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  • Struggling to make data more accessible for non-technical employees

    Posted by Anonymous on September 7, 2024 at 3:19 pm

    One of the biggest challenges we face is making data accessible and understandable to all employees, especially non-technical teams. While we have systems in place for data management and analysis, the complexity of these systems often requires extensive training and disrupts employees’ workflow. We need a solution that integrates seamlessly with our existing tools, ensuring that employees can access relevant data and understand its meaning in real-time without needing specialized knowledge or diverting from their tasks.

    Collibra replied 1 month, 1 week ago 2 Members · 1 Solution
  • 1 Solution
  • Collibra

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    September 7, 2024 at 3:33 pm
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    Solution: Ensuring Data Accessibility for Non-Technical Teams

    When it comes to empowering your employees with data, making it easily accessible and understandable is critical—especially for non-technical teams. To build a data-driven culture, it’s essential to embed data definitions and insights directly into everyday workflows, creating a seamless experience where accessing the right information becomes second nature. Here’s how you can implement this across your organization:

    1. Embed Data Directly into Common Tools
    Employees should have access to business terms and data definitions within the tools they already use. Integrate your data governance platform with business intelligence tools (like Tableau or PowerBI) or customer relationship management (CRM) systems. This allows employees to stay in their current workflow while accessing critical data insights without needing technical expertise or additional training.

    2. Automate Data Processes to Save Time
    Automating data flows eliminates manual tasks like searching for terms or updating spreadsheets. With automated processes, definitions, reports, and metrics can be surfaced in real-time, providing immediate context and freeing employees to focus on higher-level analysis rather than data management.

    3. Build a Centralized Data Glossary for Consistency
    A centralized data glossary ensures that everyone in your organization has the same understanding of business terms and metrics. Whether employees are working in marketing, finance, or operations, a shared glossary provides clarity and prevents misinterpretation. Make sure this glossary is accessible from every tool and updated regularly to keep everyone aligned.

    4. Use a Chatbot for Quick Data Lookups
    A chatbot can make data definitions even more accessible by allowing employees to simply ask for the meaning of a term and get an immediate response. This minimizes the time spent searching for information and allows employees to quickly find what they need without leaving their workspace.

    5. Provide Cross-Functional Access to Data
    Data silos can hinder effective collaboration. Ensure that data definitions and reports are available to all relevant teams across the organization. This creates a more collaborative and efficient environment where decisions are made based on the same information.

    <hr>Case Study: How Adobe Enhanced Data Accessibility with Collibra

    Adobe took a similar approach to simplify and democratize data for its employees. As a global tech company with over 18,000 employees, Adobe needed a solution that made data definitions readily available across different departments and platforms. Here’s how they leveraged Collibra to strengthen their data culture:

    1. Embedding Data Definitions into Tableau
    Adobe integrated Collibra’s Business Glossary with Tableau, enabling employees to hover over data terms within reports to instantly view definitions. This streamlined access reduced the need for formal training and allowed employees to interpret data quickly and accurately without switching platforms.

    2. Automating Data Transfers to Eliminate Manual Work
    To further enhance efficiency, Adobe automated the transfer of metric definitions from Collibra to Tableau through a MySQL database. This reduced the manual steps needed to find and input data, speeding up workflows and improving overall productivity.

    3. Centralizing Data with a Comprehensive Glossary
    Recognizing the importance of consistency, Adobe built a centralized glossary for business terms and acronyms, housing it within Collibra. This glossary ensured that employees across different departments had a unified understanding of key terms, boosting alignment and reducing errors.

    4. Quick Access Through an Internal Chatbot
    Adobe also developed a chatbot integrated with Collibra, allowing employees to type in business terms or acronyms and get instant definitions. This minimized workflow disruptions and provided immediate answers, enabling teams to move faster.

    5. Expanding Integration Across Tools
    In addition to Tableau, Adobe expanded Collibra’s integration to include Microsoft PowerBI and their CRM. This allowed them to provide consistent data definitions across multiple platforms, ensuring a unified data culture no matter which tool employees used.

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    By adopting similar strategies, businesses can improve data accessibility for non-technical teams, empowering employees to make informed decisions faster while fostering a more collaborative, data-driven culture.

    https://www.collibra.com/us/en/customer-stories/adobe

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