Enterprise data integration that combines data from many systems into one trusted, current view for reporting and decisions.
About Enterprise Data Integration
Data lives in many places: CRM, ERP, spreadsheets, websites and files. Integration brings it together, cleans and aligns it, and makes it available for reporting and analysis.
The hard part is agreement on definitions: what counts as a customer, a sale or an active user. We solve that alongside the technical work, so reports stop contradicting each other.
What is included in Enterprise Data Integration
The typical building blocks. Scope is agreed with you in writing and tailored to your situation.
Source and definition review
Where data lives and what each field means.
Pipelines
Automated extraction, cleaning and loading.
Data model
A structure that supports reporting.
Quality checks
Rules that catch errors and gaps.
Reporting layer
Dashboards and exports for each team.
Governance
Access control and documentation.
Why teams choose Enterprise Data Integration
Reports that agree
Teams use the same definitions.
Less manual compiling
Data refreshes on a schedule.
Reliable decisions
Quality checks protect the numbers.
This is a good fit if
- Compiling reports takes days.
- Departments disagree on figures.
- You want a single customer view.
Does this sound familiar?
Leads, orders and invoices live in different tools
Approvals happen over chat and email
No single view of customers or inventory
Works well with
Other Enterprise Applications services that often come with Enterprise Data Integration.
How it fits together
A typical reference architecture, from your data to the people who use it.
- Layer 1Source systems
- Layer 2Integration layer
- Layer 3Business application
- Layer 4Reports and dashboards
Technology we typically work with
Six stages, the same every time
You always know which stage you are in and what comes next.
- Stage 1
Discover
Workshops and stakeholder interviews to define goals and constraints.
- Stage 2
Assess
Current-state review of systems, data, security and spend.
- Stage 3
Architect
Target design, integration map and phased plan with owners.
- Stage 4
Implement
Build in short releases with demos, tests and staging sign-off.
- Stage 5
Optimize
Measure against agreed KPIs and tune performance and cost.
- Stage 6
Manage
Monitoring, support and a monthly review with an account manager.
Security and governance
How the work is kept safe and accountable.
- Role-based access and audit events
- Data migration with reconciliation reports
- Vendor lock-in reviewed up front
Industries we have worked in
Ways to work together
Scope and price are confirmed in writing by a consultant after discovery.
Assessment
A fixed-scope review that ends in a written roadmap you can keep, with or without us.
- Current-state review
- Ranked priorities
- Written roadmap
Project
Defined scope, milestones and acceptance criteria for building or migrating something specific.
- Phased plan with owners
- Short releases and demos
- Handover and training
Managed
A monthly retainer once it is live: monitoring, support and a regular review.
- Monitoring and backups
- Named account manager
- Monthly review
What clients say about working with us
Our Enterprise Data Integration project had stalled before we called Bedre. Every step had an owner and a date, so we always knew what came next. We would happily work with them again.
The first call about Enterprise Data Integration set the tone. They asked about our goals before talking about tools. We would happily work with them again.
We were comparing options for Enterprise Data Integration. The work was split into small steps we could review. It felt like working with our own team.
Our Enterprise Data Integration project had stalled before we called Bedre. They asked about our goals before talking about tools. It removed a lot of stress for us.
Our team had tried to sort out Enterprise Data Integration alone. They asked about our goals before talking about tools. We would happily work with them again.
We came in unsure where to start with Enterprise Data Integration. They told us when something was not a good fit for us. It felt like working with our own team.
Not always. Smaller needs can use simpler approaches. We choose based on scale.
It depends on the design, from scheduled daily loads to near real-time where needed.
Access is limited, data is encrypted in transit and storage, and activity is logged.
It depends on scope. The Assess stage produces a timeline you can review before committing.
You do. Domains, cloud accounts and data stay in your name wherever possible.
Usually yes. The Architect stage lists connectors and any limits.
Ready to scope Enterprise Data Integration?
Tell us the outcome you want. We will bring the plan.