You're facing scope changes in a data analytics project. How do you ensure deadlines are still met?
When embarking on a data analytics project, you're often faced with a dynamic landscape where changes are inevitable. Scope changes can arise from new business needs, unforeseen technical challenges, or evolving data landscapes. To ensure that deadlines are still met despite these changes, it's crucial to adapt and manage the project effectively. In the following sections, you'll discover strategies to handle scope changes without compromising your project's timeline.
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Preeti MoolaniSenior Data Analyst | LinkedIn Top Data Analytics Voice 🏆 | Google Cloud Facilitator| Power BI | Tableau | SQL |…
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Vikram MohokarDME | Data Analyst | MIS | Advance Excel | Google Sheets & Form | Looker Studio | Power BI | DAX | Google Workspace |…
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Douglas R.Business Intelligence Developer & Artist Creative Strategic Data-Driven Decisions Process Improvement Specialist