In today’s data-driven world, organizations are inundated with vast amounts of information. From customer interactions on social media to sensor data from IoT devices, the volume of data generated daily is staggering. However, despite this abundance, many companies struggle to harness the full potential of their data. A significant barrier to effective data utilization is the lack of data literacy among employees. 

What Is Data Literacy? 

Data literacy refers to the ability to read, understand, create, and communicate data as information. It’s about empowering individuals to make data-driven decisions, regardless of their role or technical expertise. However, a survey revealed that 53% of companies cannot fully utilize their data due to a lack of analytical skills, and 48% face technical inefficiencies in using data effectively. 

The Challenges Hindering Data Utilization 

Several factors contribute to these challenges: 

• Work Culture: In many organizations, especially in traditional industries, there’s a resistance to change. Employees accustomed to legacy systems may be hesitant to adopt new data tools, hindering the organization’s ability to leverage data effectively. 

• Fear of Change: Technologically challenged employees often resist using advanced tools. The perception that data analysis is only for data scientists can prevent broader adoption of data-driven practices. 

• Technical Challenges: Organizations may lack the right tools or infrastructure to manage and analyze large volumes of data. Unstructured data from various sources can overwhelm existing systems, making it difficult to extract meaningful insights. 

Bridging the Gap with Augmented Intelligence 

To overcome these barriers, organizations are turning to augmented intelligence. Unlike traditional artificial intelligence, which aims to replace human decision-making, augmented intelligence enhances human capabilities by providing intelligent tools that simplify data analysis. 

Qlik Sense is a leading platform in this domain, offering a suite of features designed to make data analytics accessible to all users: 

• Natural Language Processing (NLP): Qlik Sense’s Insight Advisor allows users to interact with data using plain language. Whether typing a question or speaking, employees can obtain insights without needing to understand complex queries. 

• Conversational Analytics: With Insight Advisor Chat, users can engage in a dialogue with their data. This feature provides real-time answers and visualizations, making data exploration intuitive and interactive. 

• Automated Insight Generation: Qlik Sense employs AI to automatically generate relevant analyses, such as rankings, trends, and forecasts. This automation reduces the time spent on manual data preparation and allows users to focus on decision-making. 

• Advanced Analytics Integration: The platform supports integration with machine learning models, enabling predictive analytics and what-if scenarios. This capability empowers users to anticipate future trends and make proactive decisions. 

Real-World Impact 

Organizations that have embraced augmented intelligence are witnessing tangible benefits. For instance, companies using Qlik Sense have reported increased efficiency, improved decision-making, and enhanced collaboration across departments. By democratizing data access and simplifying analytics, these organizations are turning data into a strategic asset. 

Conclusion 

The challenges of data literacy are not insurmountable. By adopting augmented intelligence tools like Qlik Sense, organizations can empower their employees to become data literate, regardless of their technical background. This shift not only enhances individual decision-making but also drives organizational growth and innovation. 

If your organization is ready to embark on the journey toward data literacy, consider exploring how Qlik Sense can transform your data into actionable insights. Embrace the future of analytics and unlock the full potential of your data.