B2B Data Validation - An Undeniable Need for B2B Databases

++ ++ B2B Data Validation OICAL An Undeniable Need NODE O ror MEDICAL Sohtext NODE 03 bpy BLOCK O1 NODE 01 ypes.Ope Business deal with databases – cluttered with outdated, invalid or incomplete information. With new startups, mergers and acuisitions happening, companies, jobs and titles, dirty data has become inevitable. Without professional B2B data validation, the situation won't improve. people regularly drifting between Business Need for B2B Data Validation In general Annually 10 to 25% of B2B data turns inaccurate 20% Contact databases decays every year of employee job data remains valid (30% of employees switch their jobs) of marketers are not 49% 70% confident in their B2B data 81% of enterprises face contact database validation challenges 76% of company names remain valid (24% companies change their names) (73% of data remains unused due to absence of quality data validation 57% of companies phone number remains valid (43% cases account for phone number change) of people promotion data remains valid (34% of people get new title) 35% of raw lead data is flawed 66% of email database remains valid 63% (37% of email address change) Data Decays Rapidly Constant Data Changes Technographic Changes People Profile Changes Firmographic Changes Demographic Changes Technology stacks do not People gain experience and update their skills. Some retire, some switch Merger and acquisition affect company names, brand names and product People move to new city, remain the same and lists county, state or country. change. The integration undergoes Email addresses and contact numbers change. jobs / get promoted, some complete education. frameworks information. Revenues People update their social media profiles. periodical update. fluctuate. New hires and lay offs affect employee strength (size). Improper Database Management Incomplete and redundant Databases Lack of scientific Data is logically progressively get clogged with dirty data data validation inconsistent records in database process How B2B Data Validation Works? Loop Back Validation Ongoing Validation Tracking Anomalies Data Validation Certification intelligence Aggregation based Ongoing process of Centralized process Data certidfication Mechanism for technique to validate and certify data data validation source-to source to track recurrent continuos insights on issues, bolster preventive framework, and process that validation of data validation statistics cross-match data across different before it enters the to help you stay stages in the pipeline. with original data final warehouse. aware of root sources. remove anomalies. cuases. Benefits of Data Validation for B2B Data Aggregators High Quality Databases Strong data validation create meaningful relationships between data fields and ensures referential integrity. Validation normalizes data. Empty data fields cannot pass the validation stage. It is a criteria for completeness. After multiple validations a data element is tagged accurate. B2B Database Quality Minimized Cost Validation works as a lead filtering mechanism and helps you eliminate spend on invalid leads. You will also save millions of dollars that go into lead maintenance. per Lead Optimized Database Cost Regular data purging and validation ensures constant optimization of memory usage. It eliminates unnessary memory consumption costs. Improved end Client Satisfaction Data validation enhances your confidence in lead database and you can drive segmentation-based campaign strategies and elevate customer satisfaction. Data validation involves multiple checks for eliminating invalid data. For a contextually efficient and logically effective data validation process, hire data validation experts with industry-proven best practices. Opting for outsourcing data validation is a smart move. hitech h www.hitechbpo.com [email protected] Your Partner in Process Excellence Copyright © 2022 Hitech BPO. All rights reserved.