Data Integration Services in London Built Around Your Stack
Customer, finance and operational data usually sits in separate CRMs, ERPs, cloud apps and ageing legacy systems with no dependable link between them. Our data integration services in London join those sources into one trusted foundation, built by consultants with hands-on expertise across Microsoft Fabric, Databricks, and Snowflake. London businesses get a data integration company with the technical depth and delivery record that complex, regulated integrations require.
Fewer Data Errors
Lower Maintenance Overhead
Faster Data Availability
How We Connect Cloud, Real-Time and API Data
Our offerings cover cloud, real-time and API connectivity, each shaped around what your business needs to keep information moving between systems. For large volumes and many source systems, we combine live streaming with change data capture, so London organisations see current figures instead of waiting on overnight batches.
Cloud Data Integration
Join on-premise systems and cloud applications without bespoke middleware or added moving parts.
Highlights:
- Pipelines scale on their own as volumes rise
- Hybrid estates keep security and compliance intact
- Cloud-native connectors lower infrastructure running costs
Real-time Data Integration
See live figures from operations, finance and customer touchpoints the moment events occur.
Highlights:
- Remove batch waits from finance and operations reporting
- Respond to customer or market shifts as they happen
- Give every department data that reflects this hour, not last night
API Integration
Create dependable system connections through custom APIs and established integration protocols.
Highlights:
- Link any application, whatever its vendor or technology stack
- Automate record exchange between CRM, ERP and finance systems
- Shape each data flow around your own business rules
Ways to Work With Kanerika
Kanerika works as your data integration company on project builds, advisory engagements and fully managed pipelines. The right model depends on what your in-house data team should own and what is sensible to hand over to us. Support after go-live covers pipeline monitoring, incident response and optimisation under a structured support agreement.
Defined Project Builds
A scoped build, set timeline and full handover for organisations ready to own it.
Ongoing Pipeline Operations
We operate your pipelines day to day, giving you managed integration without extra in-house headcount.
Architecture Advisory
Practical data integration consulting for London organisations that want a clear plan before any build begins.
Ready for Large Estates
Integration for London organisations, with compliance, security and scale designed in
Data Integration Services London Businesses Rely On
Read case studies from organisations that used Kanerika’s custom data integration solutions to shorten processing time, remove data silos and reach faster, more dependable insight.
Data Integration
27% Faster Operations with FLIP Data Integration
Impact:
- 16% Increase in customer satisfaction
- 24% Reduction in data Integration time
- 27% Improvement in operational Efficiency
Data Integration
47% Faster Breach Detection with Incorta Analytics
Impact:
- 32% Improvement in compliance adherence
- 44% Reduction in decision-making time
- 47% Decrease in breach identification time
Data Integration
42% Productivity Gain with API Integration and Power BI
Impact:
- 30% Faster product releases
- 35% Improvement in project success rate
- 42% Enhanced productivity
How the IMPACT Framework Steers Integration Projects
Every project runs on the same structured model. The IMPACT framework steers Kanerika's data integration consultancy work from discovery to go-live, so each phase answers to a business outcome and not only a technical milestone.
The Tools and Platforms We Use for Integration
We choose proven data integration tools that fit your estate and help you resolve business problems and streamline day-to-day operations.
Data Integration Consulting Services for London’s Main Sectors
Whether you work in financial services, insurance or healthcare in London, our data integration consulting follows the way your sector handles data, rather than a one-size delivery model.
Why London Businesses Choose Kanerika for Integration?
Our specialists bring proven integration experience across banking, healthcare and logistics, adapted to London’s regulated markets.
We design bespoke data integration solutions, from small connectors to full platforms, shaped around your systems and workflows.
Our certified consultants bring platform-native skills across Microsoft, Databricks and Snowflake to every integration engagement we take on.
Empowering Alliances
Our Strategic Partnerships
The pivotal partnerships with technology leaders that amplify our capabilities, ensuring you benefit from the most advanced and reliable solutions.
Frequently Asked Questions (FAQs)
How do we choose a partner for data integration services in London?
Start with platform fit. Ask for certified expertise on the tools you already run, reference projects of a similar scale, and a written delivery method rather than a capability list. Check that the provider understands UK GDPR and your sector’s rules, and that working hours overlap with yours. Kanerika’s data integration services pair that method with remote delivery and onsite workshops when needed. That lets London businesses compare providers on evidence.
What collaboration model do you use with London organisations?
London sits on UK time, so our delivery hours overlap with UK business hours. Work is delivered remotely, with onsite workshops when a discovery session or design review benefits from being in the room. You get a named lead, a shared backlog, regular demonstrations and clear escalation paths. Progress is reported every week. Your in-house staff stay involved in decisions, while our consultants handle design, build, testing and go-live.
Why is enterprise integration more than a scheduled ETL job?
A scheduled ETL job copies data on a timer. Enterprise integration adds streaming, change data capture, API connectivity, master data management, lineage and governance across many sources. It also brings service levels, monitoring and an architecture plan that survives the next system change. That suits high volumes and regulated reporting, where a failed overnight load cannot simply be rerun in the morning.
Is data integration the same as a platform migration?
No. A migration is a single move from one system to another, usually when you consolidate or upgrade platforms. Integration never really finishes. It keeps live systems connected, in real time or on a schedule, so applications, warehouses and reporting tools exchange data continuously. Once a migration cutover is done, the project closes. An integration layer stays in service as a permanent part of your data infrastructure and reporting.
How long does a data integration project take for a London business?
It depends on how many systems are involved, how messy the data is, and which integration patterns you need. A focused project that connects three to five systems usually takes eight to sixteen weeks. Larger programmes with legacy platforms, streaming and governance can run six months or more. Phased delivery is common, with the most valuable integrations going live first so benefits arrive before the whole programme finishes and gives you early feedback.
Which tools and platforms do your consultants work with?
We work with Microsoft Fabric, Informatica, Talend, Databricks, Apache Kafka, AWS Glue, Azure Data Factory, Fivetran, Matillion and MuleSoft. The choice follows your existing estate, data volumes, latency needs and budget. We stay platform-agnostic, so the recommendation suits your architecture instead of a preferred vendor. Many London organisations keep their current investment and simply add what is missing. We also advise on licensing, so you avoid paying for features you never use.
Can you integrate our legacy systems without replacing them?
Yes. Older platforms often lack modern APIs or standard data interfaces, so we use database-level connectors, file-based batch transfers, API wrappers and middleware translation layers. The approach depends on the system’s age and how critical its data is. We have connected legacy ERP, mainframe and on-premise databases to cloud environments without full replacement or long production outages. Cutovers are scheduled around your reporting calendar, with rollback steps prepared.
What do businesses gain from real-time data integration?
It closes the gap between an event happening and your staff seeing it. Finance can watch payments post, operations can follow stock on live dashboards, and service staff can respond to customer behaviour as it unfolds. For firms still running batch pipelines, the usual gains are shorter decision times, more accurate reporting and less analyst time spent reconciling spreadsheets across finance, sales and operations each week. It also surfaces problems much earlier.
How do you keep data accurate while sources are being joined?
Quality checks sit inside the pipeline, not in a separate clean-up phase. We validate schemas on ingestion, detect and merge duplicates, standardise dates and currencies, apply business rules to nulls, and score quality automatically with alerts when thresholds are breached. Lineage tracking is included, so a data problem can be traced to its source system and fixed there instead of downstream, which stops the same fault returning every reporting cycle. Users then trust the numbers.
Should we build in-house or bring in a consultancy?
Often it is both. Your in-house data team knows the business rules, while a specialist partner adds delivery capacity, tested patterns and platform skills. Recruiting alone can take months, so a partner often gets the first pipelines live sooner. If you are unsure which parts to own, data strategy consulting in London can set the target architecture first. We agree ownership at the start, work alongside your engineers, and transfer knowledge throughout.
What should we budget for a data integration programme?
Cost depends on the number of systems, data volumes, transformation complexity, and whether processing is real time or batch. Focused projects often start in the low five figures, and larger builds reach into six figures. Programmes with several sources, governance frameworks and managed support cost more. Phased scoping lets you fund the highest-impact connections first and extend the integration layer as business needs grow. Estimates are firmed up after discovery.
How do you connect cloud and on-premise systems securely?
Hybrid integration links on-premise databases to cloud platforms through secure gateways, API management layers and event-driven pipelines. The design absorbs latency, protocol and security differences between older systems and cloud-native applications, and supports real-time sync as well as scheduled batches. Typical platforms include Microsoft Fabric, Azure Data Factory and Informatica Intelligent Cloud Services. Traffic is encrypted in transit and access follows least privilege, so a hybrid estate stays properly secure.
How does data lineage support UK GDPR and audit requests?
Lineage records where each data item came from, how it was transformed and where it ended up. Under UK GDPR and the Data Protection Act 2018, that helps you locate personal data, answer access requests promptly and show the ICO how it was processed. FCA and PRA supervised firms and NHS suppliers also use it as audit evidence. We capture lineage automatically across every pipeline, so nobody depends on manual documents or institutional memory.
How do you measure the return from an integration programme?
We set baselines before the build, then track against them. Direct returns include fewer manual reconciliation hours, lower error rates and faster reporting cycles. Indirect returns come from better decisions on unified data, smoother customer journeys across connected touchpoints and quicker AI and analytics work. Most enterprises see measurable time savings within the first quarter after go-live. Because baselines exist from day one, leadership can see progress clearly in plain figures instead of anecdotes, and decide next steps.
Does integrated data make AI and analytics projects easier?
Yes. Analytics platforms and AI models need clean, connected and consistently structured inputs. Fragmented sources give incomplete training sets and unreliable predictions. An integration layer provides the unified base that reporting tools and machine learning models need to work accurately. Once it exists, data analytics services in London can build dashboards and forecasts on trusted data. Without that base, projects stall at data preparation and never reach usable insight. Sequencing integration first also saves rework.
What does managed integration involve after launch?
Managed integration means we operate your pipelines after go-live, covering monitoring, incident response and optimisation under a support agreement. It suits London organisations that need dependable, watched pipelines but lack spare engineering capacity, or prefer not to hire a full team for sustained operation. Because the builders stay on, there is no handover to an unfamiliar support group, which shortens resolution times when something fails. Support hours align with UK business hours.
How do you unify customer records from CRM and marketing tools?
Customer data integration pulls records from CRM, marketing, e-commerce and support systems into a single profile. Each system holds a different view, so we deduplicate records, resolve identity conflicts and keep them synchronised. Matching rules are set with business owners, so merges follow your definition of a customer. Under UK GDPR, consent flags and retention rules travel with the data. The result is one consistent customer view that sales, service and marketing can act on.
What does handover look like at the end of a project?
Handover is planned from the start. We document the architecture, source-to-target mappings, transformation logic, quality rules and monitoring setup, then run walkthroughs and supervised operation with your engineers. Where you need extra capacity afterwards, our data engineering services in London can extend the platform. Training sessions cover how to monitor pipelines, handle failures and add new sources. Runbooks explain what each alert means in plain language. The aim is that your in-house staff own the integration confidently.
How secure are the pipelines you build, and what backs that up?
Kanerika holds ISO 27001, SOC 2 Type II and CMMI Level 3 certifications, so regulated London enterprises can bring us into production environments with the compliance baseline in place. Engagements follow a structured method from discovery to go-live, with documented governance, quality standards and escalation paths. The team also holds certifications across Microsoft Fabric, Databricks and Informatica, which keeps platform work aligned with vendor guidance. Access controls are agreed during discovery, well before any production data is touched.
Who owns the code and pipelines you build for us?
Terms are set in the statement of work before any build starts, including who owns the delivered pipelines, mappings and documentation and how any pre-existing accelerators are licensed. Your data remains yours at every stage. Agreeing this in writing early avoids disputes later and keeps your options open if you want to run support in-house, with another provider or with us under a managed agreement. Your lawyers can review these terms before signing.
