TechValidate Research on Informatica

155 Charts – Page 1 of 6


Informatica Customer Research

What are up to your top 3 most important areas Informatica can improve for your future data privacy strategy needs?

Platform cost efficiencies and time to value (e.g., automation, resource sharing)
67%
Stay current with new regulatory mandates (policies)
50%
Increase cloud-hosted deployment options (e.g., SaaS offering)
50%
Deployment and maintenance (problem-solving, post-sales assistance)
50%
Extensions and APIs, third-party apps, etc.
33%
Expanded solution coverage (file types, data stores, applications, etc.)
33%
Extend integration with Informatica data management solutions
17%
Unique innovations (patents, AI and ML, specialized use cases)
17%
User experience / ease-of-use
17%

Informatica Customer Research

What are your organization’s up to top 3 goals of a long-term data privacy governance program?

Democratize data for safer enterprise use (e.g., data marketplace)
80%
Automate response to data subject inquiries (e.g., DSARs)
60%
Support privacy compliance mandates (e.g., CCPA/GDPR data anonymization, etc.)
60%
Cloud migration for hosted service apps, collocated environments (e.g., SaaS solutions)
40%
Manage consent for consumer privacy (e.g., data retention and minimization, etc.)
20%
Apply guided analytics decision making to reduce critical risk exposure
20%
Expand our Informatica data management solutions with data privacy governance
20%

Informatica Customer Research

What are your organization’s top goals for a long-term data privacy governance program?

Democratize data for safer enterprise use (e.g., data marketplace)
80%
Automate response to data subject inquiries (e.g., DSARs)
60%
Support privacy compliance mandates (e.g., CCPA/GDPR data anonymization, etc.)
60%
Cloud migration for hosted service apps, collocated environments (e.g., SaaS solutions)
40%
Manage consent for consumer privacy (e.g., data retention and minimization, etc.)
20%
Apply guided analytics decision making to reduce critical risk exposure
20%
Expand our Informatica data management solutions with data privacy governance
20%

Informatica Customer Research

How are Organizations Realizing the Most Value from Informatica’s Data Privacy Management?

Excellent Significant As Expected Poor

Discover and classify sensitive info: datastore, types, and app insights
Subject registry data and identity mapping (e.g., DSAR report automation)
Risk assessment analytics for guided planning
Monitoring user access and security policy violations
Orchestrating risk remediation for data protection: masking, minimization, etc.

Informatica Customer Research

How is Data Privacy Management Used Most Frequently?

Always Often As Required Rarely Not Applicable

Discover and classify sensitive info: datastore, types, and app insights
Subject registry data and identity mapping (e.g., DSAR report automation)
Risk assessment analytics for guided planning
Monitoring user access and security policy violations
Orchestrating risk remediation for data protection: masking, minimization, etc.

Informatica Customer Research

Why do customers choose Informatica for data privacy governance solutions?

Top 3 Informatica differentiators for data privacy

Cost or price-performance
14%
Track record of continuous innovation and vision
14%
A single integrated and extensible platform
57%
Ability to operate at global scale (e.g., unlike point solutions)
29%
Confidence in vendor reliability, sustainability
43%
Strong brand reputation, trusted
14%
Solution feature set vs. competitive offerings
29%
Support services – pre-sales, implementation, technical support
14%

Informatica Customer Research

Which Informatica data privacy governance products have you deployed to help address your data privacy requirements?

Deployed Purchased Evaluated Considered Disqualified

Informatica Axon Data Governance
Informatica Data Masking
Informatica Data Privacy Management
Informatica Enterprise Data Catalog (EDC)
Informatica MDM Customer 360

Informatica Customer Research

Please rate your frequency of use for these capabilities in Data Privacy Management, if applicable.

Always Often As Required Rarely Not Applicable

Discover and classify sensitive info: datastore, types, and app insights
Subject registry data and identity mapping (e.g., DSAR report automation)
Risk assessment analytics for guided planning
Monitoring user access and security policy violations
Orchestrating risk remediation for data protection: masking, minimization, etc.

Informatica Customer Research

Digital Commerce

Business value generated:

$10 million or more: 19%
$ 5m – 10 m: 6%
$ 1m - $5m: 31%
$ 500K - $1m: 19%
$500k or less: 25%

Informatica Customer Research

Revenue Generation

Informatica customers have increased, or expect to increase, revenue generation with Informatica’s MDM/360 Solutions in the following areas:

Faster assimilation of mergers and acquisitions
28%
Increased market share
50%
Expansion into new geographies and/or market segments
50%
Other
33%

Informatica Customer Research

Revenue Generation: Have you increased, or do you expect to increase revenue generation with Informatica’s MDM/360 Solutions in some on these areas?

Faster assimilation of mergers and acquisitions
28%
Increased market share
50%
Expansion into new geographies and/or market segments
50%
Other
33%

Informatica Customer Research

Approximately how much time did it take to go live with your MDM solution?

Longer than a year
43%
Less than 12 months
20%
Less than 9 months
20%
Less than 6 months
15%
Less than 3 months
3%

Informatica Customer Research

Which domains are you mastering with MDM?

Customer
68%
Product
39%
Employee
15%
Supplier
12%
Material
10%
Patient
10%
Citizen
7%
Finance
5%
Equipment
2%
Location
2%
Other
10%

Informatica Customer Research

Business Value Generation Using MDM Solution(s)

How much total business value has been generated in the following areas using Informatica’s MDM Solution(s)?

$10 million or more $ 5m – 10 m $ 1m- $5m $ 500K - $1m $500k or less

Risk Management
Digital Commerce
Revenue Generation
Efficiency/Productivity
Cost Control
Customer Experience

Informatica Customer Research

How much data does your data pipeline process in a day?

Gigabytes (GB): 61%
Terabytes (TB): 39%
Petabytes (PB): 0%

Informatica Customer Research

What percentage of total data volume are you ingesting from the following data sources?

0%-10% 10%-25% 25%-50% Greater than 50%

Files
Databases
Streaming

Informatica Customer Research

What percentage of total data volume are you ingesting from the following data sources?

0%-10% 10%-25% 25%-50% Greater than 50%

Files
Databases
Streaming

Informatica Customer Research

What is the business impact due to poor quality data?

Low data trust
77%
Inability to quickly make business decisions
77%
Compliance violations
39%
Negative impact on revenue
42%
Other
3%

Informatica Customer Research

Small and Midsized Business Choose Informatica

Over other MDM/360 Solutions vendors for the following reasons.

Best of breed MDM specific functionality
57%
One single vendor for all data management needs
43%
Trusted vendor with strong brand reputation
43%
AI/ML-driven vision and roadmap
29%
Best understanding of business and technical needs
29%

Informatica Customer Research

Global 500 Companies Choose Informatica

Over other MDM/360 Solutions vendors for the following reasons.

One single vendor for all data management needs
75%
Trusted vendor with strong brand reputation
75%
Best return on investment/total cost of ownership
50%
Best understanding of business and technical needs
50%
Cloud roadmap
50%

Informatica Customer Research

Global Fortune 500 Companies Rate Informatica

When compared to other MDM/360 Solution vendors’ capabilities.

Best in class Significantly better Better worse

Workflow / BPM
Loading / Synch / Business Services
Data Modeling
Information Quality / Semantics
Perform / Scale / Availability / Security
Hierarchy Management
Information Stewardship Support
Information Governance Support
Multiple Implementation Style Support
Product Suite Internal Integration
Multiple and Multi-domain Support
Multiple Usage Scenario Support

Informatica Customer Research

What benefits are you getting or expecting from an off-the-shelf cloud-native data management solution?

Now In future

Simplify your life with modern tools
High productivity with intelligent automation
Scale up and down fast
Lower cost of managing data
Improve data quality
Improve data governance

Informatica Customer Research

Select all public cloud and technology vendors you are leveraging.

Microsoft Azure
67%
Amazon Web Services
57%
Snowflake
30%
Google Cloud Platform
27%
Databricks
13%
Other
10%

Informatica Customer Research

Which of the following features of the Informatica cloud data management platform are important to you?

Serverless
10%
Bulk or real-time data Ingestion
70%
Advanced data transformation
60%
Push down optimization
37%
Change data capture
60%
Orchestration of data flows
67%
Auto tuning
30%
Spark in Kubernetes
3%
Data profiling, standardization, matching and address verification
57%
Automated python transformation
23%
Other
3%

Informatica Customer Research

What are your reasons for choosing Informatica data management solution over competitors?

Single vendor for all data needs
44%
Product functionality and performance
75%
Product roadmap and future vision
28%
Breadth of services
41%
Pricing
6%
In-house skills
28%
Other
9%

Informatica Customer Research

What are the important capabilities for your cloud-native data management platform?

Scalable data integration
84%
Automation tools with AI and ML for developers and runtime
34%
A serverless option or way to completely eliminate infrastructure management
22%
Ability to coexist with multiple cloud platforms like AWS, Azure, GCP, etc.
38%
Spark support for large, complex data integration mapping tasks
25%
Moving to a completely usage-based cloud model
22%
Other
3%

Informatica Customer Research

What are the important capabilities for your cloud-native data management platform?

Scalable data integration
84%
Automation tools with AI and ML for developers and runtime
34%
A serverless option or way to completely eliminate infrastructure management
22%
Ability to coexist with multiple cloud platforms like AWS, Azure, GCP, etc.
38%
Spark support for large, complex data integration mapping tasks
25%
Moving to a completely usage-based cloud model
22%
Other
3%

Informatica Customer Research

How much of your data integration pipelines are hand-coded?

0-25%: 30%
26-50%: 26%
51-75%: 26%
76-100%: 17%

Informatica Customer Research

What are the major data management challenges that your company is facing right now?

Hard to access data in multi-cloud environment
16%
Tough to scale and maintain hand coded solutions
31%
Costly infrastructure investments
25%
Data is not easily accessible by LOBs
34%
Slow processing of high volume of data
38%
Lack of governance and trust in data
78%
Other
3%

Informatica Customer Research

What are the key elements of your data management landscape?

Cataloging data
55%
Ingesting streaming, IoT, file, or database data
52%
Integrating data from various datastores
82%
Processing large volumes of data
58%
Building a data quality framework
58%
Governing data
64%
Other
3%



More Research on Informatica