Duplicate records
A customer, product, or supplier may appear more than once because of spelling differences or repeated exports.
Practical business data solutions
Business Data Analysis and Cleaning Software
Bring Excel and CSV files together, profile data quality, review duplicates and missing values, then turn the results into useful analysis, charts, and reports. CleanSheet provides a clear path from raw files to information your team can act on.
Excel and CSV analysis
Data cleaning and duplicate detection
Reports and dashboards
On-premise deployment available
Why business data becomes difficult to analyze
Sales, inventory, service, and purchasing teams often work with exports from several systems. These files need to be understood and organized before their results can be trusted and reviewed.
Missing values
Blank prices, regions, or contact fields reduce the usefulness of reports and segmentation.
Inconsistent values
Different date, currency, branch, and category formats make comparisons and grouping harder.
Disconnected files
Data spread across Excel, CSV, CRM, and ERP exports creates repeated manual work and delays analysis.
From raw data to reviewable analysis
Business data analysis starts with understanding structure and quality, then cleaning values and connecting suitable sources before analysis and presentation. CleanSheet brings these stages into one reviewable workflow.
Profile the data
Review column types, missing values, duplicates, and basic distributions.
Clean and standardize
Review duplicates, handle missing values, and standardize formats according to business rules.
Analyze and segment
Run statistical analysis and segment customers, products, or suppliers using relevant indicators.
Present results
Build charts, dashboards, and Excel or PDF reports according to the configured project scope.
Excel and CSV analysis capabilities
Tools are configured around the data and business rules instead of applying one treatment to every company.
Excel and CSV analysis
Import common file formats and understand their columns and types before analysis.
Duplicate detection
Identify similar records for review using fields and rules suited to the dataset.
Missing values and errors
Surface blanks, invalid data, and inconsistent values before results are approved.
Statistical analysis
Summarize trends, distributions, comparisons, and indicators relevant to business questions.
Charts and dashboards
Present indicators visually for easier monitoring across periods and segments.
Reviewable automated insights
Surface initial observations from visible patterns while keeping results open to human review.
Business segmentation
Create customer, product, or supplier segments from available values and indicators.
Excel and PDF reports
Prepare shareable outputs according to the agreed report templates and scope.
Data CleanSheet can analyze
The project can be configured for different sources when their structure and rules are understood.
Sales data
Review trends, customers, products, regions, and sales channels.
Customer and lead data
Clean contact details, reduce duplicates, and create useful commercial segments.
Supplier and purchasing data
Compare suppliers, categories, values, and periods using available data.
Inventory and products
Review items, movements, categories, and missing or inconsistent fields.
CRM and ERP exports
Organize exported files and connect them using agreed keys and business rules.
E-commerce exports
Analyze orders, customers, products, and channels within the available dataset.
Deployment options for business data privacy
CleanSheet can be configured to run within customer-controlled infrastructure when a project requires it. In that model, processing stays in the agreed environment. Other hosting arrangements are available according to project scope and security requirements.
- On-premise deployment option
- User-based access controls
- Data sources and integrations reviewed before implementation
- Processing and storage location defined in project scope
Start with your team’s actual data problem
Tell us about the sources, challenges, and required outcome. We will assess whether CleanSheet fits and how it can be configured for the use case.
Data analysis software questions
What is data analysis software?
It helps teams inspect, clean, summarize, and turn data into indicators, charts, and reports that support business questions and decisions.
Can it analyze Excel and CSV files?
Yes. CleanSheet works with Excel and CSV files within the size and structure agreed for the project.
Can the system detect duplicate data?
Yes. Exact or similar records can be identified using suitable fields and rules, then reviewed before any merge or deletion is approved.
Can it clean missing values and errors?
Missing and invalid values can be detected and agreed cleaning rules can be applied while keeping changes reviewable.
Is company data uploaded to an external server?
That depends on the agreed deployment model. With on-premise deployment, processing occurs inside customer-controlled infrastructure.
Can CleanSheet be installed inside the company environment?
Yes. Customer-hosted deployment is available when the infrastructure and project requirements support that model.
What types of data can be analyzed?
Examples include sales, customer, supplier, inventory, product, lead, CRM, ERP, and e-commerce export data.
Can it produce Excel and PDF reports?
Excel and PDF reports can be prepared according to the data, template, and output scope defined for the project.