DATA PREPARATION SERVICES
Trash In, Tables Out
We turn messy, sensitive, and unstructured data into structured datasets ready for analytics, reporting, and AI.
From documents, PDFs, spreadsheets, records, and mixed-source datasets to clean tables, linked entities, and analysis-ready outputs - we make complex data usable without forcing clients into generic cloud pipelines.
Unstructured Inputs
"scan_004.pdf"
"vendor_contract.msg"
"transaction_log.csv"
"osint_report.pdf"
ERP & CRM
Internal documents
Acme Corp = Vendor A
Data preparation for complex, sensitive environments
This service is for organizations sitting on valuable data that is too messy, fragmented, or inconsistent to use effectively. BCNN prepares that data for downstream analytics, reporting, investigations, and AI by cleaning, structuring, linking, and standardizing it into usable outputs.
What goes in
We work with structured and unstructured inputs such as:
- PDFs and reports
- Spreadsheets and CSVs
- Transaction records
- Internal documents
- Communications and notes
- Public-source material
- Mixed-source case files
- Partially structured exports from legacy systems
What comes out
Depending on the engagement, clients receive outputs such as:
- Clean structured tables
- Standardized datasets
- Entity lists and resolved records
- Linked relationships across sources
- Enriched metadata
- Source-linked records
- Data dictionaries and schema mapping
- Analytics-ready and AI-ready datasets
How BCNN prepares data
Step 1: Ingest.
We collect raw files, source exports, documents, and records from the client's environment.
Step 2: Clean.
We identify duplicates, inconsistencies, formatting problems, missing values, and structural issues.
Step 3: Structure.
We extract fields, normalize formats, standardize entities, and organize the data into usable tables and schemas.
Step 4: Link.
Where relevant, we connect related records, entities, and references across multiple sources.
Step 5: Deliver.
We return structured outputs that can feed reporting, analytics, investigations, or later-stage BCNN services.
Who this service is for
- Teams preparing data for analytics projects
- Organizations starting AI initiatives but lacking usable source data
- AI startups who need to accelerate working with client's data
- Audit or compliance teams dealing with fragmented records
- Investigative teams needing structured source material
- Clients with sensitive data that cannot be handled through generic public-cloud workflows
Why BCNN for data preparation
We work with difficult datasets, sensitive environments, and mixed text-plus-numerical inputs, which means data preparation is handled with the same analytical mindset that supports our broader investigative and intelligence work.
- Works with sensitive data
- Handles both text and numerical sources
- Understands downstream analytics and investigative use cases
- Can extend into graph-based analysis and reporting later
- Boutique, hands-on delivery rather than generic pipeline setup
A standalone service - or the first step into deeper analytics
For some clients, data preparation is the full engagement: they need clean, usable datasets and internal teams take it from there. For others, this service is the first layer before BCNN moves into investigative analytics, graph-based exploration, reporting, and interactive AI-assisted analysis.
Have messy data but no usable structure?
Send us a sample or describe the data environment. We'll help you assess what can be cleaned, structured, linked, and delivered as usable output.
Other services worth a look
Ready to explore?