Question 1

What data analytics services do you provide?

Accepted Answer

We provide custom reporting dashboards, data pipeline and ETL development, Google Analytics 4 setup and configuration, conversion tracking, data warehouse setup, business intelligence visualization, cohort analysis, and ongoing reporting. We connect data from your CRM, ad platforms, website, e-commerce store, and operations into a single unified view.

Question 2

What reporting tools do you use?

Accepted Answer

We build custom dashboards using Looker Studio (formerly Google Data Studio) for most clients — it's free, powerful, and connects to 800+ data sources. For advanced analytics we use Metabase or Retool. We also set up and configure GA4, Google Tag Manager, and conversion tracking. We choose tools based on your existing stack and team's technical comfort.

Question 3

Can you connect multiple data sources into one dashboard?

Accepted Answer

Yes — that's one of our most common engagements. We regularly combine data from Google Ads, Meta Ads, GA4, Shopify, HubSpot, Salesforce, PostgreSQL, and spreadsheets into a single dashboard. You stop logging into 5 different platforms to get your numbers and see everything in one place, updated automatically.

Question 4

How long does it take to build a custom dashboard?

Accepted Answer

A standard multi-source dashboard takes 1–2 weeks to build and connect. Complex dashboards with custom data transformations, large datasets, or unusual data sources take 3–4 weeks. We start with a discovery session to understand what metrics you actually need — most clients have too many reports and not enough decision-relevant data.

Question 5

What is the difference between reporting and analytics?

Accepted Answer

Reporting tells you what happened (revenue last month was $X). Analytics tells you why it happened and what to do next (revenue dropped because paid ad CPL increased 40% when iOS 17 rolled out — here's how to compensate). We build both: automated reporting dashboards for regular monitoring and analytical engagements that answer specific business questions.

Question 6

Can you migrate or clean our existing data?

Accepted Answer

Yes. Data migration and cleansing are often the first step of an analytics engagement. We handle deduplication, field standardization, historical data imports, and schema design for your data warehouse. Clean data is the foundation of reliable analytics — most businesses have years of messy data that makes their reports untrustworthy. We fix that.

Question 7

How secure is our business data?

Accepted Answer

We follow data security best practices throughout: encrypted connections for all data transfers, role-based access control so only authorized team members see sensitive data, environment-based credentials management (no passwords in code), and GDPR/CCPA-compliant data handling. All client data is treated as confidential and never used for any other purpose.

Question 8

What does a typical data analytics engagement include?

Accepted Answer

A standard engagement: (1) Data audit — understanding what data you have and where it lives, (2) KPI definition — aligning on the 5–10 metrics that actually drive decisions, (3) Pipeline setup — building automated data flows from all sources, (4) Dashboard build — custom visualizations for your team, (5) Training — walkthrough so your team can use it independently. Monthly reporting management is available ongoing.

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