Data Training Methods That Enhance Employee Learning Engagement

A company’s competitive edge is significantly influenced by its talent pool. While the quest to attract the right talent is crucial, there’s an equally important aspect that often gets overshadowed: employee training. Training initiatives tend to be sidelined due to their longer timelines compared to talent acquisition. However, for sustainable growth, it’s essential that companies invest in nurturing their workforce through ongoing training.

So, how should companies approach training to effectively develop talent? This article explores strategies for empowering employees through one of the most sought-after training domains today: data literacy and analytics. We will delve into how instilling strong data skills across your organization can not only enhance individual performance but also drive collective advancement in an increasingly data-driven world.

5 Things Corporate Trainers Miss - Watch Now

Employee Training Outlook 2024

Before we delve into the specifics of data training, let’s examine the prevailing trends in employee training. According to the “2024 Corporate Training Outlook” survey by Corporate Hewlett-Packard, the leading training buzzword this year is ‘upskilling and reskilling,’ capturing 48.7% of industry focus. This is closely followed by skills-based learning (28.8%), personalized curation (23.3%), AI-powered learning (22.3%), digital transformation (21.7%), and hybrid learning (21.5%). These trends indicate a significant shift towards personalized and technologically enhanced training as companies prioritize comprehensive upskilling for their employees.

How should you train your employees?

What does effective employee training entail in the era of digital transformation (DX)? A global HR survey by CoachHub reveals a concerning gap: 73% of leaders feel that employees are not receiving adequate training. Furthermore, Immerse’s Upskill Ultimatum report highlights that nearly half (49%) of HR professionals believe traditional training methods are no longer fitting for today’s workplace. Compounding this issue, 48% of employees indicate they would consider leaving their current company due to insufficient training opportunities, with many reporting they haven’t learned anything new from workplace training in the past year.

The traditional one-size-fits-all training model is evidently falling short in meeting employee expectations and enhancing performance. Today, what’s required is engaging, personalized training programs. An exemplar of this approach is Project-Based Learning (PBL) training, which tackles real-world problems tailored to the specific characteristics and data of each industry. This method not only enables learners to identify and solve pertinent issues on their own but also helps them develop practical skills directly applicable to their job roles.

The need for data education

As society rapidly evolves with the advent of various technologies such as AI, big data, and IoT, it is becoming increasingly important to identify trends and make accurate decisions quickly. One of the most important factors in this is the ability to utilize and analyze data. Data analytics is the process of collecting data, analyzing it, and deriving insights. These insights play a crucial role in helping organizations make accurate decisions. In other words, by developing data analytics and data utilization skills, you can formulate effective corporate strategies and make accurate decisions. For example, data analytics can help you identify customer purchasing patterns, create targeted and accurate marketing strategies, and predict the future of your company. You can also identify future demand, plan production, manage inventory, and reduce production costs.

Why you need enterprise data literacy - watch now

As the ability to utilize data becomes more important, data training is also becoming a necessity for companies. Data training is not just about learning data tools, but also about analyzing real data to come up with ideas and find ways to solve problems with data. At Elice, we provide training that utilizes real company data to help you develop your own problem-solving and insightful skills.

Data training examples

So far, we’ve covered employee training perspectives, methods, and data training. Now, let’s take a look at some real-world data training examples from Elice and how training topics vary by industry.

1. Financial sector

Let’s begin with an illustrative example from the financial sector. A prominent financial institution partnered with Elice to implement on-the-job data analysis project training for their new hires, aiming to enhance their data utilization skills and decision-making capabilities.

Starting with foundational skills in Excel and SQL, the trainees engaged in hands-on exercises that prepared them for the real challenge: projects using actual company data. These projects were not just exercises; they were deep dives into relevant company issues. Trainees chose their project topics strategically to maximize the use of internal data. This enabled them to perform real-world analysis on pressing topics, such as ‘evaluating the impact of text message (SMS) marketing on new account openings’ and ‘examining three-year performance trends and key customer segments across branches.’ This approach not only reinforced their technical skills but also fostered a practical understanding of how data-driven strategies can influence business outcomes directly.

Solutions for DX in the Financial Industry - Watch Now

2. Food industry

Continuing our journey through impactful data training, let’s explore a case from the food industry. A prominent Korean food company sought to amplify its decision-making process by tapping into its rich veins of internal data. Our targeted training program enabled the company to analyze trends in restaurant menu demand during the third quarter of 2023, illuminating consumer preferences and guiding strategic decisions in food product development, promotional campaigns, and menu planning.

The training kicked off with a hands-on project that involved analyzing and visualizing actual sales data from their menus. Trainees progressed to advanced techniques such as web crawling to gather restaurant reviews, utilizing Google Trends APIs to analyze and visualize menu popularity, and conducting sentiment and morphological analyses of the review data. This comprehensive approach not only enhanced their technical skills but also led to the extraction of valuable business insights, such as innovative product recommendations and targeted promotion strategies, all directly applicable to their business objectives.

3. Manufacturing sector

Our final example highlights the transformative power of data training in the manufacturing sector. A manufacturing firm had amassed extensive data from its operations but struggled to leverage it effectively. Recognizing the need to harness this valuable resource, the company initiated on-the-job data training with Elsevier to empower their employees.

Starting with fundamental training, employees quickly moved to apply their new skills in a practical project titled “Predicting Process Abnormalities Using Manufacturing Data.” The project focused on identifying and predicting potential defects and equipment failures before they occurred, using actual manufacturing data. This proactive approach allowed the team to enhance the reliability and efficiency of their production processes and fine-tune their data handling techniques, including data refinement and preprocessing.

Through this hands-on project, employees developed the ability to interpret complex datasets and make informed decisions, significantly reducing downtime and improving product quality by preemptively addressing process irregularities.

Engage learning with Elice LXP - watch now

We’ve showcased three dynamic examples of how Elice is revolutionizing employee engagement through targeted data training. At Elice, we harness the power of real-world data from actual businesses to uncover critical business insights, customizing our training modules to align closely with the specific data landscapes of these companies. This approach makes the training relevant to participants and greatly boosts learning engagement and satisfaction.

Elice Data Training offers a pioneering Project-Based Learning (PBL) model that utilizes real company data. This method does more than just engage learners; it transforms employees’ perspectives on data usage. If you’re aiming to elevate your team’s data proficiency and cultivate a culture of continuous talent development, Elice’s PBL training is the key to unlocking this potential.

Customized PBL training for your organization, with Elice! - Watch now

*Elice owns the copyright to this content, which is protected under copyright law.

*Without prior consent, secondary processing and commercial use of the content are prohibited.