Informatica Data Quality & Observability

Data Profiling

Includes statistical analysis of data values to evaluate the frequency, distribution and completeness of data.

Data Matching

Includes fuzzy matching, data comparison, and data merging.

Data Cleansing

Includes data auditing, workflow specification, post-processing, and controlling, such as address standardization and the correction of known invalid values.

Data Quality Workflow Management

Manages and automates data quality tasks, approvals, issue resolution, and stewardship activities across the organization.

Data Source Connectivity

Includes abiity to connect to a wide selection of data source types and systems.

Reporting Components

Lightweight controls and components that are easily embeddable and reusable. Integration with common apps such as Word, Excel, etc.

Data Enrichment

Enhances existing data by adding or updating information from internal or external sources to improve its value and completeness.

Data Monitoring

Continuously monitors data quality processes while providing centralized administration, scheduling, and operational management capabilities.

Dashboard

Includes alerts and notifications, KPIs, visual analytics, and interactive features.

Record Deduplication

Identity resolution is the process of linking various records and is the main engine for record deduplication, which can enable some aspects of data cleansing.

Vendor Support

The importance of vendor support will vary for each organization depending on internal capabilities, but there will always be issues that only the vendor can resolve.

Ease of Implementation

Successfully implementing new software is necessary to realize its full value and promote end user adoption. This data indicates whether or not the product is easy to implement.

Quality of Features

Feature quality is just as important as quantity. Use this data to determine if this product will do what you're purchasing it to do, easily, intuitively, reliably, and effectively.

Ease of IT Administration

This data indicates whether IT personnel will be able to resolve issues and perform configurations efficiently and effectively.

Ease of Data Integration

Use this data to determine whether the product will cause headaches or make data integration easy.

Breadth of Features

Users prefer feature rich software that enables them to perform diverse series of tasks. This data expresses user satisfaction with the product's breadth of features.

Business Value Created

Software needs to create value for employees, customers, partners, and, ultimately, shareholders. This data expresses user satisfaction - or lack thereof - with the product's business value.

Availability and Quality of Training

Effective and readily available training enables users to get the most out of the software you've chosen. Use this section to make sure your vendor's training programs and materials measure up.

Product Strategy and Rate of Improvement

Vendors who don't stay on top of emerging needs and trends won't enable you to meet your business goals. Use this data to separate innovators from imposters.

Usability and Intuitiveness

End user learning curves cost the organization money. Pay attention to your end users' technical ability to determine how important UX is in your purchase.

Ease of Customization

Don't get bogged down in a difficult customization; use this data to make sure you can easily achieve the functionality you need for your particular situation.