Scope: Analyze the Otava customer and support data to identify trends and patterns with the dataset to generate customer profiles and gain insights into better understanding how our customers post implementation support experience impacts their likelihood to renew, expand, down grade or cancel their services with Otava. Analysis should include insight and recommendation on our ideal customer profile and where support excels and has opportunities to improve.
Outcome: Insight on how the support experience impacts overall customer loyalty, identification in gaps in current data collection point and recommendations for future focus areas. This information will be used internally to adjust workflows and operational processes within support operations to improve overall customer experience.
Deliverables: Summary of the overall characteristics in data and visualization of the patterns, questions for future analysis and recommendations based on trends and analysis of data.
|Company||Schurz Communications, parent of Otava, a cloud managed services company.|
|Revenue||100,000 - 500,000,|
Course Info & Engagement Details
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|Touchpoints & Assignments||Due Date||Submission|
Key Milestones & Project Process
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