D&B Connect vs. OvalEdge

It is best suited when you don't want to just spray and pray kind of a scenario, this helps in targeting just the right people for making a sale. You can search people based on industry, function, level of seniority, geography, designation, etc. Mostly there are no scenarios where it is not appropriate in particular, if you don't want buyer intent data then in that case it is expensive and you can look for other options.

Incentivized

Since we hired OvalEdge, we feel very accompanied throughout the process.

• Searching people who have the intent to buy your services or products.
• It has as very good filter that helps pinpoint your targeted audience.
• It has a large pool of contacts within the company, so helps to reach out to the right person via several connections.
• The data available is fresh and current.

Incentivized

• Features to control performance based on specific needs
• 24x7 support to get issues resolved
• API support

Incentivized

• in my opinion having to split usage between United States and International does not make sense on why this needs to be done....recommend eliminating this
• need for improvement on error resolution....when an error is found the D&B resolution team is EXTREMELY difficult to work with...very clunky and automated when there is a need for personnal interaction

Incentivized

• OvalEdge cannot find PII in unstructured data

Incentivized

D&B Connect allows for a huge array of data values to choose from. Tamr is limited in that it only assists in identifying duplicate data records and highlighting the most accurate record from among the duplicates based on customizable filters.

Incentivized

We looked at many other data catalogs, but none of the others fit all our use cases.

• ROI can be achieved anywhere between 6 to 12 months depending upon your business.
• The product is expensive but the data provided is good to an extent and a big sale can help achieve your ROI.
• The data accuracy sometimes can be bad leading to bad domain reputation.

Incentivized

• Data Lineage and Impact Analysis