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
Professional 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
Implementation 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
Training & 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
Tailored 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
Oops! We could not locate your form.
The Truth About Data as a Service (DaaS): Why It All Breaks Without Data Matching
Everyone’s Talking About DaaS, Few Are Ready for It The concept of Data as a Service (DaaS) is having its moment. On paper, it’s easy
Big Data Analytics Is Booming – But Is Your Data Ready for It?
Amazon generates 35% of its revenue from data-powered recommendations. Netflix enjoys an 89% retention rate by personalizing every experience using viewer behavior, preferences, and interaction
The Truth About Data as a Service (DaaS): Why It All Breaks Without Data Matching
Everyone’s Talking About DaaS, Few Are Ready for It The concept of Data as a Service (DaaS) is having its moment. On paper, it’s easy
Big Data Analytics Is Booming – But Is Your Data Ready for It?
Amazon generates 35% of its revenue from data-powered recommendations. Netflix enjoys an 89% retention rate by personalizing every experience using viewer behavior, preferences, and interaction
Data Ethics in the Age of AI: Why Responsible Matching Matters More Than Ever
When AI systems deliver inaccurate or inequitable results, many people immediately assume that something went wrong in the algorithms. Rarely do we look upstream –
