Post by: Emily Salus in Data orchestration
At the speed that most sales organizations move these days, Sales Operations and Marketing Operations are constantly being asked to update their lead routing rules. Sales reps are rightfully very possessive of their accounts and leads, and when a lead…
Post by: Emily Salus in Data orchestration
For many operations leaders, deduplicating leads, contacts, and accounts can seem like lower-level work. Work that’s deemed to be easily done “later” on a date that constantly gets pushed further into the future. Instead, operations leaders need to understand the…
Post by: Allen Pogorzelski in Data orchestration
Lead to account matching is an important, but often unappreciated, process. You need it for higher-level marketing and sales business processes like lead routing, lead and account scoring, and attribution. What is Lead to Account Matching? When a prospect fills…
Post by: Emily Salus in Data orchestration
Not long ago, a prospect mentioned that their primary need was to normalize job titles and that he’d been searching online for a solution to do this. While I understood the goal, this wasn’t, in fact, the right thing to…
Post by: Ed King in Data orchestration
This is part 8—and the last—of our blog series on data enrichment. Here are some tips and things to consider when deploying an enrichment data service into production.
Post by: Ed King in Data orchestration
This is part 7 of our blog series on data enrichment. Once you have your requirements clearly defined and have assembled a shortlist of data providers to evaluate, it’s time to run a match test. Here are some recommendations and…
Post by: Ed King in Data orchestration
More often than not, the issue with data quality is not the absence of data, but incomplete, non-uniform, and unstructured data. Consider these alternatives to paid services.
Post by: Ed King in Data orchestration
Data Enrichment GDPR Compliance: Got EU citizen data in your marketing and sales database? GDPR can severely limit your choice of data enrichment providers.
Post by: Ed King in Data orchestration
Factors to consider when you choose a data enrichment vendor. Single vendor or best of breed; cost; consumption model; the data supply chain, and more.
Post by: Ed King in Data orchestration
There is no one perfect database good for every company. First, you need to identify the data providers who have good coverage for your customer profiles.