When we started Data Tiles, my co-founders and I had a clear mission: to create solutions that make data accessible, intuitive, and valuable. Over the years, I’ve seen how transformative data can be for businesses, but I’ve also seen the frustration when that data isn’t easily accessible or actionable. That’s why we developed Latttice and ChattterBox—two tools designed to unlock the potential of data through AI, making it easy to access and generate insights from data wherever it resides.
While neither tool was created specifically for Employee Experience (EX), both Latttice and ChattterBox offer flexible ways for companies to connect to and draw insights from EX data, helping to solve some of the most pressing challenges in today’s workplaces. With the growing importance of EX and the impact AI is bringing to the table, businesses need tools that simplify data access and insight generation. Here’s how Latttice and ChattterBox can help organizations unlock the value of their EX data.
Why Employee Experience Matters—and the Challenges of Accessing EX Data
Employee Experience (EX) encompasses every interaction employees have with their workplace, from daily engagement and productivity to overall well-being. Studies have shown that a positive EX translates into higher productivity, lower turnover, and greater employee satisfaction. As Harvard Business Review recently stated, “employee experience is becoming the defining factor in retaining talent,” and understanding it requires insights into engagement, productivity, and well-being.
However, tapping into this data and turning it into actionable insights is easier said than done. Here are some of the key challenges businesses face with EX data:
1. Data Fragmentation Across Platforms
Employee data is often scattered across multiple platforms—HR systems, performance reviews, engagement surveys, and wellness apps. This fragmentation makes it challenging to gain a holistic view of the employee journey, limiting the ability to act on insights in a cohesive way.
2. Complexity of Analyzing Unstructured Data
EX data can include both structured metrics, like productivity scores, and unstructured feedback, such as open-ended survey responses. Analyzing and making sense of this data requires tools that can handle various data types and deliver insights that can be acted upon.
3. The Evolving Role of AI in EX
As AI becomes more integrated into EX analytics, organizations are using it to predict turnover, analyze engagement trends, and understand employee sentiment. However, leveraging AI to achieve these outcomes requires data to be accessible, well-connected, and intelligently organized, areas where many companies still face obstacles.
How Latttice Makes EX Data Accessible and Actionable
Latttice was created to address the challenge of accessing and using data across disparate systems. Built as an AI-powered Data Mesh solution, Latttice connects to data wherever it resides, enabling organizations to access and analyze EX data from various sources without the need to centralize it.
Here’s how Latttice helps businesses overcome EX data challenges:
1. Connecting to Data with Data Mesh
Latttice’s Data Mesh approach allows companies to connect to multiple EX data sources—HR systems, productivity trackers, survey platforms—without needing to consolidate everything into one system. This flexibility enables businesses to gain a real-time, comprehensive view of their EX data, empowering HR and leadership to make informed decisions faster.
2. Secure and Scalable Computational Data Governance
With EX data, privacy and security are critical, and Latttice is built with computational data governance to ensure data access is both secure and scalable. This allows businesses to provide access to EX insights across teams without compromising on data integrity, ensuring compliance while promoting a culture of data-driven decision-making.
3. AI-Driven Predictive Insights
One of the most powerful aspects of Latttice is its ability to use AI to rapidly build trusted data products that support predictive insights. By connecting various EX data sources into one cohesive, trusted, high quality data product, Latttice can help organizations develop use cases that spot trends before they become problems. For instance, an organization could can identify early signs of employee burnout or disengagement, enabling leaders to take proactive steps to support their teams.
"Data mesh pushes organizations to think of data in terms of use cases and quantifiable data—not just collecting data for data’s sake." — Coalesce Data Trends Report, 2023
How ChattterBox Empowers SMBs with Simple, AI-Driven Insights
While Latttice offers advanced data connectivity and predictive analytics, we created ChattterBox to meet the needs of small and medium-sized businesses (SMBs) that may not have complex data requirements but still want to make sense of their EX-data easily. ChattterBox is designed to make data exploration straightforward, using AI chat prompts and natural language queries to simplify the analysis process.
Here’s how ChattterBox supports SMBs in generating valuable insights from their EX-data:
1. Natural Language Queries for Intuitive Interaction
ChattterBox allows users to ask questions in plain language, so they don’t need technical knowledge to analyze data. If they’re unsure of where to start, AI-generated prompts suggest questions, helping users discover insights in areas they might not have initially considered.
2. Quick Data Upload and Export for Seamless Use
ChattterBox allows businesses to upload data in CSV or text file format, quickly analyze it, and export results for use in other platforms, such as Excel. This makes it easy for SMBs to gain insights without needing dedicated analytics infrastructure, enabling teams to share findings and incorporate them into ongoing initiatives.
3. Flexible Data Exploration Without Predefined Constraints
Traditional EX tools often provide predefined dashboards, but ChattterBox gives users the freedom to explore their data dynamically. This flexibility is especially valuable for businesses that may not have fully defined data goals but want the freedom to explore EX data based on immediate needs.
“Data democratization tools are increasingly essential for empowering non-technical users to engage with data directly, supporting a more agile and inclusive data culture.” — DataGalaxy White Paper, 2023
Case Study: How Latttice and ChattterBox Can Transform EX Data into Insights
Let’s consider a company facing typical EX challenges: they have data spread across various HR and engagement systems, but they lack the tools to access it in one place and draw actionable insights. Here’s how Latttice and ChattterBox can make a difference:
Using Latttice to Connect EX Data Sources and Unlock Predictive Insights
With Latttice, the company can connect directly to their various data sources without having to centralize it, allowing HR and managers to view engagement, productivity, and well-being data in real time. Thanks to Latttice’s AI-powered data product creation supporting predictive analytics, leadership could identify departments showing early signs of disengagement or high stress, helping them proactively address these issues. Computational data governance would also provide peace of mind, ensuring that sensitive employee data is accessible securely.
Using ChattterBox for Quick, Self-Directed Analysis
For team leaders or managers needing a simpler tool, ChattterBox offers a user-friendly way to explore EX data through natural language queries. A manager could ask questions like, “What are the top issues in employee feedback from last month?” and get instant insights, making it easy to respond to team needs quickly. ChattterBox’s AI-driven prompts could also encourage them to look at data in new ways, helping uncover insights they may not have thought to explore.
Latttice and ChattterBox vs. Traditional EX Tools
While traditional EX tools such as Culture Amp and Glint focus on centralized engagement surveys and analytics, Latttice and ChattterBox provide a more flexible, AI-driven approach to accessing and understanding EX data:
Latttice uses a Data Mesh approach to connect to data across systems, enabling real-time insights and predictive analytics without the need to centralize data in one place. This decentralized architecture makes it ideal for organizations with diverse data sources, providing a holistic view of EX metrics.
ChattterBox offers a simpler, intuitive alternative for SMBs, allowing users to explore data freely through AI-driven prompts and natural language queries. Unlike traditional tools with set dashboards, ChattterBox enables teams to ask questions and get customized answers, making EX data exploration accessible to everyone.
Together, Latttice and ChattterBox give businesses the tools to use EX data effectively, from advanced data integration and governance to intuitive, self-directed analysis.
Final Thoughts
Employee experience data is invaluable for building a positive, productive workplace, and at Data Tiles, we’re proud to offer solutions that make EX data accessible and insightful. With Latttice’s AI-driven Data Mesh and ChattterBox’s user-friendly analysis, organizations can overcome the challenges of fragmented data and turn EX insights into meaningful actions.
Whether you’re ready for Latttice’s advanced data capabilities or just starting with ChattterBox’s straightforward interface, our goal is to make EX data a powerful resource for every business. By helping companies access and understand their data, we’re working to build workplaces where everyone’s experience matters—and where data drives positive change.
“Employee experience is becoming the defining factor in retaining talent, and understanding it requires data on engagement, productivity, and well-being.” — Harvard Business Review
Let’s Keep Having Data Conversations,
Lili Marsh.
References
1. Coalesce. The Top Data and Technology Trends for 2023 and Beyond
2. DataGalaxy. 2023: Placing People at the Heart of Data Governance
3. Orion Governance. 2023 Data Catalogs in Review: Key Trends for Data Management in 2024
4. DataGalaxy. Data Governance: 5 Trends Transforming Organizations in 2023
5. Harvard Business Review
Comments