Precisely Holdings, LLC

https://www.precisely.com

Precisely is a global leader in data integrity, providing software and data solutions designed to ensure the accuracy, consistency, and contextual relevance of enterprise data. The company's mission is to empower organizations to make confident, data-driven decisions. Headquartered in Burlington, Massachusetts, Precisely serves a vast international client base.

The company's core offering is the Precisely Data Integrity Suite, a comprehensive platform that encompasses data integration, data quality, data governance, data observability, master data management, location intelligence, data enrichment, and customer communication management. Precisely also provides specialized solutions for optimizing IBM Z and IBM Power systems. Its products and services are utilized by over 12,000 organizations across more than 100 countries, including over 90% of the Fortune 100, spanning industries such as financial services, retail, telecommunications, government, and healthcare.

In recent leadership news, Walid Abu-Hadba was appointed Chief Executive Officer on April 2, 2026, succeeding Josh Rogers, who transitioned to Vice Chairman. Precisely continues to innovate, with its Precisely Automate solution recently achieving SAP Clean Core Certification for SAP S/4HANA Cloud Private Edition on April 28, 2026. The company is actively focusing on integrating AI-powered data quality and AI agents into its Data Integrity Suite, positioning itself at the forefront of the AI transformation by providing trusted and governed data essential for enterprise AI strategies.

Latest updates

Precisely Automate Gains SAP Certification, Addressing Cloud Upgrade Concerns

Event summary

  • Precisely Automate has achieved SAP Clean Core Certification (Conditional, Level C) for SAP S/4HANA Cloud Private Edition.
  • The certification validates that Precisely Automate enables high-volume SAP data processes without modifying the core SAP system.
  • A recent survey by Precisely and ASUG found 57% of organizations are using automation for S/4HANA transitions, with 62% citing process complexity as a challenge.
  • The certification applies to classic ABAP-based extensions and is compatible with RISE with SAP.

The big picture

The certification addresses a growing tension for SAP customers: the need to modernize and automate data processes while maintaining a stable, upgradeable core system. SAP's Clean Core initiative is designed to mitigate the risks associated with custom code, but many organizations rely on high-volume data processes that are difficult to refactor. Precisely's certification positions them to capitalize on this demand, particularly among enterprises deploying SAP S/4HANA Cloud Private Edition and leveraging RISE with SAP.

What we're watching

Upgrade Adoption
The pace at which S/4HANA Cloud Private Edition adoption accelerates will dictate the demand for Clean Core-compliant automation solutions like Precisely Automate, impacting Precisely's growth trajectory.
Competitive Landscape
How other data integration and automation vendors adapt their offerings to meet SAP's Clean Core requirements will determine Precisely's ability to maintain its competitive advantage in the S/4HANA ecosystem.
Conditional Certification
Whether SAP broadens or restricts the scope of its Conditional (Level C) Clean Core certifications will influence the long-term viability and market acceptance of Precisely Automate's approach.

Precisely Secures FedRAMP Nod for Geo Addressing API, Targeting Cloud-First Government

Event summary

  • Precisely has expanded its Data Integrity Suite with a FedRAMP-authorized Geo Addressing API.
  • The API combines address verification, geocoding, and autocomplete into a single offering.
  • The move is targeted at U.S. public-sector agencies and regulated organizations modernizing cloud-based workflows.
  • Precisely’s Clarence Hempfield, SVP of Product, Location Intelligence, highlighted the importance of trusted address data for government services.

The big picture

The U.S. government’s accelerated cloud modernization initiatives are creating demand for secure, integrated data solutions. Precisely’s move addresses a critical gap in the market, as agencies often rely on fragmented tools for address validation and geocoding, hindering efficiency and increasing risk. This FedRAMP authorization positions Precisely to capitalize on a significant opportunity within the public sector, which represents a substantial and growing market for data integrity solutions.

What we're watching

Adoption Rate
The speed at which government agencies adopt the Geo Addressing API will depend on existing legacy system integration challenges and budget constraints, potentially delaying widespread implementation.
Competitive Landscape
Precisely’s FedRAMP authorization creates a barrier to entry, but competitors may seek alternative certifications or focus on niche segments to challenge its dominance in the government address data space.
Expansion Scope
Precisely’s success in the U.S. government market could spur expansion of its FedRAMP-authorized offerings to other regulated sectors or international government clients.

Precisely CEO Change Signals Focus on Agentic AI Integration

Event summary

  • Walid Abu-Hadba has been appointed CEO of Precisely, effective immediately.
  • Outgoing CEO Josh Rogers will transition to the role of Vice Chairman, providing advisory support.
  • Abu-Hadba brings 30 years of experience scaling software businesses, most recently as CPO at Sage.
  • Precisely is backed by Clearlake Capital, TA Associates, Insight Partners, and Partners Group.

The big picture

Precisely's leadership change underscores the growing importance of data integrity in the age of generative AI. With over $185 billion in assets under management, Clearlake Capital's investment signals a belief that data governance will be a critical differentiator for AI-driven businesses. Abu-Hadba's experience in scaling software businesses through AI innovation positions Precisely to capitalize on this trend, but execution will be paramount.

What we're watching

Execution Risk
The speed at which Abu-Hadba can integrate his product and engineering expertise into Precisely's existing operations will be a key indicator of success.
AI Adoption
The extent to which Precisely’s data integrity solutions can demonstrably improve the effectiveness of enterprise AI initiatives will determine its competitive advantage.
Governance Dynamics
The ongoing influence of Clearlake Capital and other investors will shape the strategic direction of Precisely, particularly regarding its Agentic AI ambitions.

Precisely Embeds Matillion ETL to Target 'Agentic-Ready Data'

Event summary

  • Precisely has entered an OEM partnership with Matillion to integrate cloud-native ETL capabilities into its Data Integrity Suite.
  • The combined offering aims to simplify data integration and accelerate the creation of 'Agentic-Ready Data' – data optimized for AI and automation.
  • The partnership embeds Matillion's technology directly within Precisely's existing suite of data quality, governance, enrichment, and spatial analytics services.
  • Precisely serves over 12,000 organizations, including 95 of the Fortune 100.

The big picture

The partnership reflects a broader trend of data integrity vendors embedding ETL capabilities to support AI initiatives. Organizations are increasingly seeking unified data platforms to reduce complexity and accelerate the delivery of AI-ready data, but the market remains fragmented with numerous specialized tools. Precisely's move signals a strategic shift towards a more comprehensive data management approach, aiming to capture a larger share of the enterprise data spend.

What we're watching

Agentic Data
The success of this partnership hinges on Precisely's ability to define and market 'Agentic-Ready Data' as a compelling value proposition to enterprise clients, and whether this term gains industry traction.
Integration Risk
The complexity of integrating Matillion's platform into Precisely's existing suite presents execution risk; any friction in the user experience could hinder adoption.
Competitive Landscape
The move intensifies competition in the data integration space, and Precisely will need to demonstrate a clear differentiation from established players offering similar capabilities.

Precisely Partners with Entain to Define 'Agentic-Ready Data' for AI

Event summary

  • Precisely will exhibit and present at the Gartner Data & Analytics Summit in Orlando, FL, from March 9-11, 2026.
  • The presentation, featuring Precisely's Cam Ogden and Entain's Paul Bell, will focus on achieving 'Agentic-Ready Data' for AI.
  • Entain, a large sports betting and gaming group, is developing a three-stage framework for agentic AI readiness.
  • Precisely offers a Data Integrity Suite encompassing software, curated datasets, and data strategy consulting.

The big picture

The emergence of 'Agentic-Ready Data' as a distinct category highlights a growing recognition that AI initiatives require not just data volume, but also a rigorous focus on quality, governance, and contextual enrichment. Entain's partnership with Precisely underscores the increasing complexity and cost associated with deploying AI in regulated industries, where data integrity is paramount. This trend will likely accelerate as more organizations seek to leverage generative AI and autonomous systems.

What we're watching

Regulatory Scrutiny
Entain's focus on data integrity within a highly regulated sector suggests increasing scrutiny of AI applications in gaming, potentially impacting deployment timelines and requiring substantial compliance investments.
Framework Adoption
The success of Entain's three-stage 'Agentic AI Readiness' framework will likely influence adoption rates among other large, regulated enterprises seeking to leverage AI.
Suite Integration
Precisely's ability to effectively integrate its software, data, and consulting services will be crucial for demonstrating tangible value and securing further enterprise contracts.

Precisely Automates Data Integrity with AI Agents, Targets 'Agentic-Ready Data'

Event summary

  • Precisely released new AI agents for its Data Integrity Suite, focused on data quality, enrichment, and location intelligence.
  • The agents integrate with Precisely’s existing Gio™ AI Assistant to automate data workflows through conversational interaction.
  • The release aims to deliver 'Agentic-Ready Data' – high-quality, integrated, governed, and enriched data for autonomous AI systems.
  • The new features build upon previous innovations including the Data Catalog Agent and AI and Agentic Fabric.

The big picture

The release underscores the growing imperative for enterprises to ensure data quality and context as they increasingly rely on autonomous AI systems. Precisely’s move to automate data integrity processes directly addresses the bottleneck of manual data preparation, which has historically hindered AI deployment at scale. The focus on 'Agentic-Ready Data' signals a shift towards data foundations specifically designed to support increasingly sophisticated AI applications, a trend likely to intensify as AI models become more complex and autonomous.

What we're watching

Adoption Rate
The success of this release hinges on adoption by Precisely’s existing customer base, particularly those actively deploying autonomous AI systems; slow uptake could indicate a mismatch between the offering and current market needs.
Competitive Response
Other data integrity vendors will likely accelerate their own AI-driven automation efforts, potentially eroding Precisely’s market position if its solution isn't demonstrably superior in terms of usability or effectiveness.
Agentic Fabric
The integration and expansion of Precisely’s ‘Agentic Fabric’ will be key to unlocking the full potential of these AI agents, and its ability to deliver on the promise of 'Agentic-Ready Data' will be a critical differentiator.

Precisely Expands Data Ecosystem with TomTom Integration

Event summary

  • Precisely has added TomTom to its Data Link partner program, facilitating pre-linked data integration.
  • Data Link aims to simplify data integration and interoperability across multiple vendors.
  • The partnership deepens an existing collaboration between Precisely and TomTom.
  • TomTom's map data solutions will be integrated with Precisely's data and those of other Data Link partners.
  • Precisely serves over 12,000 organizations, including 95 of the Fortune 100.

The big picture

The increasing reliance on external data for AI, analytics, and operational decision-making is creating a significant bottleneck in data integration. Precisely's Data Link program, and the addition of TomTom, represents a move towards a more interconnected data landscape, addressing the growing need for simplified, pre-integrated data solutions. This strategy positions Precisely to capitalize on the expanding market for data-as-a-service and data integration platforms, a market estimated to reach hundreds of billions of dollars by the late 2020s.

What we're watching

Adoption Rate
The success of Data Link hinges on adoption by Precisely's existing customer base and attracting new clients seeking streamlined data integration, which will determine its long-term value proposition.
Competitive Response
Other data integration platform providers will likely observe this move and may accelerate their own ecosystem-building efforts, intensifying competition in the data management space.
Data Quality
Maintaining data quality and consistency across the expanded Data Link ecosystem will be crucial; any degradation in data integrity could undermine the program's value and erode customer trust.

AI Readiness Gap Threatens Enterprise ROI as Data Integrity Concerns Mount

Event summary

  • A new study from Precisely and Drexel University surveyed over 500 data and analytics leaders in the U.S. and EMEA.
  • 85% of respondents have adopted Agentic AI, but significant gaps exist between perceived readiness and operational reality.
  • Only 31% of organizations tie AI initiatives to key performance indicators (KPIs).
  • 71% of organizations with a data strategy and governance program report high trust in their data, compared to 50% without.
  • 51% of organizations cite skills as a top need for AI initiatives, with deployment at scale and responsible AI being key deficiencies.

The big picture

The study highlights a growing disconnect between AI enthusiasm and the foundational data infrastructure required for successful enterprise-wide implementation. The emergence of 'Agentic AI' is raising the stakes for data integrity, as autonomous systems require a level of data trust and governance that many organizations currently lack. This gap represents a significant risk to AI ROI and could lead to a consolidation of AI capabilities among those with the resources and expertise to address these challenges.

What we're watching

Governance Dynamics
The divergence between organizations with and without data governance programs suggests that robust governance will become a critical differentiator for AI success, potentially creating a two-tiered market.
Execution Risk
The lack of KPI alignment and skills gaps indicate that many organizations may struggle to translate AI ambition into tangible business results, potentially leading to project abandonment and wasted investment.
Talent Migration
The demand for professionals who bridge data, business strategy, and AI governance will likely intensify, driving up salaries and potentially creating a talent war as organizations compete for limited expertise.

AI Readiness Gap Threatens Enterprise ROI as Data Integrity Concerns Mount

Event summary

  • A Precisely-sponsored study reveals a disconnect between AI confidence and actual readiness among 500 senior data and analytics leaders in the U.S. and EMEA.
  • 85% of respondents have adopted Agentic AI, yet only 43% cite data readiness as the biggest obstacle to AI alignment with business objectives.
  • Organizations with a data strategy and governance program report 21 percentage points higher data trust (71% vs. 50%).
  • 51% of organizations cite skills as a top need for AI initiatives, with deficiencies in areas like responsible AI and AI model development.

The big picture

The study highlights a critical vulnerability in the rapid adoption of AI: a lack of foundational data integrity. While enthusiasm for Agentic AI is high, the reality is that many organizations are building on shaky data foundations, risking significant ROI shortfalls and potential operational failures. This underscores a broader trend of prioritizing speed over stability in the AI race, which could lead to costly corrections down the line.

What we're watching

Governance Dynamics
The divergence in AI success between organizations with and without robust data governance programs suggests that governance will be a key differentiator in the coming years, potentially creating a two-tiered AI landscape.
Execution Risk
The significant skills gap, particularly in areas like responsible AI and deployment at scale, poses a substantial risk to organizations attempting to move beyond AI pilot programs and achieve enterprise-wide adoption.
Agentic AI
The increasing reliance on Agentic AI will amplify the impact of data integrity issues, forcing organizations to prioritize data quality and governance to avoid operational disruptions and compliance failures.
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