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Hardware Sales Forecasting Dataset
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About
Explores a sales pipeline for a company specialising in computer hardware. This resource provides detailed information on customer accounts, product offerings, sales teams, and the lifecycle of potential sales opportunities. The resource is specifically designed for predictive analytics to uncover critical patterns and trends, allowing users to build enhanced sales strategies and improve CRM performance.
Columns
The data is delivered in four separate files:
- accounts.csv: Contains account (Company name), sector (Industry), year_established (Year Established), revenue (Annual revenue in millions of USD), employees (Number of employees), office_location (Headquarters), and subsidiary_of (Parent company).
- products.csv: Lists product (Product name), series (Product series), and sales_price (Suggested retail price).
- sales_teams.csv: Includes sales_agent (Sales agent), manager (Respective sales manager), and regional_office (Regional office).
- sales_pipeline.csv: Features opportunity_id (Unique identifier), sales_agent, product, account, deal_stage (Sales pipeline stage: Prospecting, Engaging, Won, or Lost), engage_date (Date the 'Engaging' stage was initiated), close_date (Date the deal was 'Won' or 'Lost'), and close_value (Revenue from the deal).
Distribution
The information is structured across four files, usually provided in CSV format. The
accounts.csv file, for instance, is small (4.67 kB) and contains details for 85 unique accounts across 7 columns. Users should note that an original data sample file would be provided separately to the platform. The expected update frequency for this dataset is annually.Usage
This resource is ideal for applying predictive analytics to CRM sales performance data. Key applications include Exploratory Data Analysis (EDA) to understand underlying metrics, Data Visualization for reporting, and Time Series Analysis, particularly related to engagement and closing dates. It can be used to forecast sales outcomes and evaluate agent performance.
Coverage
The dataset primarily focuses on accounts based in the United States, which represents 84% of the listed headquarters locations, though 14 other locations, including Kenya, are also noted. The companies included were established between 1979 and 2017. Revenue figures vary widely, ranging from 4.54 million USD to a maximum of 11.7 thousand million USD. The retail sector is the most frequently represented industry, accounting for 20% of the entries.
License
CC0: Public Domain
Who Can Use It
- Sales Managers and Strategists: To identify high-performing agents and product lines, and uncover selling trends.
- Data Scientists: For developing machine learning models aimed at predicting deal success (Won/Lost).
- Business Intelligence Professionals: To generate reports on company account metrics, such as annual revenue and employee size distributions.
Dataset Name Suggestions
- Predictive Computer Hardware Sales Pipeline
- CRM Performance and Account Data
- Hardware Sales Forecasting Dataset
Attributes
Original Data Source:Hardware Sales Forecasting Dataset
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