The Power of Clean Data at Your Fingertips

Is your Data Quality initiative
up to the challenge?

360Science Data Quality Platforms

mDesktop

Complex Data Cleansing Made Easy

Learn more >

mSQL

Data Quality for Microsoft SQL Server

Learn more >

mHUB

{revolutionary} Data Matching API for Hadoop, SQL, NoSQL & Cloud

Learn more >

mDatabot

Your Data Steward
{Coming Soon}

Learn more >

mDesktop data matching

Point & Click Data Cleansing

mDesktop is designed to resolve many contact data quality issues – EASILY.

mDesktop includes a robust Data Matching Engine to handle your toughest matching, merging and suppression tasks. The built in ETL parsing engine Identifies, extracts, and transforms your data – ensuring even the most inconsistent data entries are properly cleansed.

mDesktop also includes a fully integrated USPS CASS CertifiedTM Address Validation Engine – AND Real-Time NCOA® processing.

Show me more
mSQL data matching and cleansing

Point & Click Data Cleansing

mSQL is a high-performance fully integrated data quality platform
For Microsoft SQL Server.

mSQL library of Data Quality Components are specifically developed to run in Microsoft SQL Server Data Tools (SSDT) using SSIS – or SQL Server Management Studio (SSMS) utilizing .NET stored procedures.

Show me more
developer view for hub

High-performance in-memory matching engine

Today’s Enterprise Big Data & Cloud environments – require an approach to data matching not supported by the traditional data quality technologies available..

Built on the 360Science matching engine – this database agnostic high-performance API delivers data matching at unprecedented speed and accuracy. on massive volumes of structured and unstructured customer data.

Take Me To It!
databot waving

Data Quality. Anywhere. Always On.

databot coming soon
BKV Bennett Kuhn Varner logo

“I’ve been very happy with 360Science mDesktop for Marketing Campaign Analysis. It’s very flexible and intuitive, and on the very rare occasions when I’ve had a problem, support has been fantastic. I definitely recommend it to anyone who has more than a passing use for data cleansing software.”

Mary Ellen, Database Analyst.

Meeting the Big
Data Quality
Challenge

“Dirty Data’ is a Business Problem, not just an IT Problem – and it costs the average company over 10% of their revenue each year. It has since Gartner® first reported on it over a decade ago. But why?

We believe it’s because the impact of data quality is not fully understood. We’ve set out to reveal the gap between the perceived impact of data quality – and reality and just how big that difference is.

Take the Big - Data Quality Challenge

360Science - Trusted By The Best

See how teams just like yours are leveraging the power of data to drive their business.

D&B Credibility Logo small
Nestle Logo
Harvard Business School logo
Fidelity Logo
Saks logo
BKV Logo small
Bank of Hawaii logo
AIG logo old small
Dicks Sporting Goods logo
experian logo
Nutrisystem logo
Chevron Logo

Ready to Get Started?

Talk to us! We’ll Show you how!

Get Started
comment icon

Pro-Tip: At 360Science we want to help. We want to listen to what you are doing, understand your challenges goals and objective and marry you to the right solution. We’re not “salesy” – we really love this sh*…err stuff!

PayPal TIO Case study

A unified view of the customer for M&A, Business Intelligence and Customer Analytics are key drivers for effective decision making and…