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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Nielsen Marketing Cloud
Score 7.6 out of 10
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Neilsen Marketing Cloud includes a Data Management Platform (DMP), Media Planning and Optimization, Data as a Service (DaaS), Multitouch Attribution Analytics, Inflight Analytics, and integrations to different digital media channels as well as to content marketing, creative testing, search, email and social media platforms. It's designed to enable marketers to plan, execute, and report on all of their marketing activities from one place.
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Pricing
Informatica Cloud Data Quality
Nielsen Marketing Cloud
Editions & Modules
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No answers on this topic
Offerings
Pricing Offerings
Informatica Cloud Data Quality
Nielsen Marketing Cloud
Free Trial
No
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
Informatica Cloud Data Quality
Nielsen Marketing Cloud
Features
Informatica Cloud Data Quality
Nielsen Marketing Cloud
Data Quality
Comparison of Data Quality features of Product A and Product B
Informatica Cloud Data Quality
8.2
4 Ratings
3% below category average
Nielsen Marketing Cloud
-
Ratings
Data source connectivity
8.94 Ratings
00 Ratings
Data profiling
8.74 Ratings
00 Ratings
Master data management (MDM) integration
8.24 Ratings
00 Ratings
Data element standardization
7.14 Ratings
00 Ratings
Match and merge
7.94 Ratings
00 Ratings
Address verification
8.44 Ratings
00 Ratings
Data Collection
Comparison of Data Collection features of Product A and Product B
Informatica Cloud Data Quality
-
Ratings
Nielsen Marketing Cloud
8.3
6 Ratings
2% above category average
Collection of first-party data
00 Ratings
8.56 Ratings
Collection of third-party data
00 Ratings
8.55 Ratings
Access to Third-party Data Providers
00 Ratings
7.95 Ratings
Data Classification
Comparison of Data Classification features of Product A and Product B
Informatica Cloud Data Quality
-
Ratings
Nielsen Marketing Cloud
8.6
6 Ratings
4% above category average
Audience taxonomy
00 Ratings
8.26 Ratings
Tag Management
00 Ratings
8.25 Ratings
Data Analysis Dashboard
00 Ratings
9.46 Ratings
Ad Network Integration
Comparison of Ad Network Integration features of Product A and Product B
Informatica Cloud Data Quality
-
Ratings
Nielsen Marketing Cloud
7.9
5 Ratings
1% below category average
Data Transfer
00 Ratings
7.95 Ratings
DSP integration
00 Ratings
7.95 Ratings
DMP Analytics
Comparison of DMP Analytics features of Product A and Product B
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.
Best suited for scenarios involving detailed analysis of customer data and demographics. Allows for complex investigation of customer and audience details. Less well suited for scenarios involving simultaneous collaboration on analysis. This product is not the best for collaboration and is better suited for individual work and individual forms of analysis.
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.
I just like the manner it handles the analytical rationalization of giving a standing and updates of the inner and outside beliefs of Marketing analysis.
It facilitates me apprehend clients' desires and offers advice on a way to fulfill their desires.
When I am making plans and instinctually recognise what purchasers are going to purchase, I depend upon their real-time records to validate my assumptions and tell our media buys.
Automatic rewards with the media Connections. The availability of records and the alternatives to make our customer's picks understandable.
More segments need to be created as often as possible
Sometimes it is hard to optimize these segments when the CTR is low - segments make it difficult to pull out zones/sites that are dragging down the CTR because they are so narrowly targeted.
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.
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.
Nielson Cloud helps businesses find, recruit, and create new advertiser client bases, as well as stand out in a crowded public space. Measure linear and digital media metrics across channels aids in giving insights in an efficient manner. Nielson Cloud also assists businesses in maximising ROI by analysing how their marketing and advertising reaches and influences audiences throughout the customer lifecycle.
We are using it for analytics, statistics control, and for a single pane of glass and reviews for our senior leadership. We fetch significant insights from this device which can be then provided to our stakeholders to higher understand the achievements and loopholes.
We can make Marketing strategies with the help of this. Also, it is benefiting financially and getting productive.