Oracle DaaS vs. Informatica Cloud Data Quality vs. Resolver

As a small company, there is a bit critical to choose Daas as the plans are high and support is available but not at that much priority. A company that wants to invest in the future can go with that. As every software has it's own pros and cons using the Oracle Daas we can build the best future sales planning and DB integration with our consumers to support worldwide level code.

Incentivized

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.

Incentivized

At $95 per month for unlimited seats, it's the cheapest solution for both support and marketing/sales teams if you need multiple seats. At the same time, everything works so smoothly and efficiently that you'd never believe it is such a cheap tool. Small teams could leverage their Free plan or the Pro tier, however, to get access to advanced features like chatbots or CRM integrations you'd need to get the unlimited package. Magic Browsing is another top feature that allows support teams to see what the client is doing on the website and guide him through the needed steps to troubleshoot any issues

Incentivized

• Customer Service
• Transparency
• Connect ability

Incentivized

• 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.

• Intuitive chatbot functionality
• Unlimited number of live agents at one fixed price
• Real-time assistance with cobrowsing feature
• A decent number of integrations with popular tools

Incentivized

• Prices and plans are higher not for mid level companies.
• Not supported to all programming languages.
• Need to go with more detail in user interface.
• Provide more support to customers.

Incentivized

• Several partnerships diminishing the value of technologies
• Unable to get list of objects from Repository (like sources & targets) that don't have any dependency
• Scheduling: The built-in scheduling tool has many constraints such as handling Unix/VB scripts etc. Most enterprises use third party tools for this.

• Number of native integrations could be bigger
• Additional features for improving conversions like popup banners or guided tours to allow clients to combine multiple tools into one (like Intercom does)

Incentivized

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.

Easy to use not only for developers but also business users

Incentivized

The application works well except an occasional error out while using the system. It usually gets fixed when restarting the Infa server

Incentivized

Performance works just fine. It was able to load 200+ business terms, 150+ DQ automation, etc. very well.

Incentivized

Better in every way, less modeled and more accurate audience segments

Incentivized

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.

Crisp has fewer auxiliary features that Intercom (popup builder and guided tours is something that comes to mind), however [I feel it] has MUCH better pricing tiers. It does 95% of things Intercom can do at 5% of the price. Both Drift and Freshworks provide similar solutions which are more expensive, but also have technical issues, which resulted in poorer performance of our website

Incentivized

Scalability works as expected and it is truly an enterprise system.

Incentivized

• Costs are increase but production is also increase.
• Need more UI features.
• Better DB integration provide more support to the code.

Incentivized

• Integration with tools like PowerCenter helped faster delivery of product, and at the same time conversion
• Reduce overall project cost due to bad data , bad quality, exceptions identified nearing go-live and post production
• Employee efficiency is increased exponentially due to more automated, customized tool

• Radically increased conversion rates due to proactive chat bots
• Increased customer satisfaction due to stellar support (built in screen share saves a ton of time for troubleshooting, unlimited number of agents helps to improve response times etc)
• Saved hours of time of support team

Incentivized