Data mining services that turn raw data into answers Damco gathers the data, finds the patterns, and shows how each was found
Data mining solutions, from gathering to findings You bring a question, and we bring back the pattern and its evidence
How we run a data mining project Five steps, from the question you ask to a finding you can use
- Week 1Agree the questionWe write down the decision the findings must support.
- Week 1Gather the dataAgents pull data from your files and the sources you approve.
- Weeks 2 to 3Clean and join itDuplicates go, formats match, and records link across sources.
- Weeks 2 to 4Mine and testWe cluster, classify, and test each pattern before we report it.
- HandoverExplain the findingsAn analyst walks you through each finding and its evidence.
When to outsource data mining services And when collection or a reporting project fits better
A good fit when
- You hold years of records and suspect they explain a problem
- The data you need is spread across sites, PDFs, and spreadsheets
- You want a lead list built from public sources, not bought
Look elsewhere when
- You only need the raw data gathered, with no analysis
- You need dashboards your managers use every week
- The question can be answered from one report you already have
Our data mining services in detail Where the data comes from, and what we look for in it
Web data mining
Agents gather data from news sites, business directories, job portals, review sites, and competitor websites. A person checks every record the agents aren't sure of before it joins the dataset.
If you want to know which competitors are hiring for a new product line, their job posts across the portals in your market will show it.
Lead data mining
We build lists of companies and contacts that match your buyer from public sources, such as directories, company sites, and professional profiles. Each record carries its source, so your sales team knows where every name came from.
PDF, Word, and Excel data mining
Many answers are buried in files: annual reports, contracts, research papers, and old spreadsheets. Agents read the files and pull the figures and fields you need into one table.
We prepare new Excel models or extend the ones you have, so finance and planning teams can work with the result straight away.
Data mining from online marketplaces and images
Marketplaces hold prices, sellers, ratings, and stock for millions of products. We mine them with existing tools or build a collector for your sources. Image data mining finds and tags images in large sets, such as property photos or maps.
Web data extraction into reusable databases
Data from online databases, emails, and web pages rarely arrives in one shape. We place it into one reusable database, so it can be stored, moved, analyzed, or mined again next quarter.
Each record keeps its source and the date it was collected, so a finding can always be traced back.
Data mining techniques we use
We use classification, clustering, regression, and pattern recognition, and we choose by the question rather than the tool. Every pattern is tested on data it wasn't found in before we report it.
- Customer segmentation for marketing and pricing
- Fraud and anomaly detection in transactions
- Competitor analysis from public data
- Metadata extraction across large document sets
Questions about data mining services What buyers ask us before they start
What is data mining?
Data mining finds patterns in large sets of data: groups of similar customers, trends over time, or records that don't fit. It answers questions a single report can't, such as which customers are likely to leave and why.
What's the difference between data mining and web scraping?
Web scraping gathers data from websites. Data mining looks for patterns in data, whether it was scraped, exported from your systems, or pulled from documents. Many projects need both, and we run them as one.
Why outsource data mining?
You get the gathering, the cleaning, and the analysis without hiring for each. Agents do the volume work, and analysts spend their time on the question you asked.
Which sources can you mine?
Websites, directories, marketplaces, social media, PDFs, Word files, spreadsheets, and exports from your CRM or ERP. We only collect from public sources you approve and from data you send us.
How is a data mining project priced?
Gathering is priced per record or per source. The analysis is a fixed price per question, agreed after we've seen a sample of the data.
Bring the question your data should answer
Tell us the question and where the data sits. We'll reply with how we'd mine it and what it would cost.