Blog
117 Key Questions for E-Commerce Leaders
117 questions e-commerce leaders should answer across finance, marketing, sales, operations, support, technology, and BI — prioritized by business impact.
By Ross KatzRead
Your team has dashboards. Nobody trusts them.
We build analytics platforms that put the right numbers in front of the right people and make sure those numbers are correct.
Business Intelligence
Business intelligence is not about dashboards. It is about enabling your organization to make better decisions faster by putting the right information in front of the right people at the right time.
300+
Dashboards and reports delivered across all clients
87%
Annual revenue growth at an EdTech client after gaining data visibility
18
Department heads with unified real-time dashboards at a single client
Use Cases
Engagements where this is the right work.
Build executive dashboards that drive action
Give leadership a real-time view of the metrics that matter without waiting for someone to pull a report.
Fix the "my numbers don't match" problem
When finance says one thing and ops says another, the issue is almost never the people. It is the data model. We fix the model so every team sees the same truth.
Enable self-service analytics
Stop making your analysts the bottleneck. We build governed, self-service environments where business users can answer their own questions safely.
Implement a semantic layer
Define your metrics once in dbt, LookML, or Omni and reuse them everywhere. No more spreadsheet definitions that contradict the dashboard.
Embedded analytics for customers and partners
Build data into your product. We develop the infrastructure that lets your customers or external stakeholders see their own data through dashboards and reports embedded in your application.
Our Process
A structured approach that delivers results at every stage.
01
Map Decision-Making Workflows
CorrDyn's BI practice starts with understanding your organization's decision-making processes, not your data. We map out who makes which decisions, what information they need, and how they currently get it. Then we design BI solutions that fit naturally into those workflows rather than creating yet another tool people have to check.
Output: Decision inventory with metric owners and refresh cadence
02
Build and Deploy Dashboards
We build self-service analytics platforms that let business users explore data independently, executive dashboards that surface key metrics without noise, operational reports that drive daily action, and embedded analytics for customers and external stakeholders. Every deliverable includes documentation, training, and a governance framework so your team can maintain and extend the platform after our engagement ends.
From our podcasts: Unlocking the Power of Semantic BI with Hashboard, From Pipelines to People: Building Data Teams with Lindsay Murphy, and Enhancing Developer Efficiency with SQLMesh.
Output: Production dashboards, semantic layer, and a hands-on training session
03
Govern Metrics and Definitions
Great BI starts with great data modeling. We implement semantic layers using tools like dbt, Looker's LookML, and Omni that create a single source of truth for business metrics. This eliminates the "my numbers don't match yours" problem and ensures everyone in the organization is working from the same definitions. See how we built a BI platform for a healthcare ecommerce company and optimized data operations for a trade association.
Output: Metric catalog with definitions, owners, and approval workflow
Insights
Perspectives from our team on business intelligence.
Results
Real outcomes from real engagements.
Enterprise Technology
Embedded Analytics Modernization for a Payroll SaaS Platform
Sub-second for payslip, payroll register, and leave balance reports
Query latency
~6 minutes end-to-end, tunable to under 5
Data freshness
Healthcare / Home Care Services
Government Reporting Overhaul for a Home Care Platform
~100 CMS-required reports
Government reports stabilized
February 1 CMS filing
Regulatory deadline met
Automotive / Retail
ML Customer Segmentation for an Automotive Dealer Group
300+ features from vehicle sales, service history, and customer survey
Feature integration
8 clustering algorithms with Bayesian hyperparameter optimization
Algorithms evaluated
Frequently Asked
Questions
Which BI tool should my organization use?
It depends most on who will use it and what they need to accomplish. A sales team that lives in spreadsheets has different requirements than an analytics team writing SQL. Beyond user needs, we evaluate your existing infrastructure, data maturity, and budget. Looker integrates deeply with BigQuery, Omni integrates deeply with dbt, Power BI is cost-effective for Microsoft-heavy organizations, Sigma gives spreadsheet users direct warehouse access, and Rill Data works well for developer-first teams needing operational dashboards. We help you evaluate the right tool for your context.
How do you ensure dashboards get adopted by the team?
Adoption starts with design. We work directly with the people who will use the dashboards to understand their daily decisions and information needs. We build iteratively, ship early, and refine based on feedback. Beautiful dashboards that nobody uses are a waste of money.
Can you help with our existing BI setup that is not working?
Many of our engagements start with auditing an existing BI implementation that has become slow, unreliable, or ignored. We diagnose the root causes, often a combination of poor data modeling, missing governance, and dashboards that do not answer real questions, and rebuild from there.
How long does a BI implementation take?
A focused first phase, executive dashboards, core metrics, and semantic layer, typically takes 6-10 weeks with a 2-person team. Full rollouts with self-service analytics and team training typically run 3-5 months. We scope to deliver usable dashboards within the first 2-3 weeks so you see value immediately.
Do you train our team to use the dashboards?
Yes, and we consider it essential. Every engagement includes hands-on training for end users, documentation for your analytics team, and a governance framework so definitions stay consistent after we leave. We are building your capability, not a dependency on us.
Can you build dashboards for our customers or external stakeholders?
Yes. We build embedded analytics infrastructure that serves data to external users through dashboards within your application. This requires different engineering than internal BI: multi-tenant data isolation, role-based access, and performance at scale. We have built public-facing analytics platforms on MotherDuck and other warehouses.
Tired of reports nobody trusts?
Your team deserves numbers they can act on. Let’s figure out what’s broken and build something they’ll actually use.
Book an Intro CallOur Other Services
Or, see what else we do.
Data Engineering
Build reliable, cost-effective data pipelines on AWS, GCP, and Azure. CorrDyn designs and implements data infrastructure that scales.
Learn more
Data Quality & Governance
Fix the trust problem in your data. CorrDyn implements testing, validation, governance frameworks, and metric definitions your organization can maintain.
Learn more
Marketing Analytics
Connect marketing spend to revenue. CorrDyn builds attribution models, customer segmentation, marketing mix models, and ROI reporting across channels.
Learn more
Managed Data Team
Get a full data team without the hiring timeline. CorrDyn embeds the specific skill sets you need and owns outcomes, not just hours.
Learn more