You're already a data manager. (Yes, you.)
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If you check reports, use software, or make decisions based on forecasts - congratulations, you're practicing data management.
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The difference? Some do it intentionally. Most don't.
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Unintentional data management looks like:
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• Unpredictable workdays
• Constant firefighting
• Frustrated customers
• Teams working in silos
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This might feel like the status quo. You might even enjoy the chaos.
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But I promise you this: once you start managing data intentionally, everything changes.
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Your work becomes more enjoyable, your customers become evangelists, and your team starts functioning like a well-oiled machine.
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Here are 4 practical steps to start managing your data intentionally:
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1️. Improve Data Quality at Source
• Transform tribal knowledge into documented SOPs that everyone follows
• Enforce these standards with validation rules and process checks
• Create accountability by measuring and rewarding data quality
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2️. Document Operational Reports
• Map every report your team uses (you'll be shocked how many exist)
• Identify critical dependencies that could break your decision-making
• Capture hidden business rules and calculations before key people leave
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3️. Invest in Proper Data Architecture
• Design a scalable data warehouse that grows with you
• Implement governance that enables rather than restricts
• Automate ETL pipelines to eliminate manual data prep
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4️. Establish Clear Data Standards
• Create naming conventions that make sense to humans
• Build data dictionaries so everyone speaks the same language
• Document business rules to maintain institutional knowledge
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What's one small step you're taking to be more intentional with your data?

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All the Best,

Tucker