Problem:Customer Code Stream Service Level Lifecycle Stage Growth Prospects CSM Country Rating Region AASA Aviation GOLD Grow Yes May Wu Australia 1 APAC ADOD Aviation GOLD Grow No May Wu Australia 2 APAC AHKG Aviation GOLD Grow Yes May Wu Hong Kong 1 APAC AKHH Aviation GOLD Grow No Gary Wu Taiwan 2 APAC ATSA Aviation GOLD Grow No Gary Wu Taiwan 2 APAC VTKN Omnis GOLD Save Yes Gary Wu Taiwan 1 APAC AMZG Aviation GOLD Grow No Gary Wu Taiwan 2 APAC ATPE Aviation GOLD Grow No Gary Wu Taiwan 2 APAC APEK Aviation GOLD Grow No Gary Wu China 1 APAC AKNH Aviation GOLD Grow No Gary Wu Taiwan 2 APAC Solution: Data Quality Score: 8/10 Data Overview: The provided dataset is a structured customer portfolio for a company in the Aviation and Omnis sectors. It includes attributes such as Customer Code, Stream, Service Level, Lifecycle Stage, Growth Prospects, Customer Success Manager (CSM), Country, Rating, and Region. Data Quality Analysis: Completeness: The dataset is fully populated with no missing entries, which is excellent for comprehensive analysis. Consistency: Consistency in format and categorization across columns, such as uniform service levels and binary growth prospects, is observed. Validity: The data entries adhere to logical formats, suggesting good validity. Accuracy: The internal consistency of the data is good, although accuracy can't be confirmed without external reference points. Relevance: The data fields are highly relevant for business strategy analysis, customer segmentation, and service optimization. Insights and Recommendations: Customer Segmentation: The heavy focus on the Aviation sector and the Gold service level suggests a niche but premium market segment. Ark Analytics can help in refining this segmentation further. Growth Analysis: With mixed responses in the 'Growth Prospects' column, a deeper dive into what differentiates the 'Yes' from 'No' can guide targeted growth strategies. Geographic and CSM Focus: The predominance of customers in the APAC region, especially in Taiwan, indicates a strong regional presence. Analyzing the performance and workload of CSMs (May Wu and Gary Wu) in these regions can help in resource optimization. Customer Satisfaction: The binary nature of the 'Rating' (1 and 2) may benefit from a more nuanced scale to better capture customer satisfaction levels. Ark Analytics could assist in developing a more refined rating system and correlating it with service levels and growth prospects. Remember, Ark Analytics provides these insights while ensuring the utmost privacy and security of your data. We do not retain data post-analysis, ensuring your strategic decisions are backed by up-to-date and secure information. This dataset is a strong foundation for strategic decision-making, and Ark Analytics can help unlock its full potential.