Services
Minimize time and resources spent on resolving your data quality challenges and business goals by seeking consulting services from our highly trained solution architects.
Trusted By
Trusted By
Services
Experienced consulting for faster time-to-value
Discover and Research
Discover and ResearchProfessional Services
Ensure a holistic data strategy for your mission-critical projects including clear alignment between your data and business goals, API workflow orchestration, establishment of business rules and processes, match definitions and configurations to ensure optimal and efficient outcomes.
Strategize
StrategizeImplementation Services
Seek assistance in implementing Data Ladder software solutions from set up to execution for your data quality program. Our solution architects work with you to plan the implementation specific to your requirements including software deployment and configuration and hands-on support.
Build
BuildTraining & Certification Services
Learn the skills needed to apply Data Ladder solutions in both simple and complex scenarios via dedicated team or 1-to-1 product training or upgrade your product knowledge level from ‘Associate’ to ‘Expert’ via our certification program.
Ideate
IdeateTailored Programs
Get a customized data quality program that is tailored to your business’s specific goals and challenges. Our solution architects work with you to define the scope, requirements, and strategy required to overcome data errors, set rules for proprietary data, and increase match accuracy.
Want to know more?
Check out DME resources
Merging Data from Multiple Sources – Challenges and Solutions
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How to improve data quality: Define, design, and deliver
Today, data is no doubt one of the biggest assets of an organization. It is used everywhere – from a company’s day-to-day operations to its
Guide to pattern matching: What it means and how to do it?
Finding patterns is easy in any kind of data-rich environment; that’s what mediocre gamblers do. The key is in determining whether the patterns represent signal
How to improve data quality: Define, design, and deliver
Today, data is no doubt one of the biggest assets of an organization. It is used everywhere – from a company’s day-to-day operations to its
Guide to pattern matching: What it means and how to do it?
Finding patterns is easy in any kind of data-rich environment; that’s what mediocre gamblers do. The key is in determining whether the patterns represent signal
Data standardization guide: Types, benefits, and process
When you pull data from various applications fitted across the enterprise, you expect to receive a consistent definition and format of the same information. But