--- title: A trusted customer data foundation across CRM and ERP | Engaging description: CRM, ERP and finance systems disagreeing? See how to connect customer data, set clear ownership rules and build a foundation you can trust. --- [Skip to content](https://www.engaging.io/solutions/customer-data-and-integration#main-content) [![logo-footer](https://www.engaging.io/hs-fs/hubfs/eio-2026/eio-web-2026/logo-footer.png?width=120&height=32&name=logo-footer.png) ![Engaging Logo](https://www.engaging.io/hs-fs/hubfs/raw_assets/public/Engaging-2026/images/site-logo-pack/engaging-logo-2026-green.png?width=120&name=engaging-logo-2026-green.png)](https://www.engaging.io) - SOLUTIONS↓ - [Fragmented customer systems Teams and data pulling in different directions](https://www.engaging.io/solutions/fragmented-customer-systems) - [Adoption and optimisation Get the value the investment promised](https://www.engaging.io/solutions/crm-adoption-and-optimisation) - [CRM replacement and consolidation Move off, or bring together, what you have](https://www.engaging.io/solutions/crm-replacement-and-consolidation) - [AI readiness Know what your data and processes can support](https://www.engaging.io/solutions/ai-readiness) - [Customer data and integration One reliable view across your systems](https://www.engaging.io/solutions/customer-data-and-integration) - SERVICES↓ - [AI services](https://www.engaging.io/services/ai-services) - [Custom integrations and configuration](https://www.engaging.io/services/custom-hubspot-integrations-and-system-sync-solutions) - [CRM migration and onboarding](https://www.engaging.io/services/crm-migration-to-hubspot-onboarding-implementation-services) - [Custom membership portals](https://www.engaging.io/services/custom-hubspot-membership-portals-secure-self-service-platforms) - [Data migrations](https://www.engaging.io/services/crm-hubspot-data-migrations) - [Data cleansing](https://www.engaging.io/services/data-cleansing) - [Data lakes and architecture](https://www.engaging.io/services/enterprise-data-lake-architecture-build) - [Digital transformation and change management](https://www.engaging.io/services/digital-transformation-services-change-management) - [Websites](https://www.engaging.io/services/hubspot-cms-websites) - INDUSTRIES↓ - [Sports and entertainment](https://www.engaging.io/sports-and-entertainment) - [Travel and experiences](https://www.engaging.io/experience-and-travel) - [Property and real estate](https://www.engaging.io/property-development-and-real-estate) - [Medical and health](https://www.engaging.io/medical-and-health) - [Education](https://www.engaging.io/education) - [Restaurants and clubs](https://www.engaging.io/restaurants-and-clubs) - [Finance](https://www.engaging.io/finance) - PRODUCTS↓ - [JinnSync](https://www.engaging.io/our-products/jinnsync) - [MailSync](https://www.engaging.io/our-products/mailsync) - [Real Estate Syncer](https://www.engaging.io/our-products/real-estate-syncer) - [OUR WORK](https://www.engaging.io/case-studies) - [INSIGHTS](https://www.engaging.io/blog) - [ABOUT](https://www.engaging.io/about-us) - [CONTACT](https://www.engaging.io/contact-us) Customer data and integration # "Our CRM, ERP and finance systems don’t talk to each other." ##### Each system holds part of the customer, and nothing reconciles. We connect the systems that need to stay, set clear rules for which record wins, and build an architecture foundation your reporting, automation and AI can rely on. [ASSESS YOUR SYSTEMS](https://www.engaging.io/solutions/systems-assessment) [SEE WHAT CHANGES](https://www.engaging.io/solutions/customer-data-and-integration#see-what-changes) Three signs your customer data needs a foundation **SYSTEMS DISAGREE ABOUT THE CUSTOMER** The CRM, the finance system and the operational tools each hold a version of the same customer, and none of them reconcile. **CHANGING ONE TOOL BREAKS ANOTHER** Adding or replacing a system means something else stops working, so changes get put off. **ANALYTICS AND AI KEEP WAITING** Forecasting, attribution, automation and AI plans stall because there is no agreed source of truth underneath them. ## What do disconnected customer data systems look like day to day? Reconciliation, workarounds and reports that need a second opinion. Every system works on its own, and the gaps between them are where time and trust get lost. Every new tool or workflow needs another custom connection, and each one adds to the list of things IT has to monitor and fix. - ### Analysts matching records instead of analysing them The working week goes on reconciling exports, and insight waits for the next cycle. - ### Automations that misfire Workflows read from the wrong record, and the people affected stop relying on them. - ### Connections nobody has mapped Point-to-point integrations run in several directions, and nobody can draw the full picture. - ### Finance and CRM out of step Accounts, orders and invoices do not line up with customer records, and month-end needs manual matching. - ### Reports built, then ignored Dashboards get built, and leadership falls back on spreadsheets because the numbers have let them down before. THE COST OF DISCONNECTED DATA Disconnected customer data costs the business in analyst time, automation reliability and delayed initiatives. Most of it sits inside salary and project budgets rather than a technology line, so the total cost can be largely invisible.  ## What is disconnected customer data costing you? WHERE IT SHOWS UP WHERE IT ACTUALLY IS TYPICALLY FOUND WHERE IT SHOWS UP ### Analyst and engineering time WHERE IT ACTUALLY IS Skilled people spend their time on reconciliation that produces no new insight. TYPICALLY FOUND Repeats every reporting cycle. WHERE IT SHOWS UP ### Automation reliability WHERE IT ACTUALLY IS Automations reading from the wrong record misfire, and people learn to stop trusting them. TYPICALLY FOUND Workarounds grow around every failure. WHERE IT SHOWS UP ### Reporting that goes unused WHERE IT ACTUALLY IS Reports get built and then ignored, because leadership has been burned before. TYPICALLY FOUND Decisions are delayed or drift outside the data. WHERE IT SHOWS UP ### Integration risk WHERE IT ACTUALLY IS Brittle connections break at the worst moment, and the stack becomes risky to change. TYPICALLY FOUND Usually found late, inside a report. WHERE IT SHOWS UP ### Stalled initiatives WHERE IT ACTUALLY IS Forecasting, attribution, automation and AI plans wait on data that cannot yet support them. TYPICALLY FOUND Deferred quarter after quarter. Together, these cost the business more than investing in a long-term foundation. The assessment sizes each line from your own data. [ASSESS YOUR SYSTEMS](https://www.engaging.io/solutions/systems-assessment) BUILT ONE FIX AT A TIME # How do customer data systems end up disconnected? Customer data systems end up disconnected because each was chosen for a specific job. Finance, operations and sales each record the customer their own way, and none were built to share one record. As the business restructures and grows, every new tool adds another connection nobody fully owns. - ##### Quick fixes became permanent Connections built to meet a deadline stayed in place, and new ones were layered on top. - ##### Teams chose their own systems Finance, sales, operations and service each picked what worked for their own job. - ##### Reporting was added last Analytics arrived after the systems, so it inherited every inconsistency underneath. - ##### Ownership stopped at the system boundary Each system has an owner. The data moving between them does not.   One trusted foundation ## What does a trusted customer data foundation look like? Sources of record are agreed, data flows are documented, and systems can change without everything else breaking. 1. 01 ### A golden record with clear precedence A governed customer record assembled from agreed sources, with a documented rule for which data wins when systems disagree. 2. 02 ### Integrations you can see Every connection is documented, so anyone can see what moves where and what depends on it. 3. 03 ### Reporting leadership relies on One set of definitions and one set of numbers, produced on a schedule. 4. 04 ### Analysts back on analysis Reconciliation effort drops, and time goes back into insight. 5. 05 ### A stack that can change New tools join and old ones retire, and monitoring flags anything that breaks. 6. 06 ### Ready for analytics and AI Forecasting, attribution, automation and AI start from trusted data already in place. #### BUILT AROUND THE OUTCOMES YOU NEED. We sequence the architecture around the reporting, automation and AI outcomes the business needs, so each phase delivers something usable. Our approach ## How do you build a trusted customer data foundation? The sequence of work is to first identify the ideal architecture, build the connections, then keep the data trustworthy as the business changes. Each phase delivers something usable, and most teams start with an assessment. ADVISE #### Agree the architecture before anyone writes code We map every system holding customer data, who owns it and where definitions diverge, then decide whether the trusted data layer belongs in the CRM, a data lake or warehouse, or both. You leave with authoritative sources, precedence rules, ownership and a sequenced roadmap. - Customer data assessment - Current-state integration mapping - Target data architecture - Sequenced roadmap TRANSFORM #### Connect it, one phase at a time We build pipelines that clean, transform and enrich data as it moves, and replace ad hoc point-to-point connections with an architecture that can change without everything else breaking. The governed customer view is assembled from agreed sources of record, and reporting layers help people use it. - Data lake and warehouse build - Custom integration build - Data migration and cleansing - Reporting and enablement OPERATE AND EVOLVE #### Keep the foundation trustworthy Validation rules, monitoring and governance keep the data reliable as it grows. We measure reconciliation effort, reporting confidence and integration reliability, then refine the architecture as the business changes. - Integration and data quality monitoring - Architecture governance - Documentation and capability building - Ongoing optimisation ## Which services connect customer data across systems? Data architecture and custom integrations carry most of the work, with migration and cleansing supporting them. Open any service to see when it fits. DATA LAKES AND ARCHITECTURE ADVISE, TRANSFORM [This service](https://www.engaging.io/services/enterprise-data-lake-architecture-build) provides a dedicated data layer where customer, operational and financial data can be governed and reported together. Authoritative sources, matching and precedence rules are defined before anything is built.   WHEN IT IS THE RIGHT CALL   You need operational, financial and customer data reported together, or you are building toward analytics and AI.   WHEN IT IS NOT   Reporting is mostly customer and revenue data that a well-configured CRM can hold.   TYPICAL SHAPE   Designed during the assessment, then built in phases tied to specific reporting or AI outcomes. CUSTOM INTEGRATIONS AND CONFIGURATION TRANSFORM Our [custom integrations and configuration service](https://www.engaging.io/services/custom-hubspot-integrations-and-system-sync-solutions) connects ERP, finance, e-commerce, booking, ticketing and bespoke in-house systems, including systems with no documented API. Every connection is documented and monitored.   WHEN IT IS THE RIGHT CALL   Each system is fit for purpose and the problem is the data moving between them.   WHEN IT IS NOT   Integration is being used to avoid a consolidation decision that has to happen anyway.   TYPICAL SHAPE   A phase of a larger programme, starting with an assessment of what already connects. DATA MIGRATIONS TRANSFORM Our [data migration service](https://www.engaging.io/services/crm-hubspot-data-migrations) moves data into the new architecture deliberately when a system is retired or replaced. Existing integrations are assessed first, and nothing is switched off until its replacement is verified.   WHEN IT IS THE RIGHT CALL   A system is being retired, or data is moving into a new lake or warehouse.   WHEN IT IS NOT   The source system still serves the business and integration keeps it useful.   TYPICAL SHAPE   Staged, with verification before anything is switched off. DATA CLEANSING TRANSFORM [This service](https://www.engaging.io/services/data-cleansing) creates a standard format for records and cleans data as it moves between systems, so formats and duplicates stop breaking matching and reporting.   WHEN IT IS THE RIGHT CALL   Conflicting formats and duplicate records are breaking matching and reporting.   WHEN IT IS NOT   It would be a one-off clean with no validation rules to keep it that way.   TYPICAL SHAPE   Built into the pipelines, then protected by validation rules and monitoring. WHERE TO START # Where should you start with disconnected customer data? ##### We recommend starting with an assessment - it maps every system holding customer data, puts a figure on the costs above using your own numbers, and gives you a target architecture and a roadmap you can fund. [ASSESS YOUR SYSTEMS](https://www.engaging.io/solutions/systems-assessment) What it answers for this problem - Where the trusted data layer should live: the CRM, a warehouse or both - Which system wins when records disagree - Which integrations to keep, rebuild or retire - Which phase to fund first OFTEN TRUE AT THE SAME TIME ## OTHER SITUATIONS WE WORK ON - ### “WE NEED TO REPLACE OR 
CONSOLIDATE OUR CRM” Where fragmentation has reached the point that integration is no longer the cheaper answer. READ MORE - ### “WE CAN'T GET OUR CUSTOMER 
DATA TO WORK TOGETHER” Where fragmentation has reached the point that integration is no longer the cheaper answer. READ MORE - ### “WE WANT TO USE AI BUT WE DON'T KNOW WHERE TO START” The usual next question once the estate is connected, and the usual blocker while it is not. READ MORE Why Engaging.io # Why do teams bring integration work to Engaging?   Because connecting customer data across CRM, ERP and operational systems is integration and architecture work, and building data foundations has been our focus since 2009. We work across Australia, the United States and New Zealand, bringing assessment, data architecture, integration, governance and capability building into one engagement. Our partnerships span Databricks, Snowflake, Google Cloud, AWS and Oracle Opera alongside Elite partner status with HubSpot, and a large share of our work is integration that other providers had already declined. We rebuilt [Evergreen Enterprises](https://www.engaging.io/case-studies/how-evergreen-unified-erp-shopify-and-revenue-reporting-in-hubspot)’ ERP, Shopify and Power BI integration so every team works from one customer record. For [Campbell Property Group](https://www.engaging.io/case-studies/how-custom-middleware-put-hubspot-at-the-centre-of-cpg-sales-stack), custom middleware connects Framework, ClickHome and SharePoint across five business units.  ## Common questions about customer data and integration Do we need a data lake, or can the CRM handle it? If your reporting is mostly about customers and revenue, the CRM can often carry it. If you need operational, financial and customer data reported together, or you are building toward analytics and AI, a dedicated layer is usually the right call. The assessment decides which. What is a golden record? A governed, authoritative view of a customer assembled from agreed sources. Building one means defining ownership, matching and precedence rules so the business knows which data should be trusted when systems disagree. Can you connect our ERP to our CRM? Yes. ERP, finance, e-commerce, booking, ticketing and bespoke in-house systems. We work with named platforms and with systems that have no documented API. Will this break what we have already built? We assess existing integrations before changing anything, then migrate them deliberately. Nothing gets switched off until its replacement has been verified. How is this different from consolidating our systems? If the problem you recognise is that nobody can see the whole customer across brands or regions, start with our fragmented customer systems page. This [page](https://www.engaging.io/solutions/fragmented-customer-systems) covers the architecture underneath that, and the two often run together. How do we build a single source of truth for reporting? Agree which system is the source of record for each type of data, define the shared definitions reporting will use, then feed reporting from those sources through governed pipelines. A single source of truth is an agreement about ownership as much as a technology choice. Why do our finance system and CRM disagree about customers? Usually because each was set up for a different job. Finance records accounts and invoices, the CRM records people and deals, and nothing defines how the two relate. Matching rules, an agreed source for each field and an integration that keeps both in step resolve it. [![logo-footer](https://www.engaging.io/hs-fs/hubfs/eio-2026/eio-web-2026/logo-footer.png?width=120&height=32&name=logo-footer.png)](https://www.engaging.io/) One partner. Every stage of your customer systems journey. Australia, New Zealand and North America, since 2009. Sydney • Melbourne • Auckland Christchurch • Denver • Oklahoma Find out what's holding your customer systems back. [GET IN TOUCH](https://www.engaging.io/contact-us) ## SOLUTIONS - [Fragmented Customer Systems](https://www.engaging.io/solutions/fragmented-customer-systems) - [CRM Replacement and Consolidation](https://www.engaging.io/solutions/crm-replacement-and-consolidation) - [Customer Data and Integration](https://www.engaging.io/solutions/customer-data-and-integration) - [Adoption and Optimisation](https://www.engaging.io/solutions/crm-adoption-and-optimisation) - [AI Readiness](https://www.engaging.io/solutions/ai-readiness) ## SERVICES - [AI Services](https://www.engaging.io/services/ai-services) - [Custom Integrations & Configuration](https://www.engaging.io/services/custom-hubspot-integrations-and-system-sync-solutions) - [CRM Migration & Onboarding](https://www.engaging.io/services/crm-migration-to-hubspot-onboarding-implementation-services) - [CRM Migration & Onboarding](https://www.engaging.io/services/crm-migration-to-hubspot-onboarding-implementation-services) - [Data Migrations](https://www.engaging.io/services/crm-hubspot-data-migrations) - [Data Cleansing](https://www.engaging.io/services/data-cleansing) - [Data Lakes & Architecture](https://www.engaging.io/services/enterprise-data-lake-architecture-build) - [Digital Transformation & Change Management](https://www.engaging.io/services/digital-transformation-services-change-management) - [Websites](https://www.engaging.io/services/hubspot-cms-websites) ## INDUSTRIES - [Sports and Entertainment](https://www.engaging.io/sports-and-entertainment) - [Travel and Experiences](https://www.engaging.io/experience-and-travel) - [Property and Real Estate](https://www.engaging.io/property-development-and-real-estate) - [Healthcare](https://www.engaging.io/medical-and-health) - [Education](https://www.engaging.io/education) - [Finance](https://www.engaging.io/finance) ## PRODUCTS - [JinnSync](https://www.engaging.io/our-products/jinnsync) - [MailSync](https://www.engaging.io/our-products/mailsync) - [Real Estate Syncer](https://www.engaging.io/our-products/real-estate-syncer) ## COMPANY - [About](https://www.engaging.io/about-us-1) - [Our Works](https://www.engaging.io/case-studies) - [Insights](https://www.engaging.io/blog) - [Contact Us](https://www.engaging.io/contact-us-1) - [Privacy Policy & Terms of Service](https://info.engaging.io/privacy-and-terms-) ```json { "@context" : "https://schema.org", "@id" : "https://www.engaging.io/solutions/customer-data-and-integration#webpage", "@type" : [ "WebPage", "FAQPage" ], "about" : [ { "@id" : "https://www.engaging.io/solutions/customer-data-and-integration#service" }, { "@type" : "Thing", "name" : "Data integration", "sameAs" : "https://en.wikipedia.org/wiki/Data_integration" }, { "@type" : "Thing", "name" : "Enterprise resource planning", "sameAs" : "https://en.wikipedia.org/wiki/Enterprise_resource_planning" }, { "@type" : "Thing", "name" : "Data lake", "sameAs" : "https://en.wikipedia.org/wiki/Data_lake" }, { "@type" : "Thing", "name" : "Single source of truth", "sameAs" : "https://en.wikipedia.org/wiki/Single_source_of_truth" }, { "@type" : "Thing", "name" : "Master data management", "sameAs" : "https://en.wikipedia.org/wiki/Master_data_management" } ], "breadcrumb" : { "@id" : "https://www.engaging.io/solutions/customer-data-and-integration#breadcrumb" }, "dateModified" : "2026-11-12", "datePublished" : "2026-11-12", "description" : "CRM, ERP and finance systems disagreeing? See how to connect customer data, set clear ownership rules and build a foundation you can trust.", "inLanguage" : "en-AU", "isPartOf" : { "@id" : "https://engaging.io/#website" }, "mainEntity" : [ { "@type" : "Question", "acceptedAnswer" : { "@type" : "Answer", "text" : "If your reporting is mostly about customers and revenue, the CRM can often carry it. If you need operational, financial and customer data reported together, or you are building toward analytics and AI, a dedicated layer is usually the right call. The assessment decides which." }, "name" : "Do we need a data lake, or can the CRM handle it?" }, { "@type" : "Question", "acceptedAnswer" : { "@type" : "Answer", "text" : "A governed, authoritative view of a customer assembled from agreed sources. Building one means defining ownership, matching and precedence rules so the business knows which data should be trusted when systems disagree." }, "name" : "What is a golden record?" }, { "@type" : "Question", "acceptedAnswer" : { "@type" : "Answer", "text" : "Yes. ERP, finance, e-commerce, booking, ticketing and bespoke in-house systems. We work with named platforms and with systems that have no documented API." }, "name" : "Can you connect our ERP to our CRM?" }, { "@type" : "Question", "acceptedAnswer" : { "@type" : "Answer", "text" : "We assess existing integrations before changing anything, then migrate them deliberately. Nothing gets switched off until its replacement has been verified." }, "name" : "Will this break what we have already built?" }, { "@type" : "Question", "acceptedAnswer" : { "@type" : "Answer", "text" : "If the problem you recognise is that nobody can see the whole customer across brands or regions, start with our fragmented customer systems page. This page covers the architecture underneath that, and the two often run together." }, "name" : "How is this different from consolidating our systems?" }, { "@type" : "Question", "acceptedAnswer" : { "@type" : "Answer", "text" : "Agree which system is the source of record for each type of data, define the shared definitions reporting will use, then feed reporting from those sources through governed pipelines. A single source of truth is an agreement about ownership as much as a technology choice." }, "name" : "How do we build a single source of truth for reporting?" }, { "@type" : "Question", "acceptedAnswer" : { "@type" : "Answer", "text" : "Usually because each was set up for a different job. Finance records accounts and invoices, the CRM records people and deals, and nothing defines how the two relate. Matching rules, an agreed source for each field and an integration that keeps both in step resolve it." }, "name" : "Why do our finance system and CRM disagree about customers?" } ], "mentions" : [ { "@type" : "Organization", "name" : "Databricks", "sameAs" : "https://en.wikipedia.org/wiki/Databricks" }, { "@type" : "Organization", "name" : "Snowflake", "sameAs" : "https://en.wikipedia.org/wiki/Snowflake_Inc." }, { "@type" : "SoftwareApplication", "name" : "Google Cloud", "sameAs" : "https://en.wikipedia.org/wiki/Google_Cloud_Platform" }, { "@type" : "SoftwareApplication", "name" : "AWS", "sameAs" : "https://en.wikipedia.org/wiki/Amazon_Web_Services" }, { "@type" : "SoftwareApplication", "name" : "Oracle Opera" }, { "@type" : "Organization", "name" : "HubSpot", "sameAs" : "https://en.wikipedia.org/wiki/HubSpot" }, { "@type" : "Organization", "name" : "Shopify", "sameAs" : "https://en.wikipedia.org/wiki/Shopify" }, { "@type" : "SoftwareApplication", "name" : "Power BI", "sameAs" : "https://en.wikipedia.org/wiki/Microsoft_Power_BI" }, { "@type" : "SoftwareApplication", "name" : "SharePoint", "sameAs" : "https://en.wikipedia.org/wiki/SharePoint" } ], "name" : "A trusted customer data foundation across CRM and ERP | Engaging", "publisher" : { "@id" : "https://engaging.io/#organization" }, "url" : "https://www.engaging.io/solutions/customer-data-and-integration" } ``` ```json { "@context" : "https://schema.org", "@id" : "https://www.engaging.io/solutions/customer-data-and-integration#breadcrumb", "@type" : "BreadcrumbList", "itemListElement" : [ { "@type" : "ListItem", "item" : "https://www.engaging.io/", "name" : "Home", "position" : 1 }, { "@type" : "ListItem", "item" : "https://www.engaging.io/solutions/customer-data-and-integration", "name" : "Customer data and integration", "position" : 2 } ] } ``` ```json { "@context" : "https://schema.org", "@id" : "https://www.engaging.io/solutions/customer-data-and-integration#service", "@type" : "Service", "areaServed" : [ { "@type" : "Country", "name" : "Australia" }, { "@type" : "Country", "name" : "New Zealand" }, { "@type" : "Country", "name" : "United States" } ], "audience" : { "@type" : "BusinessAudience", "audienceType" : "Organisations whose CRM, ERP and finance systems hold different versions of the customer" }, "description" : "Engaging.io connects the CRM, ERP, finance and operational systems that need to stay, sets clear rules for which record wins when they disagree, and builds an architecture foundation that reporting, automation and AI can rely on. Delivered in three phases (advise, transform, and operate and evolve), usually starting with an assessment.", "hasOfferCatalog" : { "@type" : "OfferCatalog", "itemListElement" : [ { "@type" : "Offer", "itemOffered" : { "@id" : "https://engaging.io/#customer-systems-assessment", "@type" : "Service", "name" : "Customer Systems Assessment", "provider" : { "@id" : "https://engaging.io/#organization" } } }, { "@type" : "Offer", "itemOffered" : { "@id" : "https://www.engaging.io/services/enterprise-data-lake-architecture-build#service", "@type" : "Service", "name" : "Data lakes and architecture", "url" : "https://www.engaging.io/services/enterprise-data-lake-architecture-build" } }, { "@type" : "Offer", "itemOffered" : { "@id" : "https://www.engaging.io/services/custom-hubspot-integrations-and-system-sync-solutions#service", "@type" : "Service", "name" : "Custom integrations and configuration", "url" : "https://www.engaging.io/services/custom-hubspot-integrations-and-system-sync-solutions" } }, { "@type" : "Offer", "itemOffered" : { "@id" : "https://www.engaging.io/services/crm-hubspot-data-migrations#service", "@type" : "Service", "name" : "Data migrations", "url" : "https://www.engaging.io/services/crm-hubspot-data-migrations" } }, { "@type" : "Offer", "itemOffered" : { "@id" : "https://www.engaging.io/services/data-cleansing#service", "@type" : "Service", "name" : "Data cleansing", "url" : "https://www.engaging.io/services/data-cleansing" } } ], "name" : "Services behind customer data and integration" }, "isRelatedTo" : [ { "@id" : "https://www.engaging.io/solutions/fragmented-customer-systems#service", "@type" : "Service", "name" : "Fragmented customer systems", "url" : "https://www.engaging.io/solutions/fragmented-customer-systems" } ], "name" : "Customer data and integration", "provider" : { "@id" : "https://engaging.io/#organization" }, "serviceType" : "Customer data integration and architecture", "url" : "https://www.engaging.io/solutions/customer-data-and-integration" } ``` ```json { "@context" : "https://schema.org", "@id" : "https://engaging.io/#organization", "@type" : "Organization", "alternateName" : "Engaging", "logo" : { "@type" : "ImageObject", "url" : "https://www.engaging.io/hubfs/raw_assets/public/Engaging-2026/images/site-logo-pack/engaging-logo-2026-pink.png" }, "name" : "Engaging.io", "sameAs" : [ "https://www.linkedin.com/company/engaging/", "https://ecosystem.hubspot.com/marketplace/solutions/engaging-io" ], "url" : "https://www.engaging.io/" } ``` ```json { "@context" : "https://schema.org", "@id" : "https://engaging.io/#website", "@type" : "WebSite", "name" : "Engaging.io", "publisher" : { "@id" : "https://engaging.io/#organization" }, "url" : "https://www.engaging.io/" } ```