Question 1

What data sources can you integrate?

Accepted Answer

We connect virtually any data source — CRMs like HubSpot and Salesforce, ERPs, cloud apps, spreadsheets, databases, and custom APIs. If your data lives somewhere, we can bring it in.

Question 2

How long does a typical integration take?

Accepted Answer

Most integrations are up and running within 1–2 weeks. Complex multi-source projects may take 3–4 weeks depending on data volume and quality.

Question 3

Will my existing data be disrupted during integration?

Accepted Answer

No. We work alongside your existing systems with zero downtime. Data is copied and synced, never moved or deleted from your source systems.

Question 4

What kind of reports can you build?

Accepted Answer

Anything from executive KPI dashboards and sales performance trackers to financial reports, operational metrics, and custom ad-hoc queries.

Question 5

Can reports update in real-time?

Accepted Answer

Yes. We build dashboards with real-time or near-real-time data refresh, so you're always looking at the latest numbers.

Question 6

Do I need technical skills to use the dashboards?

Accepted Answer

Not at all. Our dashboards are designed for business users — point, click, filter, and explore. We also provide training to make sure your team is confident.

Question 7

What tools do you use for visualisation?

Accepted Answer

We work with leading platforms including Power BI, Tableau, Looker, and custom-built solutions depending on your needs and budget.

Question 8

Can visualisations be embedded in our own tools?

Accepted Answer

Absolutely. We specialise in embedding interactive visualisations directly into your applications, portals, and internal tools.

Question 9

How do you handle sensitive data in visualisations?

Accepted Answer

We implement role-based access controls so each user only sees the data they're authorised to view. All data is encrypted in transit and at rest.

Question 10

Do we need a lot of historical data for predictive analytics?

Accepted Answer

Generally, 12–24 months of clean historical data is a good starting point. We'll assess your data during discovery and advise on what's feasible.

Question 11

How accurate are the predictions?

Accepted Answer

Accuracy depends on data quality and volume, but our models typically achieve 80–95% accuracy. We continuously monitor and retrain models to improve over time.

Question 12

What types of predictions can you build?

Accepted Answer

Common use cases include demand forecasting, customer churn prediction, revenue projection, risk scoring, and anomaly detection.

Question 13

Can analytics be added to our existing SaaS product?

Accepted Answer

Yes — that's exactly what embedded analytics is for. We integrate charts, dashboards, and data features directly into your product's UI.

Question 14

Will it match our product's look and feel?

Accepted Answer

Completely. We white-label everything — custom themes, fonts, colours, and branding so it looks native to your product.

Question 15

What's the performance impact on our application?

Accepted Answer

Minimal. We use optimised data queries and caching strategies to ensure analytics load fast without impacting your application's performance.

Question 16

We don't have a data team — can you still help?

Accepted Answer

Absolutely. That's exactly who we built our consulting service for. We'll guide you from zero to a fully operational BI capability.

Question 17

What does a BI roadmap look like?

Accepted Answer

It's a phased plan covering your current data maturity, recommended tools, quick wins, long-term goals, team training needs, and estimated timelines and costs.

Question 18

Do you provide ongoing support after the initial engagement?

Accepted Answer

Yes. We offer ongoing advisory, optimisation, and support packages so you're never left on your own after launch.

Frequently Asked Questions

Data Integration

Analytics & Reporting

Data Visualisation

Predictive Analytics

Embedded Analytics

BI Consulting

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