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.
N/A
Node.io (discontinued)
Score9 out of 10
N/A
Node.io was a sales intelligence platform, providing access to correlative insights and "cloned" ideal customers built upon Node's database of companies and individuals, acted upon by AI. Node.io was acquired by SugarCRM August 2020, to bolster the company's CX capabilities and predictive insights. Node.io is no longer available standalone.
N/A
Pricing
Informatica Cloud Data Quality
Node.io (discontinued)
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Informatica Cloud Data Quality
Node.io (discontinued)
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
—
—
More Pricing Information
Features
Informatica Cloud Data Quality
Node.io (discontinued)
Data Quality
Comparison of Data Quality features of Informatica Cloud Data Quality and Node.io (discontinued)
Feature
Informatica Cloud Data Quality
8.2
4 Ratings
4% below category average
Node.io (discontinued)
-
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
Prospecting
Comparison of Prospecting features of Informatica Cloud Data Quality and Node.io (discontinued)
Feature
Informatica Cloud Data Quality
-
Ratings
Node.io (discontinued)
8.2
1 Ratings
6% above category average
Advanced search
00 Ratings
8.01 Ratings
Identification of new leads
00 Ratings
9.01 Ratings
List quality
00 Ratings
6.01 Ratings
List upload/download
00 Ratings
6.01 Ratings
Ideal customer targeting
00 Ratings
10.01 Ratings
Load time/data access
00 Ratings
10.01 Ratings
Sales Intelligence Data Standards
Comparison of Sales Intelligence Data Standards features of Informatica Cloud Data Quality and Node.io (discontinued)
Feature
Informatica Cloud Data Quality
-
Ratings
Node.io (discontinued)
9.0
1 Ratings
15% above category average
Contact information
00 Ratings
8.01 Ratings
Company information
00 Ratings
10.01 Ratings
Industry information
00 Ratings
9.01 Ratings
Data Augmentation & Lead Qualification
Comparison of Data Augmentation & Lead Qualification features of Informatica Cloud Data Quality and Node.io (discontinued)
Feature
Informatica Cloud Data Quality
-
Ratings
Node.io (discontinued)
7.7
1 Ratings
3% above category average
Lead qualification process
00 Ratings
7.01 Ratings
Smart lists and recommendations
00 Ratings
10.01 Ratings
Salesforce integration
00 Ratings
10.01 Ratings
Alerts and reminders
00 Ratings
8.01 Ratings
Data hygiene
00 Ratings
5.01 Ratings
Tags
00 Ratings
9.01 Ratings
Filters and segmentation
00 Ratings
5.01 Ratings
Sales Intelligence Email Features
Comparison of Sales Intelligence Email Features features of Informatica Cloud Data Quality and Node.io (discontinued)
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Earlier this week, we had a mishap where a client's birth certificate went missing while being transferred between departments. This could have been disastrous for both our employees and the client, but Sugar allowed for quick detective work that let us track the document's passage between specific employees, and the item was located and returned!
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
Node excels when it comes to lead intelligence like account-level and market insights. Its lead management module gives better segmentation and account identification. It is a good choice for mid-size companies (50-1000 employees) and their quality of support is very satisfactory. Its searchable data gives accurate results and its ease of integration with Salesforce is an added advantage over its competitors.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Our company has increased profits 20% from last year after implementing Sugar
Our transfer to largely remote work has been hugely simplified by Sugar
Despite an industry-wide "pandemic slump", the ease of use brought by Sugar has allowed us to remain a major player in tax assistance even as other companies have struggled
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info