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Data Insights-as-a-Service

Data Insights-as-a-Service services by Prominent AI Services LLP

What Is Data Insights as a Service?

Data insights as a service is a subscription in which our analysts and data scientists regularly analyse your business data and deliver dashboards, findings and recommendations, giving you an analytics team without hiring one.

Many growing businesses have data but no analyst to interpret it. Data Insights-as-a-Service delivers clear monthly reports, KPI tracking and AI-generated recommendations, giving you a data science team on demand.

Monthly analytics reports with automated recommendations. At Prominent AI Services LLP, we deliver data insights as a service end to end, from discovery and data preparation to deployment, monitoring and support, so your teams get dependable results quickly and securely.

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What We Deliver

Monthly analytics reports with automated recommendations.

Ideal for: SMEs, Agencies, Consulting Firms. We start with a short onboarding to understand your data and goals, configure the service, agree service levels and then deliver continuous updates, reports and improvements under a transparent monthly plan.

Business problems data insights as a service solves

  • You have data but no analysts. Hiring a full data team is expensive and slow. A subscription gives you experienced analysts from the first month.
  • Reports describe but do not advise. Each cycle includes findings and recommended actions, not just charts.
  • Insights arrive too late. Scheduled analysis and alerts highlight changes in sales, costs or customer behaviour as they happen.
  • Analytics needs vary month to month. The service scales up for planning seasons and down in quieter periods.

Data insights use cases by industry

  • Real estate: occupancy, pricing and lead-conversion analysis.
  • Education: enrolment trends, course performance and student retention.
  • Logistics: delivery performance, cost-per-shipment and route analysis.
  • Media and entertainment: audience growth, engagement and content performance.
  • Financial services: portfolio, customer and product profitability analysis.

Tools and technologies we use

We connect to your existing systems and build a secure, automated data model, usually on Microsoft Fabric or a cloud warehouse. Analysis is done in SQL and Python, and results are shared through Power BI dashboards, written reports and review calls. Forecasting and segmentation use the methods described in advanced analytics.

How the service works

  1. Onboarding: we agree your goals and key measures, and connect to your data sources.
  2. Foundation: we build a clean data model and core dashboards (see data visualization and dashboards).
  3. Regular analysis: each cycle, analysts review performance and investigate changes and opportunities.
  4. Insight review: findings and recommendations are presented in a short meeting with your team.
  5. Improve: new questions and data sources are added as your needs grow.

How you can work with us

The service is offered as a monthly subscription with a defined number of analyst hours and deliverables. If you prefer to build your own team, you can hire data analysts or data scientists instead. For a one-off investigation, see exploratory data analysis.

Why choose Prominent AI for data insights

  • A complete analytics team for less than the cost of one senior hire.
  • Recommendations tied to your business goals.
  • Your dashboards and data model remain yours.
  • Flexible scope that changes as your needs change.

Want regular insight without building a data team? Tell us about your business and data, and we will propose a subscription plan. Start your AI journey.

Last updated: October 2026 · Prominent AI Services LLP engineering team

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Frequently Asked Questions

Common questions about our Data Insights-as-a-Service services.

What is included in the monthly report?

KPI trends, performance drivers, anomalies, forecasts and prioritised recommendations, plus a review call with our analysts.

Sales, marketing, web analytics, finance and operations data from tools such as Google Analytics, CRM, ERP and spreadsheets.

Yes. Plans are designed to be affordable for SMEs and agencies.

Pricing is a fixed monthly fee based on the number of data sources, dashboards and analyst hours included. There is a one-time onboarding fee for connecting data and building the foundation.

Onboarding typically takes two to four weeks. The first dashboards and an initial findings review follow straight after.

Plans usually start with a short initial term so the data foundation can be built, followed by monthly renewal. Terms are agreed with each client.

They remain yours. We hand over the data model, dashboards and documentation so your team or another provider can continue.

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