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Precisely Data Experience

Features
Ease of use
Ease of management
Quality of support
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Market presence
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User industry
  1. Banking and insurance
  2. Healthcare and life sciences
  3. Energy and utilities

What is Precisely Data Experience

Precisely Data Experience is a data quality and data enrichment offering that helps organizations standardize, validate, match, and enrich customer and location data across operational and analytics systems. It is used by data management teams and application owners to improve the accuracy and consistency of records used for customer communications, compliance, and reporting. The product emphasizes address validation/geocoding, identity resolution, and enrichment using Precisely datasets, typically deployed as part of broader data governance and master/reference data initiatives.

pros

Strong address and location quality

The product is well suited for postal address validation, standardization, and geocoding workflows. It supports improving deliverability and reducing duplicates by normalizing location fields and applying consistent formatting rules. This is particularly useful for organizations with high volumes of customer or site addresses across multiple systems.

Integrated enrichment datasets

Precisely Data Experience can pair cleansing and matching with enrichment from Precisely’s data assets (for example, location and business-related attributes). This supports use cases where teams need both data quality controls and additional attributes for segmentation, risk, or operational routing. It can reduce the need to source enrichment separately from the quality process.

Enterprise data management fit

The product aligns with enterprise data management programs that require repeatable rules for standardization, matching, and survivorship. It is commonly positioned for cross-system consistency rather than one-off spreadsheet cleanup. This makes it relevant for teams operating data hubs, MDM, or governed data pipelines.

cons

Implementation can be complex

Deployments typically require data profiling, rule design, and integration work to connect to source and target systems. Organizations without dedicated data engineering or data governance resources may face longer time-to-value. Ongoing tuning is often needed as source systems and data patterns change.

Best value with Precisely ecosystem

Some capabilities are most compelling when used alongside Precisely datasets and related Precisely data management tooling. Buyers who want a lightweight, standalone CRM-focused cleanup tool may find the broader platform orientation heavier than needed. Licensing and packaging can be less straightforward when only a narrow subset of functions is required.

Less oriented to revenue ops

Compared with tools designed primarily for sales/marketing operations, the product is more centered on enterprise data quality and location intelligence use cases. Teams looking for out-of-the-box CRM automation patterns (e.g., lead-to-account routing or enrichment tied directly to go-to-market workflows) may need additional configuration or complementary tooling. Fit depends on whether the primary driver is governed data quality versus front-office operations.

Seller details

Precisely Group LLC
Burlington, MA, USA
1968
Private
https://www.precisely.com/
https://x.com/PreciselyData
https://www.linkedin.com/company/preciselydata/

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