Project Overview
The Company:
A leading French data aggregation and market intelligence company
Industry:
IT & Analytics
Business Needs
The client wanted to maintain voluminous hospitality database of over 14.5 million records constantly updated with accurate data. It wanted to implement a data standardization process, involving verification, validation, enrichment and append. With the quality data they intended to increase conversions and market share.
The Challenges
- Transitioning from client’s in-house data management set-up to Hitech at short notice
- Hiring and training a team of data specialists with extensive experience of working on hospitality projects
- Integrating 50 fields for every single record collected from multiple unstructured and structured sources
- Maintaining a 12-hour cycle to deliver cleansed and enriched leads database
- Accommodating frequent changes based on shifts in business priorities
Solutions and Results
Want to cleanse your data with 100% accuracy?
Speak to us today- After initial assessment, we documented a workflow involving a mix of manual and automated steps.
- Macros were used to validate 14.5 million records. For Fuzzy or low confidence data rule-based validation was used. Junk data (5-10%) was manually validated before integrating with the clean data pool.
- Data was scraped using bots and crawlers. Random checks were initiated to ascertain contact validity.
- Records were segmented by assigning industry codes as per client login and hospitality industry standards.
- Data was sent to the client – through automatic upload on FTP servers – according to predefined protocols and relevance to the marketing campaigns.
- Dashboards helped the client to get real-time insights on the amount of data processed and data demographics.
- 2 million plus records were successfully authenticated in real-time and pushed into CRM annually, as data cleansing was significantly expedited.
Business Impact
CRM updated with 100% accuracy
Significantly improved CX
Enhanced sales revenue and marketing ROI
