Empowering finance institutions with AI data quality & entity resolution

Unlock hidden relationships between entities, resolve dirty data challenges, and meet regulatory compliance goals with WinPure’s AI-powered data quality & entity resolution solution. Our platform resolves inconsistencies and automates data quality, putting clean, unified data at your fingertips.

data quality and data matching for financial institutions

40% of customer data held by FSOs is inaccurate or incomplete

Imagine critical decisions hampered by inaccurate customer records, missed fraud opportunities due to inconsistent information, and operational inefficiencies caused by redundant data entries. These are just some of the issues plaguing financial institutions, leading to an estimated 15% revenue loss annually.

WinPure’s end-to-end data quality platform tackles this challenge head-on to enhance data management in financial institutions. By cleansing and standardising your data, WinPure eliminates duplicates, corrects inaccuracies, and integrates information across systems. This empowers you with a single source of truth, enabling smarter risk management, optimised operations, and ultimately, a significant boost to your bottom line.

Big Data Technology, Data Science Data Scientist, Querying, Analysing

Need help transforming your data?

Download Free Trial

How WinPure enhances data management in finance institutions

duplicate records

Eliminate duplicate records

Duplicate identities and fraudulent details enable criminals to exploit loopholes in data systems to steal money and identities—which can be especially devastating for financial institutions. WinPure’s identity resolution, backed by Senzing’s revolutionary AI technology, can identify duplicates even if the data is dirty or disparate. Resolving duplicates is key to preventing fraud.

disparate date

Unify dirty and disparate date

Financial institutions struggle with disparate data streaming in from multiple sources. Cleaning and consolidating financial data demands seamless connectivity to data sources. WinPure’s platform allows users to connect to various databases and file formats, enabling easy data merge and purge – without losing or corrupting original data or compromising data quality in financial institutions.

cleansing processes

Automate manual data cleansing processes

WinPure provides financial organisations with an easy no-code approach. This means both finance professionals and IT teams can identify and rectify mismatches in their datasets. It automates data cleaning tasks, saving time and resources typically spent on manual data scrubbing. This helps financial institutions organise a unified data set for accurate analysis and improved decision-making.

goals faster

Achieve KYC/AML goals faster

By enabling data cleaning & entity resolution, WinPure empowers financial institutions to improve KYC/AML processes and minimise the risk of non-compliance. This enables significant benefits including reduced costs through automation, improved efficiency with faster onboarding and streamlined checks, and minimised risk of hefty fines and reputational damage associated with non-compliance.

winpure solutions

Effective data management in finance institutions results in increased value

10%

increase in operational efficiency with improved data.
Source: Gartner

15%

reduction in fraud losses with better identity resolution.
Source: Experian

10%

increase in customer satisfaction with cleaner data
Source: Gartner

Finance Case Study: How HDL used WinPure’s Clean&Match to increase revenue by $1M

The HDL Group of Companies is an audit and revenue management firm. They struggled with manual processes of data matching and needed an automated method that could help them improve lead match scoring. See how the company achieved all this and improved revenue by $1Million. 

Read Case Study

hdlcompaniescasestudy

Recommended by industry leaders
Rated by leading platforms

Eric Branson
Eric Branson
Founder of Highr

Definitely recommend WinPure for anyone dealing with large quantities of data. The fuzzy matching is really intuitive and after a bit of testing with the settings it ends up being able to remove dupes better than anything else I've ever tried.

alexander
Alexander Goldenberg
Director of Information Technology and Operations

Using WinPure shaves hours off when comparing data from different sources. Its very fast and the results are brilliant. The product support and ease of use are great. The support team is very knowledgeable and easy to connect with.

ed 100 150x150 1
Edward B.
Company Owner

We perform multiple matching projects for our clients and WinPure has filled the bill for these. The product is very easy to use, incredibly fast and we can complete a large matches in a very short time.

richard 100 150x150 1
Richard F.
Company Owner

WinPure is a really great product, we've been using it with excellent results for many years now, for finding and removing duplicate records and to keep our lists and database more accurate.

cynthia 100 150x150 1
Cynthia T.
Director of Information Technology

WinPure Clean & Match Enterprise works really great to analyze data and find duplicated customer records. It saves us tons of money when mailing catalogs. This is a great product for the money and easy to use.

naveed 100 150x150 1
Naveed B.
IT Consultant

A very powerful but easy to use tool for cleansing and removing duplicates from databases. I have used Clean & Match for many of my clients, and I am regularly recommending this product to other companies.

Download the 30-Day Free Trial

and improve your data quality with no-code:

  • Data Profiling
  • Data Cleansing & Standardization
  • Data Matching
  • Data Deduplication
  • AI Entity Resolution
  • Address Verification

…. and much more!

"*" indicates required fields

Hidden
This field is for validation purposes and should be left unchanged.

Frequently asked questions

Why is data management in finance institutions important?

Effective data management is essential for financial institutions as it can contribute to regulatory compliance, risk mitigation, decision-making, and customer experience.

What are some common data challenges solved by WinPure?

Finance professionals often encounter challenges in managing isolated data in silos, ensuring data consistency and quality, transitioning from legacy systems to modern ones, and protecting sensitive financial data. All these challenges are addressed effectively by WinPure’s AI-powered data quality & entity resolution solution.

How can data quality in financial institutions be improved?

Investing in modern technology, conducting regular data quality checks, fostering collaboration between IT, finance, and compliance teams, and training staff on data management best practices are advised to improve data quality.

WinPure