We build it end to end
A defined scope, delivered in releases you can test. We own delivery from discovery to go-live.
Best for a new system or a rebuild
ServicesAI and integrations
We build dashboards and reports on top of your ERP and applications.
BI (business intelligence) means turning the data your systems already hold into figures a manager can read and act on. We build the dashboards, the reports and the data jobs behind them, so sales, stock, cash and operations are read from one set of numbers that refreshes on its own.
Request a quoteFrom our clients
A real estate company runs AI agents we built alongside its operations team.
What you get
What we hand over
- 01
Dashboards for each role
Screens that show your KPIs (key performance indicators, the few numbers that tell you how the business is doing) as charts, tables and maps, with filters such as date, country, product and plant. Access is by role, so a manager sees only his own area and the head office sees everything.
- 02
Reports in your own formats
Weekly and monthly reports produced on a schedule, as tables, bar charts or pie charts, with export to PDF and Excel. In ERP projects this has meant a daily pending-order report, a cash flow report and profit and loss by plant.
- 03
Data jobs that keep the figures current
ETL jobs (extract, transform, load: programs that copy data from one system, clean it and load it into another) that run every day without anyone starting them. Where staff upload files, the rows are checked first and the rejected ones are returned for correction. If a job stops, an email alert goes out. When several systems or very large volumes are involved, the data goes into a data warehouse, a separate database built only for reporting.
- 04
Forecasts, and answers in plain words
Forecast screens that set actual figures against planned ones and show what is coming, such as which parts will run short. We can also add an MCP (Model Context Protocol) server to the ERP, so your staff ask it a question from Claude or ChatGPT, for example which tickets are open, and get the answer from live records.
How it works
From scattered data to one set of numbers
A dashboard is only as good as the data under it. We agree the questions first, bring the data together, and then build the screens where your people already work.
- 1We start with the decisions each manager has to make and agree the KPIs for them. Each number gets one definition, so two departments do not report two different totals.
- 2The data is brought together by automated jobs: daily imports from the ERP, from other applications and from files. For an airline we import engine and aircraft usage, stock levels, repair orders and parts on order every day.
- 3When the ERP is Odoo, the dashboards are built inside Odoo, so users do not need a second login. For very large volumes, or data from many sources, we use Elasticsearch with Kibana, or a BI server such as Pentaho on a data warehouse.
- 4AI now does much of the building. We have had dashboards designed, developed and installed in Odoo with AI doing the work and our engineers checking it, which shortens the time from a request to a working screen.
Your options
Your options, compared honestly
- Alternative
Spreadsheets and exports by hand
Costs nothing extra and everyone knows how. It works while one person can keep up. The figures are as old as the last export, and each copy of the sheet can show a different total.
- Alternative
The standard reports in your ERP
Already paid for and the right place to start. They fall short when you need figures from more than one system, your own layout, or a forecast rather than a list of past entries.
- Alternative
A self-service BI tool run by your own staff
Tools such as Power BI or Tableau are good at charts, and a trained analyst can do a lot with them. Someone still has to bring the data together, keep it clean and decide what each number means.
- With KTree
Dashboards built by KTree
The team that builds and supports ERP systems also builds the data jobs and the dashboards, so the numbers come from the real records and stay current. You own the code and the data.
Problems we have already solved
Not praise. The problem, what we built, and what changed.
- Odoo-Based Engine & Component Forecasting Dashboard for AirlinesCase study
- Informative Dashboard for a trust Using Kibana and ElasticsearchCase study
- A BI Solution Implementation for Asset tracking industryCase study
- KTree has partnered with Mobile Internet Enhancement pioneer to provide the business and technology solutions using Elastic Search,Kibana with Shield and Kendo UI that fit their needs and drive the results they wantCase study
- Implementation of Alfresco ReportsCase study
Technology
What we build it with
- Odoo dashboards and reporting
- Elasticsearch
- Kibana
- Pentaho (reports, analysis, data integration)
- Amazon Redshift (data warehouse)
- Talend (ETL jobs)
- Amazon Athena
- PostgreSQL
- MCP servers
- AWS
Ways to work with us
A project, a team, or support for what you already run
Our engineers, your roadmap
Odoo, React, Node, React Native, AWS and PHP engineers who work as part of your team, month by month.
Best for a product that keeps growing
Keep it running
Maintenance, upgrades and urgent fixes for ERP, web and cloud systems, including ones we did not build.
Best for a system already live
Related reading
From our engineers
- ArticleSearchGuard RBAC For User Controls On Menus & Dashboards in Kibana
- ArticleCreate New form with ReactJS in Kibana using ElasticUI
- ArticleHow to Add Tags Filter in Odoo ERP Sales Reporting with SQL Query Enhancements
- ArticleProcess Nested Jsons Using AWS Athena
- ArticleTalend Best Practices
- ArticleSteps to plan your Annual Inventory Forecasts in Odoo Part1
Before you ask
Questions about BI and dashboards
Short, straight answers. Anything else, ask in the form below and an engineer will reply.
Do we need a data warehouse before we can have dashboards?
Not always. If the figures you need are in one ERP, the dashboards can be built inside it. A data warehouse, a separate database built only for reporting, is worth it when the data sits in several systems or the volume is too large to report from the live system.
Which BI tool do you use?
It depends on where the data is. For Odoo we build the dashboards in Odoo itself. For large volumes we have used Elasticsearch with Kibana, and for formal reports and analysis we have used Pentaho on Amazon Redshift.
How current are the figures?
As current as the job that feeds them. Many dashboards are refreshed once a day by a scheduled import, which is enough for planning. Screens that read straight from the live system, such as a message status board we built in Odoo, show the position as it is now.
Who can see which numbers?
Access is set by role. In one project, programme officers saw only their own dashboards, executives saw all of them, administrators could also upload data, and the public saw a separate public dashboard.
Can we ask our data a question instead of opening a dashboard?
Yes. We add an MCP (Model Context Protocol) server to the ERP, and staff ask from Claude or ChatGPT in plain words, for example which tickets are open. The assistant reads live records with the permissions of the person asking.
Request a quote
Tell us what you are building.
A senior engineer replies within one working day.
- 1An engineer reads it. Not a sales desk.
- 2A short call. To understand the scope and what you run today.
- 3A written estimate. Scope, team and timeline on paper.
- Sales
- +91 77025 00973
- Office
- +91 40 6674 7261
- info@ktree.com
- Address
- Sanali Info Park, Road No. 2, Banjara Hills, Hyderabad 500034