Earlier WLH was able to find only contact duplicates, now you can find the company duplicates by name. But to improve the performance and the accuracy we had to introduce stop-words. A stop-word is a word being ignored during company name comparing. Typical stop-words are frequently occurring words in company names: group, company, office, limited etc. You can easily build this list to tune your duplicate search.
In the search result you can see the “realty” word caused a little noisy list. In reality the “BestBuy Realty” and the “Southwest Realty Team” are different companies. We have to explain this to WLH, so add “realty” to stop-words.
That’s it, no more noise.
(Specially thanks to Nick Wolf and Libby Culmer)
Sometimes a Highrise account has thousands of contacts and the duplicate analyzer must check all to find similar emails and names. So this process may need a few minutes. We had a case when 18.000 users were in a Highrise account and more than 6 minutes needed to show the result (there was about 1000 duplicates). As you know every web-based systems have request timeout, WLH had 1,5 mins. It wasn’t enough in the previous example, so we increased it up to 10 minutes.
And we know it’s very time consuming to eliminate all the duplicates one bye one (in Highrise) . And sometimes you have to execute the same search again and again – for example when you close your web-browser. So we help your work to store the duplicate search results after the asynchronous process completed. Than you can reload them any time.
(Search result attached to the user who executed the query, so it’s secure.)
Thanks to Nick Wolf
We have seen some timeout errors in the WLH log occurred during duplicate search. Sometimes a Highrise account has thousands of contacts and the duplicate analyzer must check all to find similar emails and names. Of course it can be slow. We are trying to accelerate this process. Today we will deploy a hotfix.