All Case Studies
Our cloud + data clients ship cost and latency wins
Two recent cloud + data engagements across AWS FinOps and BI rebuild. Real cost + adoption outcomes.
Mid-market SaaS,
AWS migration + FinOps program
Dcrayon re-architected our AWS footprint over 16 weeks. Monthly cloud spend down 42 percent, p95 latency cut in half. Migration ran without a single planned downtime window.
AWS Well-Architected review + multi-account refactor + Savings Plan + Reserved Instance + autoscaling rebuild. Zero-downtime cutover.
Read Mid-market SaaS's Case Study
B2B SaaS scaleup,
Looker semantic layer rebuild
We had three failed BI attempts. Dcrayon shipped the Looker semantic layer in ten weeks. Dashboard adoption hit 78 percent of intended users in month two.
Looker semantic layer + Snowflake warehouse + dbt transforms + adoption playbook + weekly Q+A office hours.
Read B2B SaaS scaleup's Case StudyHOW WE WORK
How Dcrayon works with the brands we partner with
A short film on how we work: the people you deal with, how we report, and the results we hold ourselves to.
THE CLOUD + DATA NUMBERS
Cloud + data services industry vs Dcrayon
Where the enterprise cloud + data market sits today and where Dcrayon outperforms across migrations, FinOps, BI, and ML.
Industry baseline
Source: Dcrayon internal cloud + data benchmark, 90-engagement sample, Q1 2026.
Cloud migrations completed on original budget34%
BI dashboards adopted by 50%+ of intended users38%
ML models shipped to production within 12 weeks27%
FinOps programs reducing monthly spend year-over-year44%
Dcrayon cloud + data outcomes
Source: Dcrayon cloud + data engagement records, 28+ active retainers, Jan-Apr 2026.
Cloud engagements landing on or below FinOps budget91%
Senior cloud + data architect on every account100%
BI dashboards hitting 70%+ adoption86%
Year-2 cloud + data retention93%
Dcrayon cloud + data footprint
From bootstrapped data warehouses to multi-region enterprise migrations, Dcrayon has shipped cloud + data work across India + US + UK + UAE since 2016.
90+
Cloud + data engagements shipped
28+
Active cloud + data retainers
Since 2016
AI-first since 2024
90+ cloud + data engagements shipped. 28+ active retainers. AI-first since 2024.
Three proprietary tools behind every cloud + data engagement
Score, Sequence, Repair. The diagnostic, the 90-day playbook, and the architecture toolkit we run on every cloud + data engagement.
Growth Intelligence (cloud + data axis)
Five-axis six-dimension diagnostic. The cloud + data axis covers architecture quality, FinOps discipline, data maturity, BI adoption, and ML readiness. Free on every proposal call.
Dcrayon Growth Engine (cloud + data sequencing)
The 90-day playbook that sequences discovery + architecture + build + cutover + FinOps lockdown back to one operational metric (monthly cost, p95 latency, dashboard adoption, model accuracy).
DcrayonsAI (cloud + data toolkit)
Internal toolkit that runs Well-Architected reviews, FinOps tag audits, cost-anomaly detection, and model-monitoring setups. Generates prioritised roadmaps your CFO can budget.
How Dcrayon delivers cloud + data programs
Three repeatable plays that compound cloud + data wins across architecture, BI, and ML.
Step 1: Score
Free Dcrayon cloud + data Score readout in one business day. Five-axis cloud + data diagnostic with a single 0-100 number plus the gap list of cost waste, untagged spend, dashboard adoption, and model debt. No follow-on commitment.
Step 2: Plan
Written 90-day cloud + data plan tied to one operational metric (monthly cost, p95 latency, dashboard adoption, model accuracy). Senior architect writes the architecture; mutual kill-switch in every SoW; no annual lock-in.
Step 3: Compound
Managed cloud + data + quarterly FinOps reviews. Most cloud + data engagements convert into multi-year retainers as cost discipline compounds and BI adoption matures.
Get my Dcrayon cloud + data Score in one business day
Free five-axis architecture + FinOps + BI + ML readout and the 90-day plan to close the gap. No slide decks.
-42%
Monthly cloud spend
Our Cloud and Data services
Seven cloud + data programs covering infrastructure, AWS, Azure, GCP, BI, migration, and predictive analytics.
Real client work, with the receipts
200%
Improvement in conversion performance
Proven Water Industries
Proven's growth on Amazon over the engagementDcrayon's work on Proven's Amazon account has run as a long-term growth programme rather...
Keratine Professional
What is in place on Keratine Professional's accountOn Amazon.in today, the brand's lead listings name the product type, the hair concern...
3,400%
Sales growth on Amazon India
GetSetNova
Sales up 3,400% on Amazon IndiaOver the engagement, GetSetNova's sales on Amazon India are up 3,400%, and the brand holds Amazon Best...
McCormick & Company
What changed on McCormick's front endThe front end now loads non-essential scripts after the main content, runs third-party tags through...
Roundglass
What changed for Roundglass's HR team, IT and new employeesAccount creation, group membership and licence assignment now follow the...
GRYT Health Labs
What GRYT shoppers can do on the storeShoppers can check the brand's licence and ownership details, compare single units with packs of...
Daddy of Tastes
What the Daddy of Tastes kitchens and riders work withCustomers can order from the full menu, pin their exact location, pay through...
Instacertify
What Instacertify's visitors could doVisitors could search for a certification from the first screen, see two clear next steps, and move...
Northern Tile Distributors
The storefront delivers a clean shopping experience on both desktop and mobile. Page load times improved significantly, the add-to-cart rate...
RAA Logistics
What RAA's customers and team have nowProspective customers can find the exact service they need, read what it covers, see who runs the...
Why choose Dcrayon for Cloud and Data
Senior cloud + data architect on every account
No junior engineers learning on your budget. The architect who scopes your cloud + data engagement stays on it.
Five-axis cloud + data Score in one business day
Written diagnostic + fixed estimate inside 24 hours. Architecture + FinOps + data maturity + BI adoption + ML readiness in one number.
Multi-cloud + vendor-neutral
AWS + Azure + GCP-certified architects on staff. We optimise for YOUR stack, not the vendor that pays the highest referral fee.
AI-first cloud + data since 2024
Every cloud + data engagement ships AI-aware work: anomaly detection, cost forecasting, copilot-assisted analyst onboarding.
Dcrayon has shipped 90+ cloud + data engagements for 28+ active retainers since 2016 from Delhi HQ and Sheridan, Wyoming. AWS + Azure + GCP-certified architects + dbt-certified analytics engineers on staff. AI-first since the 2024 pivot.
Dcrayon vs hyperscaler-only consultingDCRAYON VS HYPERSCALER-ONLY CONSULTING
Where Dcrayon Cloud + Data differentiates against Mission, 2nd Watch, Slalom, and Big-4 cloud practices on AWS / Azure / GCP migrations + BI builds.
| Feature | Dcrayon Cloud + Data | Hyperscaler-only consulting |
|---|---|---|
| Multi-cloud vendor-neutral architecture | Yes. AWS + Azure + GCP-certified architects on staff | No. single-hyperscaler bias |
| FinOps discipline from day one | Yes. Score axis covers FinOps; monthly cost-per-unit readout | Optional add-on, separate billable |
| Cloud engagements on or below FinOps budget | 91% (active accounts, Jan-Apr 2026) | 34% industry baseline |
| BI semantic layer built (Looker + dbt + Snowflake) | Yes. dbt-certified analytics engineers | Sometimes. often delegated to client team |
| MLOps from notebook to production | Yes. Vertex AI / SageMaker / Azure ML pipelines | Yes. but typically partner-staffed |
| Mutual kill-switch at day-90 | Yes. month-to-month after first 90 days | No. multi-year MSAs typical |
| Engagement budget | Rs 8-18L/mo cloud, BI + ML per-project | Rs 25-60L/mo cloud, BI + ML scope-creep risk |
| Feature | Dcrayon Cloud + Data |
|---|---|
| Multi-cloud vendor-neutral architecture | Yes. AWS + Azure + GCP-certified architects on staff |
| FinOps discipline from day one | Yes. Score axis covers FinOps; monthly cost-per-unit readout |
| Cloud engagements on or below FinOps budget | 91% (active accounts, Jan-Apr 2026) |
| BI semantic layer built (Looker + dbt + Snowflake) | Yes. dbt-certified analytics engineers |
| MLOps from notebook to production | Yes. Vertex AI / SageMaker / Azure ML pipelines |
| Mutual kill-switch at day-90 | Yes. month-to-month after first 90 days |
| Engagement budget | Rs 8-18L/mo cloud, BI + ML per-project |
The cloud + data Score is free. The 90-day plan is yours to keep.
Across Dcrayon' 28+ active cloud + data retainers from Jan-Apr 2026, FinOps + BI-adoption modelling (FAIR-method, 90th percentile) yields a median 12-month waste band of Rs 12L to Rs 120L per account for teams without a structured FinOps + semantic-layer program (n=18 with full tag inventory). Book the scoping call to size yours.
Free five-axis Dcrayon cloud + data Score in one business day
Written 90-day plan tied to one operational metric you pick
Mutual kill-switch in every SoW, no annual lock-in
Senior architect on the account from week one
Cloud + Data FAQs
AWS, Azure, GCP primary. Oracle Cloud + DigitalOcean + Linode supported for niche use cases. Multi-cloud and hybrid patterns first-class.
Yes. Warehouse (Snowflake / BigQuery / Redshift / Databricks) + transformation layer (dbt) + semantic layer (Looker / Tableau / Power BI) + adoption playbook.
Yes. Training pipelines, model registries, monitoring, retraining triggers, drift detection. Vertex AI, SageMaker, Azure ML, or self-hosted.
Cloud migrations start at Rs 8 to 18 lakhs (India) or USD 15 to 30 thousand (global). BI builds and ML programs scope per project.
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