[00] Business Intelligence
Business Intelligence Development Company for Dashboards and Data Warehouses
We build business intelligence that answers the questions your managers ask every week. Data from your ERP, CRM, accounts, spreadsheets and apps is brought into one warehouse, cleaned and modelled, then shown in dashboards and reports that update on a schedule instead of being rebuilt by hand.
key facts
- dashboards on desktop, tablet and phone
- Web & mobile
- warehouse and pipelines run in your own account
- Your cloud
- security, so each role sees only its own data
- Row-level
- or a dedicated team, quoted after scoping
- Fixed scope
What we deliver
What you get with Business Intelligence. Nine parts of the service, each scoped with you.
Good BI starts with agreeing what each number means. Before we build, we sit with finance, sales and operations to define the KPIs, where each one comes from and who needs to see it. A prototype dashboard comes early, so you can change direction before the pipelines are built.
We work in Power BI, Tableau, Looker and open-source tools such as Metabase and Apache Superset, or build custom dashboards into your own web and mobile apps. The warehouse runs in your cloud account, with access controlled by role so each person sees only the data they should.
- t.01
KPI and reporting design
We agree the metrics, their exact definitions and their sources with each department, so a figure means the same thing on every dashboard.
- t.02
Data warehouse design
A central warehouse on Snowflake, BigQuery, Amazon Redshift, Azure Synapse or PostgreSQL, modelled for reporting rather than copied table by table.
- t.03
Data integration and pipelines
Scheduled pipelines pull data from ERPs, CRMs, accounting systems, spreadsheets and APIs, then clean, de-duplicate and load it into the warehouse.
- t.04
Dashboards and reports
Executive, sales, finance and operations dashboards with tables, charts, gauges and maps, plus scheduled reports sent by email.
- t.05
Custom BI applications
When an off-the-shelf tool does not fit, we build BI screens into a web, desktop or mobile app of your own, with the same warehouse behind them.
- t.06
Cloud BI
Container-based BI infrastructure on AWS, Azure or Google Cloud that scales with your data and users, with costs you can see per service.
- t.07
Self-service models
Clean, documented semantic models that let analysts build their own reports without writing SQL or breaking the agreed definitions.
- t.08
BI implementation and migration
Data preparation, architecture fixes and migration from Excel reports or an older BI tool, with old and new figures reconciled before switch-over.
- t.09
AI on top of BI
Forecasts, anomaly alerts and natural-language questions answered from your warehouse, with every answer linked back to the query behind it.
connect your data
Connect your data. One warehouse, so every dashboard reads the same numbers.
Your figures already exist, spread across your ERP, CRM, accounts, spreadsheets and apps. Scheduled pipelines pull them into one warehouse, clean and model them, and keep every dashboard and report up to date without rebuilding anything by hand.
Data analytics & insights- erpERPorders · stock · purchasing
- crmCRMleads · deals · accounts
- acctAccountingledger · invoices · payments
- shopE-commerceorders · returns · products
- xlsSpreadsheetsbudgets · targets · trackers
- dbDatabasesSQL · app tables · logs
- webWeb analyticstraffic · funnels · events
- mktMarketingcampaigns · spend · leads
- apiCloud appsSaaS tools · APIs
extract: ERP, CRM, Accounting, E-commerce, Spreadsheets, Databases, Web analytics, Marketing, Cloud apps → data warehouse (cleaned · modelled · refreshed) → dashboards · reports · alerts
- dw.01 · connect
Built on the systems you run
Pipelines pull from the ERP, CRM, accounting tools and spreadsheets your teams already use, on a schedule you agree.
- dw.02 · define
One definition per number
Each KPI is defined once, with finance, sales and operations, so revenue or margin means the same on every dashboard.
- dw.03 · access
Your cloud, your access rules
The warehouse runs in your cloud account, with access by role so each person sees only the data they should.
Why it matters
The difference it makes to your business. Results your team will notice.
Business Intelligence is planned around these outcomes, measured against a baseline we agree with you up front.
Discuss your project- 01
One version of the numbers
Sales, finance and operations read the same agreed figures, so meetings are spent on decisions, not on whose spreadsheet is right.
- 02
Less time building reports
Reports refresh on a schedule, so analysts stop copying and pasting every Monday and start looking at what changed.
- 03
Earlier warning
Dashboards and alerts show a drop in sales, a rise in costs or a stock problem while there is still time to act.
- 04
Access by role
Each manager sees their own branch, region or team, while leadership sees the whole business from the same model.
How we work
How we deliver Business Intelligence
A clear five-step process, so you always know what happens next and what you will get.
Every project starts with a free, no-obligation consultation.
$ appsinai run --pilot-first
Step 1: Gather requirements
We interview the people who will use the dashboards, list the decisions they make and agree the KPIs and data sources.
Step 2: Audit data and design
We check the quality of each source, design the warehouse and pipelines, and sketch the dashboard layout and navigation.
Step 3: Prototype
A working prototype on real data lets your team test the layout and definitions early, while changes are still cheap.
- gatego / no-go on the results before “Build and reconcile”
Step 4: Build and reconcile
We build the pipelines, warehouse and dashboards, and reconcile the figures against your current reports until finance signs them off.
Step 5: Deploy, train and support
Dashboards go live on web and mobile, users are trained by role, and we monitor pipelines and add reports as needs grow.
↺ results feed the next improvement cycle$
Security & control
Data access your IT team can sign off
A warehouse brings sensitive data together in one place, so access, encryption and auditing are designed in from the first pipeline.
Ask us about security- 01
Row-level and role-based access
Permissions are set by role, branch or region in the BI layer and the warehouse, so a dashboard never shows more than the viewer is allowed to see.
- 02
Read-only source connections
Pipelines use read-only accounts on your source systems, with credentials held in a secrets manager rather than in code.
- 03
Encryption in transit and at rest
Data is encrypted between systems and in the warehouse, using your cloud provider's key management.
- 04
Audit trails and lineage
Every pipeline run is logged and each metric can be traced back to its source tables, which helps with audits and regulatory questions.
where this fits
Dashboards are the last step. They show the numbers the data work is meant to move.
A dashboard is only as good as the data under it. Behind every report we build are the same stages: data collected, labelled where needed and analysed before it reaches a chart.
- stage.01 · collectout → raw rows
Data collection & web scraping
Exports from your own systems, plus public or partner sources gathered into clean, structured rows.
- stage.02 · labelout → labelled rows
Annotation & labelling
People tag text, images and records to an agreed guide, and a second reviewer checks the hard cases.
- stage.03 · analyseout → findings
Data analytics
We clean and profile the data, find what actually predicts the outcome and spot gaps before anything is built on it.
- stage.04 · reportyou are hereout → dashboards
Business intelligence
Dashboards your managers will open, showing the numbers the work is meant to move.
FAQ
Questions about Business Intelligence
Straight answers to what buyers ask us most. Can't find what you need?
Email sales@appsin.ai or call +91-9025555584.
Ask us directlyWhat does a business intelligence development company do?
We connect your data sources, build a warehouse and pipelines that keep it clean and current, and design dashboards and reports on top. The result is a reporting system your team uses every day instead of a one-off analysis.
What is the difference between BI and data analytics?
BI tracks what is happening through agreed KPIs, dashboards and reports that refresh automatically. Data analytics digs into why it happened and what is likely next, using statistics and predictive models. Most businesses need BI first, then analytics on top of the same data.
Which BI tools do you work with?
Power BI, Tableau, Looker, Metabase and Apache Superset, and custom dashboards built into web or mobile apps. If you already have licences, we build on them. If not, we recommend a tool based on your users, data volume, existing Microsoft or Google set-up and budget.
Do we need a data warehouse?
If your reports combine data from more than one or two systems, usually yes. A warehouse keeps history, applies one set of definitions and stops dashboards from slowing down your live systems. For a single source, a well-modelled direct connection can be enough to start.
Can you improve our existing Power BI or Tableau set-up?
Yes. We often take over existing reports, fix slow or conflicting models, move logic out of individual reports into a shared model and document what each measure means.
Can dashboards update in real time?
They can, where the source systems allow it, through streaming or frequent refreshes. Most management reporting works well with hourly or daily refreshes, which cost less to run, so we agree the refresh rate per dashboard.
How much does a BI project cost?
It depends on the number of data sources, how clean they are, the number of dashboards and users, and the tool licences. After a scoping call you get a fixed quote or a dedicated team proposal.
Estimate your project costFree PDF brochure
Business Intelligence brochure
Features, outcomes, delivery process and FAQs in one PDF you can share with your team or management.
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related
Keep exploring
- Data Analytics & InsightsForecasts, customer analysis and predictive models built on the same data as your dashboards.
- Machine Learning DevelopmentModels for forecasting, scoring and anomaly detection, trained on your warehouse data.
- AI readiness checklistCheck whether your data, systems and team are ready for analytics and AI projects.
- AI & ML DevelopmentEnd-to-end AI and machine learning development, from a feasibility check and proof of concept to models running inside your ERP, CRM or apps.
- Generative AI DevelopmentGenerative AI applications that draft, summarise, search and answer from your own content, built on the model that fits and tested before rollout.
- AI Agent DevelopmentAI agents that read, decide and act across your systems, completing multi-step tasks with human approval where it matters and a log of every step.
- AI Chatbot DevelopmentCustomer-facing AI chatbots on your website, WhatsApp and app that answer from your content, complete simple tasks and hand difficult conversations to your team.
- ChatGPT & OpenAI IntegrationOpenAI models built into your apps, SaaS products and internal tools, with retrieval over your data, tested prompts and running costs you can plan for.
- LLM DevelopmentWe select, adapt and deploy large language models for your tasks, from fine-tuned open-source models on your servers to integrations with hosted APIs.
Further reading
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Free consultation
Get one version of the numbers
Tell us which systems hold your data and which reports take longest to build. We will propose a warehouse and dashboards, starting with a prototype on your own data.