AI TOOL PROFILE
Precisely: Data Integrity and Integration Software
- Data and Analytics
- Data Integration
- Enterprise companies
- Organizations with hybrid legacy and cloud infrastructure
- Companies in regulated industries
- Large-scale data operations teams
Pricing
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
At a glance
- Best for
- Enterprise companies, Organizations with hybrid legacy and cloud infrastructure, Companies in regulated industries, Large-scale data operations teams
- Key use cases
- Mainframe Modernization, SAP Process Automation, AI Data Readiness, Regulated Customer Messaging, Spatial Risk Assessment
- Integrations
- AWS, Azure, Google Cloud, Snowflake, Databricks
- Official website
- Visit precisely precisely official website
How AI is used
Precisely offers the Data Integrity Suite, a platform designed to help business data remain accurate, consistent, and contextual. The software combines data integration, governance, and quality tools to help organizations manage information across hybrid environments, including mainframes and cloud infrastructure.
This tool is intended for large-scale enterprise companies, including those in regulated sectors like financial services, healthcare, and government. It supports the movement of data from legacy systems into modern analytics platforms while applying governance and quality standards.
Beyond core data management, the platform includes tools for SAP process automation, location intelligence, and multichannel customer communications. This allows users to apply their data to specific business functions such as logistics or customer engagement.
Prospective buyers should note that this is an enterprise-grade solution for high-complexity environments. Organizations with simpler data needs should confirm if the comprehensive suite and associated consulting services align with their current scale.
Key Features
Data Integration
Supports change data capture (CDC) and replication between mainframes, relational databases, and cloud platforms.
Data Governance
Supports visibility into data ownership, policies, and lineage through an integrated data catalog.
Data Quality and Observability
Includes tools for profiling, deduplication, and continuous monitoring to help detect data drift and schema changes.
Location Intelligence
Uses geo-addressing and spatial analytics to help visualize patterns and relationships tied to physical locations.
Data Enrichment
Appends curated third-party attributes such as demographics and property risk to first-party business data.
EngageOne Customer Communications
Supports the lifecycle of personalized customer communications across video, email, and chat.
Use Cases
Mainframe Modernization
Replicating and streaming data from legacy systems like IBM Z or Power systems into cloud data lakes.
SAP Process Automation
Using Automate Studio to help manage SAP master data updates and reduce manual data entry.
AI Data Readiness
Cleaning and governing enterprise datasets to help ensure AI models are trained on accurate information.
Regulated Customer Messaging
Creating and archiving customer communications for industries with regulatory requirements.
Spatial Risk Assessment
Analyzing location-based data to help identify vulnerable areas or plan resource allocation.
Integrations
- AWS
- Azure
- Google Cloud
- Snowflake
- Databricks
- SAP
- ServiceNow
- Splunk
- Confluent
FAQ
What does the Precisely Data Integrity Suite do?
- It provides services for data integration, governance, observability, quality, enrichment, and location intelligence to help ensure business data is accurate and consistent.
Who is Precisely designed for?
- The software is designed for enterprise companies, particularly those in regulated industries like finance, healthcare, and government that manage complex or legacy data environments.
Does Precisely support legacy systems?
- Yes, it offers tools like Precisely Connect and Ironstream to help move and manage data from IBM Z and IBM Power systems.
Source category: Data & Analytics
Source subcategory: Data Integration
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