Demandbase is presented as a pipeline AI platform used by GTM teams to automate growth. It creates a unified view of data, insights, actions, and outcomes, so B2B enterprises can align and execute their account-based GTM strategies.
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Informatica Cloud Data Quality
Score 6.8 out of 10
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The vendor states that Informatica Data Quality empowers companies to take a holistic approach to managing data quality across the entire organization, and that with Informatica Data Quality, users are able to ensure the success of data-driven digital transformation initiatives and projects across users, types, and scale, while also automating mission-critical tasks.
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Pricing
Demandbase One
Informatica Cloud Data Quality
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Demandbase One
Informatica Cloud Data Quality
Free Trial
No
No
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
Yes
No
Entry-level Setup Fee
Optional
No setup fee
Additional Details
The Demandbase One for Sales and Marketing platform fee covers the essential software and services. In addition, there’s a flat fee per user.
Demandbase One is well-suited for ABM Marketing, providing intent-based account details, account scoring methods, and understanding account intent. It also enables creating a list of accounts and individuals for retargeting based on specific filters. Easy to integrate with Salesforce, LinkedIn, Google Ads, and multiple other channels. Advertising through the Demandbase channel is more effective for advertisers who use retargeting with the intent list.
For effective data collaboration, systematic verification of customer information, and address, among others, Informatica Data Quality is a fruitful application to consider. Besides, Informatica Data Quality controls quality through a cleansing process, giving the company a professional outline of candid data profiling and reputable analytics. Finally, Informatica Data Quality allows the simplistic navigation of content, with a dashboard that supports predictability.
The matching algorithms in IDQ are very powerful if you understand the different types that they offer (e.g., Hamming Distance, Jaro, Bigram, etc..). We had to play around with it to see which best suit our own needs of identifying and eliminating duplicate customers. Setting up the whole process (e.g., creating the KeyGenerator Transformation, setting up the matching threshold, etc..) can be somewhat time consuming and a challenge if you don't first standardize your data.
The integration with PowerCenter is great if you have both. You can either import your mappings directly to PowerCenter or to an XML file. The only downside is that some of the transformations are unique to IDQ, so you are not really able to edit them once in PowerCenter.
The standardizer transformation was key in helping us standardize our customer data (e.g., names, addresses, etc..). It was helpful due to having create a reference table containing the standardized value and the associated unstandardized values. What was great was that if you used Informatica Analyst, a business analyst could login and correct any of the values.
Relatively inexpensive service for a decent current awareness service. They have added little in sales functionality in the past year as they focused on building a marketing version of the product. Except for the addition of broader European coverage last spring (thin Equifax records), the database was static over the past year.
As pointed out earlier, due all the robust features IDQ has, our use f the product is successful and stable. IDQ is being used in multiple sources (from CRM application and in batch mode). As this is an iterative process, we are looking to improve our system efficiency using IDQ.
InsideView was extremely user-friendly. I was able to quickly understand how to efficiently use the software and get the most out of the service. I only had a short time to quickly learn how to use the functions offered by InsideView, and I felt confident within the first day of my understanding and ability to successfully use this tool.
We had an intro session with a customer success rep and were given a rundown of the platform and it was absolutely perfect. The rep was able to show us advanced search options and shortcuts that cut our search time.
We had to work with InsideView for some custom configurations example we have a custom field in Salesforce called ha location that needed let's say NJ to spell out New Jersey and make certain fields mandatory. They were easy to work with though.
We selected Demandbase based on their premium B2B DSP, their integrations with third party ad sites and our CRM and tech stack. Their intent signals and ability to integrate the data we have in Demandbase to GCP through their DataStream product to build our own models and leverage in our own dashboards has been extremely beneficial
IDQ is used by a department at my organisation to ensure and enhance the data quality. The usage was started with address standardization and now it had been brought to altogether a next level of quality check where it fixes duplicates, junk characters, standardize the names, streets, product descriptions. In the past we had issues mainly with duplicate customers and products and this were affecting the sales projection and estimates.
Save me time doing company research from an average of 25 mins to an average of 7 mins for large ICP accounts.
Save me time by integrating the contact research without jumping out of InsideView to do it in a separate app.
A morning 10 mins scan of the target company news feed gave me a high level view of the most important news that I need to know regarding my prospect accounts and their respective industries.
