Improving your analysis of inconsistent sales data is need to follow some step like Identify Missing Data, Remove Duplicates and doing Standardize Formats for data collection. also you need break down your sales data by region, product, customer segment, or time period. and focus on specific areas of inconsistency for targeted improvement. also for more clarification you need to involve sales, marketing, and finance teams to cross-check data and reconcile discrepancies.

1. Ensuring consistent formatting and segregation of data. 2. Cleaning the data by removing errors and duplicates, and find missing values to fill. 3. Using simple analytics tools for automated visualization of the data. 4. Breaking Data into Catagories for identification of trends. 5. Final, but most important, focusing on KPIs for actionable insights. Regular Audits are your saviours.

Here’s how to improve accuracy and insights: 1. Standardize Data Collection ? Ensure all sales teams follow uniform methods for entering and reporting data (tools, formats, and metrics). 2. Centralize Data Storage ? Use a unified CRM or data management system to eliminate fragmented or duplicated data. 3. Clean and Validate Data ? Regularly audit and clean your data to fix errors, duplicates, and missing entries. Use automated tools for consistency. 4. Use Data Integration Tools ? Integrate data across systems (CRM, ERP, marketing tools) for a single source of truth. 5. Implement Real-Time Dashboards ? Adopt analytics tools (Tableau, Power BI) to track live data, spot discrepancies, and respond quickly.

1. Identify the authenticity of the data source 2. Ensure two distinct sources provide the same data/conclusion 3. Evaluate the competency of your data team - don’t compromise on competency when it comes to data… 4. Ensure the org has the right data measurement tools

Data Cleaning: Correct errors and remove duplicates. Understand Metrics: Familiarize yourself with key sales metrics and data structure. Use Tools: Leverage Excel, Google Sheets, or BI tools like Tableau for analysis. Descriptive Analytics: Analyze basic statistics (mean, median) to understand data characteristics. Identify Trends: Use time series analysis to spot trends and seasonality. Segmentation: Divide data by product or region to find specific insights. Education: Take online courses on data analysis and statistics. Collaboration: Work with experienced colleagues to gain practical insights.