Free tool

Design your
data platform.

AI gives you the solution.
Expertise gives you the right question.

6 steps · tailored architecture, tools, costs, and first steps.

1
Problem
2
Sources
3
Stack
4
Data profile
4
Constraints
6
Goal
Step 1 of 6

What's your data problem?

Describe what's broken, slow, or missing — including where data comes from and where it needs to go. Be specific.

0 / 50 words
Also — what does success look like in 90 days?
0 / 12 words
Access code

Free — works 5×/day. Get one via LinkedIn if you hit the limit.

Step 2 of 6

Confirm your data sources.

We picked these up from your description — remove any that are wrong and add anything we missed.

Detected sources — tap × to remove
Input frequency — how often does source data arrive?
Real-time / streamingSub-second to seconds
Near real-timeEvery few minutes
Hourly batchesScheduled per hour
Daily batchesOnce a day
Weekly or manualAd hoc or scheduled
MixedVaries by source
Step 3 of 6

What's your current tech stack?

We'll build around what you have — not replace everything. Type a tool and press Enter.

Cloud provider
AWS GCP Azure Multi-cloud None / On-prem
Tools already in use

Type a tool name and press Enter — e.g. Airflow, Redshift, Tableau, dbt…

Anything you want to avoid — and why?
Step 4 of 6

Tell us about your data.

Volume, freshness, and structure — these three shape most of the architecture.

Data volume
SmallUnder 10 GB
Medium10 GB – 500 GB
Large500 GB – 5 TB
Very large5 TB+
Processing frequency — how fresh does output need to be?
Real-timeSeconds
Near real-timeUnder 15 minutes
HourlyEvery hour
DailyOvernight or morning
WeeklyOnce a week
Data variety
Structured onlyTables, rows, relational data
Structured + semi-structuredJSON, logs, event streams
Includes unstructuredDocuments, images, PDFs
Step 5 of 6

What are your constraints?

These change the architecture more than most people realise.

Compliance requirements
HIPAA GDPR SOC 2 PCI-DSS None
Who maintains this after setup?
Non-technical founder / opsNeeds fully managed, low-ops tools
Developer — part-timeCan handle moderate complexity
Hiring a data engineerCan inherit any stack
Fully managedMinimal operational overhead
Monthly infra budget (excluding setup fees)
Under $500
$500 – $2k
$2k – $5k
$5k+
Step 6 of 6

What's the primary goal?

This shapes the output layer and how we prioritise the build.

Business dashboards & reportingKPIs, revenue, operations for leadership
Customer analytics & segmentationBehaviour, cohorts, churn analysis
ML / AI readinessClean, structured data for training
Compliance & governanceAudit trails, access controls, lineage
Real-time operational monitoringLive alerts, ops dashboards
Replace manual reportingAutomate spreadsheet exports and reports
Investor reporting & KPIsBoard decks, MRR, growth metrics
Designing your platform…
About 30 seconds
Reading your problem and sources
Matching tools to your cloud and stack
Resolving input vs processing frequency
Checking constraints and budget
Generating your architecture
While you wait
Need someone to actually build this?

Encore is a data platform consulting practice — audit what you run, or build production-ready on AWS and Snowflake from scratch.

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