Point-to-point sprawl
Every new connection adds one more thing that can break.
©IWConnect. All Rights Reserved.
Data & Integration by IWConnect
Connect every system. Trust every number.
We connect your legacy, cloud, SaaS, and data systems through one governed integration layer, then turn scattered data into trusted analytics, BI, and an AI-ready foundation the whole business can rely on.
- Under 30 min loan approvals at a European bank
- 5x faster M&A data integration
- 99.5%+ integration uptime
Enterprise Data AI — Semantic Layer
Disconnected systems and scattered data are a tax you pay forever.
Every system that does not talk to the next, and every report no one fully trusts, adds cost, delay, and risk. Three things hold most enterprises back.
No single source of truth
The same metric comes back with three different answers.
Decisions wait on the data
Teams wait while someone reconciles the numbers by hand.
The compounding cost
The longer the foundation stays fragmented, the steeper the cost, and the slower every decision and every launch becomes.
What it is
See how we connect systems →
Two halves of one foundation.
Two capabilities, one base. Integration connects your systems so they share clean, current data. Data turns that into analytics, BI, and an AI-ready foundation you can trust.
It runs on the platforms you already use, or the ones we help you choose, with governance and quality built in. Best fit for mid-to-large enterprises running many systems that do not talk to each other, or sitting on data they cannot fully trust.
Done right, it pays for itself: fewer brittle connections to maintain, reports your teams stop second-guessing, and new systems that plug in without a six-month project.
See how we connect systems →
Connect the systems. Trust the data.
Two capabilities that build on each other, plus the foundation your AI work will need next.
Integration Solutions
One integration platform that acts as a facade, so legacy and cloud systems connect through it instead of to each other. Add a system without breaking the rest.
- iPaaS with SnapLogic, MuleSoft, Boomi
- APIs, ESB, and B2B
- ETL and event streaming
Data Analytics & BI
From raw, scattered data to a governed foundation and dashboards your teams actually trust, plus the analytics that tell you what happens next.
- Data platform and lakehouse (Snowflake, Databricks)
- Governance and data quality
- Dashboards and predictive analytics
Building for AI?
A connected, governed foundation is exactly what AI needs. When you are ready, Data Readiness for AI and AI Enterprise Integration build on top of it, run through our AI Center of Excellence.
Proof you can read in full.
Published case studies from production work. Different industries, the same foundation: connect the systems, trust the data, move faster.
Banking
A European bank connected seven back-end systems through one SnapLogic layer, so loan decisions happen while the customer is still in the branch.
Under 30 minloan approvals, 60 to 80% faster, 99.5%+ uptimeRead the case study →
Manufacturing
A global manufacturer unified a fragmented, post-M&A data estate into a governed, AI-ready Snowflake foundation.
5x fasterM&A data integration on a governed foundationRead the case study →
Retail
A global retailer turned integration error storms into a self-learning classification pipeline on SnapLogic that routes every alert to the right team.
90%of recurring errors auto-classified, 90% accuracy in 30 daysRead the case study →More proof
Read the full library of IWConnect integration and data case studies.
Browse all case studies →Built for enterprises moving from fragmented systems to AI-ready operations.
This pillar is for teams that need both sides of the foundation: reliable system connectivity and trusted data for reporting, automation, and AI.
Who this is for
- Enterprises with legacy, cloud, and SaaS systems that do not communicate reliably.
- IT leaders managing brittle point-to-point integrations and rising maintenance cost.
- Data teams dealing with conflicting reports, manual reconciliation, and weak governance.
- Operations teams waiting on accurate data before they can act.
- Companies preparing business systems and data for AI agents, analytics, and automation.
Common modernization paths
- Point-to-point connections become a governed integration platform.
- Conflicting reports become a single source of truth.
- Manual data checks become automated data quality controls.
- Siloed systems become connected enterprise workflows.
- Untrusted data becomes AI-ready business context.
Platforms and partners
Built on the platforms you already trust.
Eight years as a SnapLogic partner, plus deep, certified expertise across the major integration and data platforms. The recommendation fits your stack, not our preference.
SnapLogic8-year partnerMuleSoftBoomiInformaticaCeligoTIBCOSnowflakeDatabricksAzure SynapsePower BITableauApache Kafka
Get started
Bring us your messiest integration, or your least trusted report.
Show us the systems that will not talk, or the numbers nobody believes. We will map the foundation you need and where it pays off first. No pitch decks, just practical advice.
The questions every architect asks first.
Which integration platform should we use?
It depends on your stack, scale, and budget. We are an 8-year SnapLogic partner and also deliver on MuleSoft, Boomi, and Informatica, so the recommendation fits you, not our preference.
Do we have to replace our current integrations?
No. We use a facade pattern: one platform sits in front of your existing systems so they connect through it, not to each other. You modernize gradually, with no rip-and-replace.
How does this get us ready for AI?
AI needs connected systems and trusted data. The integration layer gives agents governed access to your systems, and the data foundation gives models clean, consistent inputs. It is the groundwork our AI Center of Excellence builds on.
Can you connect legacy and cloud together?
Yes. Hybrid is the norm. We connect on-prem ERP, mainframes, and SaaS through one layer, and keep data inside your network where it needs to stay.
Who keeps the data accurate and governed?
Governance and quality are built into the foundation: validation, master data, and a single source of truth, so the numbers in your dashboards match the numbers in your systems.
How fast can you deliver?
We work in phases and ship usable integrations early. The European bank above went live and hit its production targets within six months, with the first connections live well before that.
What is enterprise data integration?
Enterprise data integration connects data from ERP, CRM, SaaS, databases, APIs, and legacy systems into a governed architecture so teams can access accurate, consistent information across the business.
What is the difference between data integration and enterprise integration?
Enterprise integration connects systems, processes, and workflows. Data integration moves, transforms, governs, and unifies data for analytics, reporting, automation, and AI.
Can IWConnect modernize point-to-point integrations into iPaaS?
Yes. IWConnect helps enterprises move from point-to-point integrations to scalable iPaaS architectures using platforms such as SnapLogic, MuleSoft, Boomi, Informatica, and related technologies.
Does IWConnect work with Snowflake, Databricks, and modern BI tools?
Yes. IWConnect supports modern data platforms and analytics tools including Snowflake, Databricks, Azure Synapse, Power BI, Tableau, and governed BI foundations.
How does data integration support AI agents?
AI agents need governed access to accurate business data and enterprise systems. Data integration and enterprise integration give agents the trusted inputs, permissions, and controlled system access they need to operate safely.
- web@iwconnect.com
- sales@iwconnect.com
- marketing@iwconnect.com
- hr@iwconnect.com