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Submitted URL: http://dataladder.org/
Effective URL: https://dataladder.com/
Submission: On December 06 via manual from NZ — Scanned from DE
Effective URL: https://dataladder.com/
Submission: On December 06 via manual from NZ — Scanned from DE
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</form>Text Content
* Solutions
BY FEATURE
DATA IMPORT
DATA PROFILING
DATA CLEANSING
DATA MATCHING
DATA DEDUPLICATION
DATA MERGE PURGE
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ADDRESS STANDARDIZATION
DATA STANDARDIZATION
DATA SCRUBBING
ENTITY RESOLUTION
FUZZY MATCHING
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ACCURATE MATCHING WITHOUT FRICTION
Enhance the quality of data spread across disparate sources by uncovering missed
or overlooked matches using proprietary and established matching algorithms.
Watch overview
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WHY CHOOSE
DATA LADDER
* High match accuracy
* Real-time processing
* User-friendly UI
* Address verification
* Hands-on support
* ZIP+4 geocoding
FEATURES
WE TAKE CARE OF YOUR COMPLETE DQM LIFECYCLE
IMPORT
Connect and integrate data from multiple disparate sources
PROFILING
Automate data quality checks and get instant data profile reports
CLEANSING
Standardize & transform datasets through various operations
MATCHING
Execute industry-grade data match algorithms on datasets
DEDUPLICATION
Eliminate duplicate values and records to preserve uniqueness
MERGE & PURGE
Configure merge and survivorship rules to get the most out of data
USE CASES
A CODELESS SOLUTION THAT HELPS YOU TO ACHIEVE
Record Linkage
Entity Resolution
Fuzzy matching
Product Matching
Address Verification
Record Linkage
LINK RECORDS ACROSS THE ENTERPRISE
Seamlessly link disparate datasets – from Excel and TXT files to databases and
apps – to consolidate, identify, and remove duplicate records. Carry out
historical research in statistical agencies, link and consolidate patient
records in healthcare, detect fraud and crime, or maintain organizational data
quality.
Learn More
Entity Resolution
RESOLVE AND RECONCILE ENTITIES
Reconcile conflicting customer and name entities where there’s no unique
identifier using proprietary and established matching algorithms – such as
fuzzy, phonetic, exact, and alphanumeric – to enhance data hygiene. Build
scalable and repeatable configurations through batch scheduling or real-time API
workflows to save countless person-hours and achieve a single customer view.
Learn More
Fuzzy matching
MATCH USING FUZZY LOGIC
Identify fuzzy, mis-keyed, and abbreviated match variations across and within
disparate data sources quickly and accurately and build scalable and repeatable
match configurations. Select suitable weights to prioritize certain fields,
increase the match sensitivity to minimize false positives or have more results
for manual inspection, and select the type of fuzzy matching (character-based,
phonetic, etc.).
Learn More
Product Matching
MATCH AND CLASSIFY PRODUCT DATA
Recognize and transform complex product data to catalog products, enrich product
data, and improve product classification. Obtain clarity on distinct product
categories and missing SKUs across disparate sources to ensure efficient
inventory, stock ordering, and invoicing operations. Classify products into
industry-standard (UNSPSC, eCLASS) or custom taxonomies by automatically
deriving hierarchical product data relationships.
Learn More
Address Verification
STANDARDIZE ADDRESS DATA
Convert address details across millions of records into a consistent and usable
US and CA postal format to identify outliers and expedite data analysis. Remove
trailing and leading spaces, numbers or letters, geocode latitude and longitude
values, verify against built-in USPS database, and flag, replace, or delete
repetitive information.
Learn More
CUSTOMER STORIES
STILL UNSURE? SEE WHY OTHERS PREFER DATA LADDER
We liked the ability of the product to categorize the data in the way that we
need it, and its versatility in doing that.
AdrianSenior Product Manager, VitalWare
DataMatch Enterprise™ was much easier to use than the other solutions we looked
at. Being able to automate data cleaning and matching has saved us hundreds of
person-hours each year.
Shelley HahnBusiness Development, St. John Associates
We obtained 24% higher match rate using DataMatch Enterprise™ versus our
standard vendor.
Andrew BrownellStrategy and Analytics Consultant, Enterprise Content Solutions
We liked the ability of the product to categorize the data in the way that we
need it, and its versatility in doing that.
AdrianSenior Product Manager, VitalWare
DataMatch Enterprise™ was much easier to use than the other solutions we looked
at. Being able to automate data cleaning and matching has saved us hundreds of
person-hours each year.
Shelley HahnBusiness Development, St. John Associates
LET’S COMPARE
HOW ACCURATE IS OUR SOLUTION?
In-house implementations have a 10% chance of losing in-house personnel, so over
5 years, half of the in-house implementations lose the core member who ran and
understood the matching program.
Detailed tests were completed on 15 different product comparisons with
university, government, and private companies (80K to 8M records), and these
results were found: (Note: this includes the effect of false positives)
Features of the solutionData LadderIBM Quality StageSAS DatafluxIn-House
SolutionsComments Match Accuracy (Between 40K to 8M record
samples)96%91%84%65-85%Multi-threaded, in-memory, no-SQL processing to optimize
for speed and accuracy. Speed is important, because the more match iterations
you can run, the more accurate your results will be. Software SpeedVery
FastFastFastSlowA metric for ease of use. Here speed indicates time to first
result, not necessary full cleansing. Time to First Result15 Minutes2 Months+2
Months+3 Months+ Purchasing/Licensing Costing80 to 95% Below
Competition$370K+$220K+$250K+Includes base license costs.
INDUSTRIES
DOESN’T MATTER WHERE YOU’RE FROM
Healthcare
Education
Government
Retail
Finance and Insurance
Sales and marketing
Healthcare
Education
Government
Retail
Finance and Insurance
Sales and marketing
Want expert advice on data quality?
PROFESSIONAL SERVICES
Ensure a holistic data strategy for your mission-critical projects including
clear alignment between your data and business goals
IMPLEMENTATION SERVICES
Seek assistance in implementing Data Ladder software solutions from set up to
execution for your data quality program.
TAILORED PROGRAMS
Get a customized data quality program that is tailored to your business’s
specific goals and challenges to define the scope and strategy required.
TRAINING AND CERTIFICATION
Learn the skills needed to apply Data Ladder solutions in both simple and
complex scenarios via dedicated team or 1-to-1 product training.
SERVICES
WANT EXPERT ADVICE ON DATA QUALITY?
PROFESSIONAL SERVICES
Ensure a holistic data strategy for your mission-critical projects including
clear alignment between your data and business goals
IMPLEMENTATION SERVICES
Seek assistance in implementing Data Ladder software solutions from set up to
execution for your data quality program.
TRAINING AND CERTIFICATION
Learn the skills needed to apply Data Ladder solutions in both simple and
complex scenarios via dedicated team or 1-to-1 product training.
TAILORED PROGRAMS
Get a customized data quality program that is tailored to your business’s
specific goals and challenges to define the scope and strategy required.
WANT TO KNOW MORE?
CHECK OUT DME RESOURCES
MERGING DATA FROM MULTIPLE SOURCES – CHALLENGES AND SOLUTIONS
DATA QUALITY MEASUREMENT: WHEN SHOULD YOU WORRY?
In March 2017, Rescue 116 crashed into a 282ft obstacle – the Blackrock Island
off the County Mayo coast. Further investigations revealed that the CHC
WHAT IS DATA PROFILING: SCOPE, TECHNIQUES, AND CHALLENGES
Today, enterprises highly depend on data for growing their businesses and
scaling their goals and expectations. Huge efforts are being invested in
devising the perfect
DATA QUALITY MEASUREMENT: WHEN SHOULD YOU WORRY?
Zara Ziad December 2, 2021
In March 2017, Rescue 116 crashed into a 282ft obstacle – the Blackrock Island
off the County Mayo coast. Further investigations revealed that the CHC
WHAT IS DATA PROFILING: SCOPE, TECHNIQUES, AND CHALLENGES
Zara Ziad November 22, 2021
Today, enterprises highly depend on data for growing their businesses and
scaling their goals and expectations. Huge efforts are being invested in
devising the perfect
WHY DUPLICATES EXIST AND HOW TO GET RID OF THEM?
Zara Ziad November 15, 2021
According to Natik Ameen, Marketing Expert at Canz Marketing, duplicate data in
the company’s CRM happens due to a range of reasons: “from a human error
Resource Center
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TRY NOW OR GET A DEMO WITH AN EXPERT!
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Data Ladder offers an end-to-end data quality and matching engine to enhance the
reliability and accuracy of enterprise data ecosystem without friction.
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* 68 Bridge St. Suite 307 Suffield, CT 06078
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