Data Methodology
OUR DATA DIFFERENCE
Partnering with dozens of data providers and pioneering new methodologies, M Science has over 18 years’ experience combining data science and domain expertise to produce differentiated insights.
Data Methodology
DATA SOURCE EXAMPLES
Dozens of tested, cleansed and enriched datasets across all business verticals.
Data Methodology
FROM RAW DATA TO REALIZED VALUE
DATA ACQUISITION
Data Examples:
Credit/Debit Transactions
Point-of-Sale
Weather
Puchase Data
Mobile SDK
Meta Data
Clickstream
From several dozen providers
DUE DILIGENCE
Vetting Data
Sources Performing
Due Diligence
Due diligence review regarding data
provenance and use rights
DATA ENGINEERING & DATA SCIENCE
Data Engineering:
Anomaly Detection,
QA/QC
Data Science:
Automated Parsing,
Filtering Application
of Ai/ML Techniques
Methodologies crafted and
refined for almost two decades
RESEARCH & ANALYTICS
Analysts & Data Scientists:
Modeling, Research,
Product Development
50+ Researchers & Analysts
