Data and dashboards for businesses running on scattered systems
We connect your CRM, inventory, email and operations data into one warehouse, build the dashboards leadership uses every week, and add forecasts on top.
Does this sound like your team?
“Every location or team reports numbers differently”
“Data lives in a DMS, CRM, spreadsheets and inboxes”
“Reports take days to put together and are out of date on arrival”
“You want AI, but your data is not ready for it”
What you get with Data Engineering & Integration
- Source inventory and KPI definitions
- Data pipelines and integrations
- Cloud data warehouse
- BI dashboards and scheduled reports
- Data quality checks and alerts
- Demand and sales forecasting
- Email and document data extraction
- Documentation and handover
KPI Definition Workbook
Agree on one version of every number before you build dashboards.
Phases, timelines and what you receive
Discover
Source inventory, KPI definitions, data model
Build
Pipelines, warehouse and first dashboards
Model
Forecasts, ML models and alerts
Operate
Monitoring, new sources and reports
What we measure before Go / Adjust / Stop
Every phase ends with a decision based on numbers agreed at the start.
Accuracy
numbers match your source systems
Freshness
data arrives as often as decisions need it
Adoption
the people who need the dashboard use it
Forecast error
measured against actuals each period
Get a plan for Data Engineering & Integration
A few fields, no sales script. We reply within 1 business day with next steps.
Where we've done this before
Real-time dealer KPIs
A dealership analytics platform turning DMS, inventory and CRM data into real-time KPIs
+12% margin, +7% revenue
An AI operating system that forecasts demand and recommends restocks, transfers and markdowns for multi-store retail
3,000+ dealers served
Warranty benchmark analytics that show dealers where warranty money is left on the table
Senior people, named roles
Data Engineer
Pipelines, warehouse and data quality.
Analytics Engineer
KPI models and dashboards.
ML Engineer (on demand)
Forecasting and predictive models.
What we build with
Industries we deliver this for
Ways to work with us
Every project gets a written quote after a short scoping call.
Fixed-scope project
Clear scope and timeline. Scope agreed before code starts; change requests quoted separately.
Dedicated team / AI Pod
Evolving roadmap or AI systems in production. Monthly, scale up or down with notice.
Support & maintenance retainer
Live products that need fixes, updates, monitoring and small features each month.
Who this is not for, and what we won't do
- We don't build dashboards before KPI definitions are agreed
- We don't hide data quality problems behind charts
What clients say
“Working with the Bit & Bytes team on our CRM data automation project was an excellent experience. The team understood our requirements clearly, transformed complex email data into meaningful insights, and delivered a reliable backend solution that significantly improved our workflow.”
“Bit&Bytes Team quickly understood our goals on SEO assistant project and implemented complex machine learning features with precision. there communication were clear, delivery was timely, and the overall collaboration was smooth and efficient. We're very satisfied with the results and would definitely work with them again.”
“We collaborated with Bit&Bytes team on the development of YourList, our real estate and investment networking platform. From the very beginning, they demonstrated a deep understanding of both the technical stack and the business vision behind the product. They helped us shape the MVP, ensuring smooth integration between backend and frontend. Throughout the process, they were proactive, detail-oriented, and always committed to delivering on time. Working with them seamless and highly productive, they truly went above and beyond to make the project a success.”
Frequently asked questions
Straight answers on cost, timelines, ownership and data.
Most CRMs, dealership management systems, e-commerce platforms, ERPs and anything with an API or export. Email data can be parsed too.
We work with your existing tool (Power BI, Looker, Metabase) or recommend one based on budget.
Usually 4-6 weeks for the first live dashboard on real data.
Ready to talk about Data Engineering & Integration?
Book a short call with a senior engineer. No pitch deck, just a clear next step.
- We reply within 1 business day.
- NDA available on request
- You own all code from day one