Keep Data Clean and Up-To-Date

According to Hubspot, your database degrades over time by an average of 22.5 percent per year. People graduate, change jobs, get married — and their emails change or fall out of use in the process. So it’s important to keep your database up-to-date and clean; otherwise, you’re reducing the effectiveness of every action you take. Your sourcing and recruitment efforts can only be successful if your talent pools and recipient list are top quality. Merge duplicate records, keeping only the most recent information on file, and avoid stagnant data by asking your database to refresh their personal details on a regular basis.

My advice would be: become a data hoarder and practice data hygiene. Having clean data that can be enriched and augmented as more data is collected on your key target talent segments is critical. One of my favorite sayings from last century - GIGO (garbage-in; garbage-out) - is especially relevant in the digital age.”

Marvin Smith

Talent Engagement Strategist

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Avature Advantage

Define what to do with duplicates based on the criteria of your choice (e.g. name, email, phone number). The system will then take care of merging duplicate records as they appear.

– Keep track of key indicators such as number of duplicates or people with missing contact information in the Clean-Up Dashboard.

Invite candidates to update their information on a predefined basis with Avature Portals and Portal Access Requests. New data can automatically replace old details in their person record.

Related Content

Discover how these industry leaders are leveraging Avature functions to keep their data clean and relevant.

Cisco uses drip campaigns to ensure leads such as silver-medallists and eligible ex-employees stay warm. To make the most of this contact, this information is sent as a portal access request to encourage candidates to keep their information updated.

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L’Oréal is using Avature to implement its data acceleration strategy. It is made up of four key pillars: data collection and maintenance, data leveraging, data intelligence and data hygiene. 

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