recognition, not as a “gotcha” tool.
</li>
 	<li data-start="2257" data-end="2357">
Pilot → prove → scale – Integrate one system, show measurable ROI, then expand iteratively.
</li>
</ol>

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<h3 data-start="2364" data-end="2384">Why it matters</h3>
Talent development leaders who adopt this mindset will stop reporting activity and start telling outcome-driven stories that matter to the business. Integration isn’t a future vision—it’s the credibility test for L&amp;D today.

How to Create a Learning Tech Stack: Building a Data-Driven Ecosystem

Integrated Talent Management

Analytics

learning technology

dirk.tussing

newton.moore

richard.busby

azizeh.constantinescu

edward.desrosiers

talent development

keri.kersten

marty.murrillo

guillermo.gutierrez

reskilling

learning and development

patricia.ouzounian

yolanda.mangram

audrey..hackley

Strategic HR

diana.anderson

HR Technology

HR Analytics

emily.decker-bess

data driven HR

Coaching Culture

organizational impact

3Q2025

data strategy

cindy.pinkstaffmiller

HR data

learning tech stack

L&amp;D systems

enterprise data

talent ecosystem

integrated HR

HR systems

workforce analytics

learning metrics

talent analytics

deepa.kartha

manendra.bhugra

business outcomes

jenny.massoni

data-driven ecosystem

learning integration

HRIS

taxonomy alignment

enterprise learning

The CARA Group, Inc.

Get Control

Empowering HR Through People Analytics: Mastering Data Visualization and AI for Impactful Storytelling

According to Dan Mapes in his book, The Spatial Web, he says,

“Humans respond to and process visual data better than any other type of data. Some statistics suggest that the brain processes images 60,000 times faster than text and that 90% of information processed by the brain is visual.”

This session shed light on how senior HR leaders can harness AI-driven data visualization and storytelling to create greater organizational impact.

By focusing on the intersection of data, visuals, and actionable insights, we explored practical ways to elevate HR strategies. Here are three key takeaways:
<ol>
 	<li>Leverage Visual Metaphors for Storytelling
Replace raw statistics with engaging visual metaphors, like using a “leaky bucket” to depict inefficiencies or a “revolving door” for employee turnover. These visuals not only capture attention but also improve retention and open the door for deeper discussions.</li>
 	<li>Integrate AI Tools for Data-Driven Insights
Use platforms like ChatGPT or Microsoft Co-Pilot to analyze data, identify trends, and generate visuals that connect to real-world applications. For example, AI can quantify and visualize a 23% improvement in project completion rates after training, making the case for continued investment in workforce development.</li>
 	<li>Support DEI Through Inclusive Visuals
Visual storytelling can break language barriers and foster diverse perspectives, making it a natural fit for advancing equity and inclusion. Pair visuals with employee stories to deepen emotional connection and engagement.</li>
</ol>
Actionable next steps: Begin by identifying a current HR challenge—whether it’s employee engagement, retention, or training effectiveness. Use AI tools to analyze your data and craft visuals that not only highlight the issue but also tell a compelling story. Pair these visuals with a clear call to action, ensuring your message drives meaningful conversations and decisions at the leadership table.

How will you leverage AI and visual storytelling to address your organization’s top priorities? Let’s continue the conversation on ELE <a href="https://www.ele.llc/idea-exchange" target="_blank" rel="noopener">Idea Exchange</a>.

How to Create a Learning Tech Stack: Building a Data-Driven Ecosystem

AI Practical Lab | Data Visualization and Impactful Storytelling

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