Head of data or analytics
The challenge
Opaque lineage, tribal knowledge in pipelines, and BI backlogs that never reach business users.
What you need
Lineage-first pipeline design and semantic models your team and auditors can trace.
1Who we help
Built for teamsthat need trusted data.
Intronsoft data and analytics fits teams that need governed cloud pipelines, lineage you can defend to auditors, and conversational analytics business users can verify, not dashboard backlogs or opaque ETL vendors.
CDO or VP data platform
The challenge
Legacy warehouses blocking AI readiness; migration to Snowflake, Databricks, or BigQuery stalling on unknown dependencies.
What you need
Documented estate maps and migration themes before platform spend is committed.
Product or operations leader
The challenge
Executives asking questions dashboards cannot answer; AI pilots that hallucinate without cited sources.
What you need
ThinkCore conversational analytics with source-cited answers on governed data.
We work across fintech, healthtech, SaaS, manufacturing, retail, and other industries where data lineage, compliance, and trusted analytics are competitive requirements.
2What we deliver
From lineage to insights,on your cloud platform.
Forward-deployed partner engineers on your data estate, with the Tracer compressing lineage discovery and ThinkCore agents delivering source-cited answers on governed semantic models.
Data strategy and governance
Lineage maps and governance themes before platform spend.
Clarity on the data you own, lineage across systems, ownership models, and what stands between your current state and AI readiness.
Pipeline and platform engineering
Governed pipelines on your chosen cloud data platform.
Reliable batch and streaming pipelines on Snowflake, Databricks, BigQuery, or the cloud platform your team has standardized on.
Lake and warehouse architecture
Architecture guardrails and environments your team can operate.
Lakehouse, warehouse, and medallion patterns with environments, security baselines, and observability from sprint one.
BI and dashboarding
Metrics and dashboards aligned to decisions that matter.
Dashboards your business actually uses, built on the metrics that matter, with migration off Tableau, Looker, or legacy BI without losing reports.
Conversational analytics via ThinkCore
Source-cited answers business users can verify before they act.
ThinkCore on your enterprise data: the Orchestrator coordinates retrieval and answer planning; the Investigator delivers plain-language questions and source-cited answers grounded in semantic models we build with your team.
Semantic layer and metrics design
Shared semantic models for BI and conversational analytics.
Approved definitions, dimensions, and metrics that power both BI and ThinkCore, so every answer traces to a governed source.
Data migration and estate mapping
Documented lineage and migration themes before cutover.
The Tracer maps lineage across legacy databases, files, and SaaS exports, with cloud-ready pipeline and migration themes before cutover.
Lineage-first from day one
Lineage sketches and pipeline themes before build.
Lineage sketches, pipeline themes, and semantic model outlines produced by the Tracer and ThinkCore agents before build commitments.
3Delivery agents · Tracer, Orchestrator & Investigator
Lineage mapped,answers cited.
Before engineers build pipelines, the Tracer maps data lineage across your estate and designs cloud-ready pipeline, lake, and warehouse themes. Inside ThinkCore, the Orchestrator coordinates retrieval, validation, and answer planning; the Investigator delivers source-cited responses grounded in your approved semantic models. Discovery tax is paid up front, not on your platform budget.
Before sprint one
01
Tracer
Data lineage maps and cloud-ready pipeline themes.
Maps lineage across legacy estates and designs cloud-ready pipelines, lake and warehouse targets, and migration themes aligned to your governance priorities.
02
Orchestrator
Retrieval, validation, and answer planning inside ThinkCore.
Coordinates multi-agent orchestration inside ThinkCore: retrieval across your semantic models, validation gates, and answer planning on enterprise data.
03
Investigator
Source-cited answers grounded in your semantic models.
Delivers plain-language responses with traceable data on every claim, grounded in the semantic models and metrics your data team approves.
Together they deliver what conventional data discovery phases take weeks to produce, compressed into structured artifacts your team and auditors can trace. ThinkCore is our commercial product; the Orchestrator and Investigator run live inside it. Senior engineers then focus on the 20–30% of work that requires human judgement: platform trade-offs, domain metrics, and production pipeline decisions.
Grounding AI agents in your data estate? See our agentic AI development service. Modernizing legacy applications alongside data? Explore legacy application modernization.
4Engagement process
Phase by phase,with artifacts you keep.
Engagements follow a phase-gate model with visible deliverables at each step. You keep every artifact; we embed partner engineers and run delivery agents on your data estate.
01
Data & Analytics Readiness Session
Free working session on your data estate. Senior consultant runs the Tracer and ThinkCore agents on your context.
You keep
Lineage sketch, pipeline themes, ThinkCore demo on sample or sandbox data
02
Estate mapping and governance baseline
Tracer intake across sources, pipelines, BI assets, and compliance constraints. Lineage gaps and ownership mapped.
You keep
Lineage map, governance themes, prioritized data backlog
03
Platform architecture and semantic design
Architect finalizes lake or warehouse design, pipeline patterns, and guardrails. Semantic layer and metrics scoped for BI and ThinkCore.
You keep
Architecture decision record, NFRs, semantic model outline
04
Pipeline and analytics delivery
Two-week sprints with embedded partner engineers. Pipeline increments, dashboard releases, and ThinkCore rollout each cycle.
You keep
Working pipelines, dashboard releases, ThinkCore configuration
05
Launch and handover
Production cutover, monitoring, documentation, and knowledge transfer. Optional ongoing platform evolution.
You keep
Runbooks, lineage documentation, semantic models, roadmap recommendations
Data engineering pods typically deploy in 2–3 weeks after the working session. First governed pipelines and ThinkCore pilots often reach production in 8–16 weeks depending on estate complexity; we quote honestly after the Data & Analytics Readiness Session, not from a generic rate card.
New product features on your data platform pair with our custom software development practice when delivery runs alongside analytics.
5Partner engineering
Human layer
Partner engineering makes it accountable
Our engineers embed inside your organization, domain-matched, senior, and outcome-aligned. Not a delivery center.
- Domain-matched to your stack and business
- Senior, they own architecture and production decisions
- Outcome-aligned, clear delivery and quality goals
99%
99% client renewal across multi-year engagements.
6Case study
Production outcomes.Partner engineering.
Embedded senior engineers who own results in production, drawn from 120+ delivered projects. 95% of new clients come from referrals.
7Next steps
Free working session
Every engagement starts here.
Book a call, run a session on your context, and receive a tailored proposal with no commitment required.
- 1
Schedule a call
At your convenience.
- 2
Working session
Senior consultant, not an SDR.
- 3
Tailored proposal
Yours to keep, either way.
7FAQ
Data strategy, lineage mapping, pipeline and platform engineering, lake and warehouse architecture, BI and dashboarding, semantic layer design, ThinkCore implementation, and optional ongoing support. The Tracer maps lineage first; partner engineers own governed pipelines, semantic models, and production sign-off.
BI vendors sell dashboards; we map lineage first and embed partner engineers who own governed pipelines and semantic models. The Tracer compresses estate discovery; ThinkCore agents deliver cited answers on data your team approves. You get traceable metrics, not another layer of unattributed reports.
Snowflake, Databricks, BigQuery, and AWS, Azure, or GCP data services are standard scope. Architecture guardrails document platform choices before build.
ThinkCore is our commercial product for conversational analytics on enterprise data. The Orchestrator and Investigator run live inside ThinkCore. Delivery agents like the Tracer run inside engagements and are not licensed separately.
Yes. We map existing reports and metrics, rebuild on governed semantic models, and optionally roll out ThinkCore as a conversational front-end so business users can verify answers at the source.
A lineage sketch and pipeline themes from your estate brief, plus a ThinkCore demo on sample or sandbox data, run by a senior consultant using the Tracer. You keep the artifacts. We respond within 24 hours with no commitment required.
Related services
Data and analytics engagements often extend into agentic AI, custom product delivery, or legacy modernization. Explore what pairs with your data roadmap.