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.

Your Raw Data

Unstructured Inputs

"scan_004.pdf"
"vendor_contract.msg"
"transaction_log.csv"
"osint_report.pdf"
ERP & CRM
Internal documents

Networks Notebook

The Result

Entity Resolved

Acme Corp = Vendor A

96% confidence

Anomaly Flagged

Non-standard payment terms (Net 90)

High

Relationship Identified

Linked to Person X via 3 transactions

Confirmed

Timeline EventContract amended 4d after complaint filed

Sources

scan_004.pdf (p. 12)RE: T&C e-mail 12.12.09

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.

Discuss your dataset →

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