ImpactBI | Enterprise Analytics as a Service

ImpactBI delivers analytics, dashboards, predictive models, and AI-powered insights as a fully managed service — so your organisation gets enterprise-grade intelligence without the cost, complexity, and time of building an in-house analytics function.

Most organisations need enterprise analytics. Few can justify the cost of building it. ImpactBI bridges that gap.

The real cost of enterprise analytics is not the BI tools — it is the data engineers, data scientists, and analytics engineers required to build and maintain the infrastructure.

Talent cost

A senior data engineer, analytics engineer, and BI developer together cost $400K–$600K per year before tools, infrastructure, and management overhead.

Time to value

Hiring, onboarding, platform setup, and first dashboard delivery takes 3–6 months minimum. Most organisations cannot wait that long.

Capability gaps

Most in-house teams build for today’s requirements. Predictive models, AI-augmented insights, and enterprise governance require specialised depth that is hard to sustain internally.

ImpactBI gives you enterprise analytics capability on day one — without the hiring timeline, infrastructure investment, or organisational overhead.

When analytics capability matters more than analytics ownership.

Building In-House:

With ImpactBI:

Managed BI, predictive intelligence, and data platform — fully owned and operated by CaliberFocus.

Managed BI & Dashboards

Enterprise dashboards built, maintained, and evolved by our team

ImpactBI takes full ownership of your organisation’s BI environment — from data modelling and pipeline maintenance to dashboard design, user access management, and continuous iteration. You get enterprise-grade BI without any of the operational overhead.

Dashboard design and build — executive, operational, and functional dashboards built on Power BI, Tableau, or Looker to your specifications
Semantic layer ownership — certified metrics, KPI definitions, and data models maintained and governed by the ImpactBI team
Monthly iteration cycles — regular refinement, new report development, and enhancements based on your evolving business priorities
User access and licence management — role-based access, workspace governance, and platform administration handled end to end
Performance monitoring — dashboard load time, query performance, and platform health maintained to enterprise SLAs
Report rationalisation — audit and consolidate legacy reports, eliminate redundancy, and migrate to governed certified datasets

Predictive Models & AI-Powered Insights

Analytics that forecasts outcomes and surfaces what you need to know

Beyond descriptive dashboards, ImpactBI delivers predictive and AI-augmented intelligence — models that forecast what will happen, systems that detect anomalies automatically, and smart narratives that explain data changes without requiring analyst intervention.

Domain-specific predictive models — churn, demand, risk, and performance forecasting models calibrated to your industry and data
Automated anomaly detection — AI-powered alerts when KPIs deviate from expected patterns, with root cause analysis delivered automatically
Smart narrative generation — natural language summaries of data changes, trend drivers, and performance variance generated on schedule
Forecast dashboards — forward-looking intelligence overlaid on operational dashboards with confidence intervals and scenario comparisons
Model monitoring and maintenance — drift detection, accuracy tracking, and retraining managed by ImpactBI as part of the service
AI insight delivery — weekly or daily automated insight reports surfacing the most important signals from your data to leadership teams

Data Pipeline & Platform Management

The data infrastructure that makes all analytics possible — managed

Analytics is only as reliable as the data feeding it. ImpactBI includes full management of the data pipelines, transformations, and platform infrastructure that underpin every dashboard and model — so your analytics never breaks because a pipeline failed.

Data pipeline ownership — build, monitor, and maintain the ETL/ELT pipelines that feed your analytics environment
Data quality management — validation rules, anomaly detection on data inputs, and quality alerts before errors reach dashboards
Cloud platform management — Snowflake, BigQuery, or Synapse administration, cost optimisation, and performance tuning
Source system integration — connect ERP, CRM, EHR, and operational systems to the analytics platform with ongoing maintenance
Data freshness SLAs — guaranteed data currency for dashboards and models, with monitoring and alerting for pipeline failures
Governance and documentation — data lineage, metadata management, and data dictionary maintained and updated continuously

Essentials to Enterprise — all tiers include dedicated senior delivery, not junior analyst staffing

ImpactBI Essentials

Growing organisations establishing a governed analytics foundation

Up to 5 certified dashboards

Core data pipeline management (up to 3 sources)

Monthly iteration and refinement cycles

Power BI or Tableau platform management

Data quality monitoring and alerting

Monthly analytics review and roadmap session

ImpactBI Professional

Mid-market enterprises scaling analytics across departments

Up to 15 certified dashboards across functions

Full data platform management (unlimited sources)

Bi-weekly iteration cycles and priority request queue

Predictive model development and maintenance (up to 3 models)

Automated anomaly detection and smart narratives

Dedicated analytics lead — senior engagement, not junior delivery

ImpactBI Enterprise

Large enterprises requiring full analytics function delivery

Unlimited dashboards and certified datasets

Full analytics engineering team — data, BI, and data science

Weekly iteration cycles with dedicated sprint planning

Advanced predictive modeling program (unlimited models)

AI-augmented insights, forecast automation, and decision support

Executive analytics advisory — strategy, roadmap, and board reporting

Five stages. First dashboards in week two. Predictive models by day 30.

Onboard

Data source access, platform setup, stakeholder interviews, and analytics priorities agreed in week one.

Connect

Data pipelines built to your sources. Clean, validated data flowing to the analytics platform within days.

Build

First certified dashboards, semantic layer definitions, and KPI frameworks delivered in weeks one and two.

Intelligence

Predictive models, anomaly detection, and AI-augmented insights added to the platform in the first month.

Evolve

Continuous iteration, new models, expanded coverage, and roadmap planning on monthly or bi-weekly cycles.

Managed analytics for healthcare, financial services, and enterprise organisations.

Healthcare & RCM

Revenue cycle intelligence — denial rates, AR days, cash collections, and coding accuracy delivered in a managed RCM analytics environment

Clinical quality dashboards — MIPS, HEDIS, Stars, and quality programme metrics managed and delivered without internal data science resources

Operational analytics — ED throughput, OR utilisation, bed management, and staffing KPIs in a fully managed hospital operations environment

Payer analytics — claims performance, contract compliance, and underpayment identification delivered as an ongoing managed service

Financial Services

Executive financial reporting — P&L, balance sheet, and capital metrics delivered to the board without building an internal analytics team

Sales and CRM analytics — pipeline, conversion, and relationship manager performance dashboards managed and updated continuously

Risk and compliance intelligence — credit quality, regulatory capital, and audit metric monitoring delivered as a managed service

Branch network analytics — customer acquisition, product penetration, and channel performance across the network on a managed platform

Mid-Market Enterprise

Operations intelligence — production, logistics, and supply chain KPIs delivered without a dedicated analytics function or team

Finance analytics — budget vs actuals, cash flow, and cost analytics for CFOs who need insight without infrastructure investment

Sales performance analytics — pipeline, win rates, and account health tracking on a managed platform with no internal BI team required

HR and workforce analytics — headcount, attrition, and productivity KPIs delivered and maintained by ImpactBI on a subscription basis

Five layers. Every one engineered for reliability, drift resilience, and operational integration.

Layer

What Gets Built Here

Data Layer

Live data ingestion from ERP, CRM, EHR, IoT, and transactional systems. Automated preprocessing, cleaning, and validation pipelines — the foundation every model depends on.

Feature Engineering

Domain-specific feature extraction, transformation, and selection. Feature stores that serve both training and real-time inference — consistent, versioned, and reusable across models.

Model Layer

Algorithm selection (classical ML, ensemble methods, deep learning), hyperparameter optimization, cross-validation, and bias testing. Models evaluated against real business KPIs, not just accuracy scores.

Inference & Decision Layer

Real-time and batch inference endpoints integrated into operational systems. Decision logic that maps model outputs to automated actions — route, escalate, approve, flag, or trigger a workflow.

Monitoring & Retraining

Continuous performance tracking, data drift detection, concept drift alerting, and automated retraining pipelines. Models that stay accurate as your data evolves — without manual intervention.

1–2

Weeks to first certified dashboard after onboarding

60–70%

Cost reduction vs building an equivalent in-house team

50%

Reduction in analyst workload via automated insights and alerting

30 days

To first predictive model in production

ImpactBI is the fastest path to analytics capability. When your organisation is ready to own the platform, our engineering teams build it.

Decision Intelligence & BI

Build your own in-house BI and analytics capability when you are ready to own the platform.

Advanced Analytics & Predictive Modeling

Bespoke predictive modeling and analytics engineering for complex, custom requirements.

Data Engineering & Pipelines

Full-ownership data platform engineering for organisations building internally

ImpactRCM.AI

CaliberFocus’s AI-powered RCM platform — analytics and agents combined for healthcare

Tell us what decisions you need better data on — we will show you exactly what ImpactBI delivers for your business.

Industries we serve

We collaborate with global technology leaders to deliver secure and scalable growth-driven digital solutions. Our partnerships strengthen our ability to innovate, accelerate transformation, and drive measurable business impact for our clients.

Case Studies

We used generative AI to automate documentation, compliance checks, and medical coding. The solution improves accuracy, cuts manual effort, speeds turnaround, and ensures regulatory compliance in clinical use.

0 +

200 +

When patient data was summarized clearly, documentation felt less burdensome. With CaliberFocus, clinician satisfaction rose from 58% to 81% without changing how teams work.

Dr. Rebecca HallCMIO, Healthcare

Better documentation and fewer audit issues delivered real savings. With CaliberFocus, billing compliance improved to 98.6%, reducing risk while easing the burden on clinicians.

Sophia WilliamsCTO, Clinical care

We gained clear visibility into student performance. Engagement rose, scores improved, and administrative effort dropped by nearly 30 percent, giving educators time to teach.

Andrew MillerDirector, Education Technology

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Analytics aS a Services · IMPACTBI

Enterprise Analytics. Without Building the Team.

Why building an analytics function is harder than it looks?

Talent cost

Time to value

Capability gaps

Build vs buy

Why leading organisations choose AaaS over building?

Building In-House:

With ImpactBI:

What IMPACTBI delivers?

Three pillars of the ImpactBI service

Managed BI & Dashboards

Predictive Models & AI-Powered Insights

Data Pipeline & Platform Management

Service tiers

Choose the level that fits your organisation

ImpactBI Essentials

Up to 5 certified dashboards

Core data pipeline management (up to 3 sources)

Monthly iteration and refinement cycles

Power BI or Tableau platform management

Data quality monitoring and alerting

Monthly analytics review and roadmap session

ImpactBI Professional

Up to 15 certified dashboards across functions

Full data platform management (unlimited sources)

Bi-weekly iteration cycles and priority request queue

Predictive model development and maintenance (up to 3 models)

Automated anomaly detection and smart narratives

Dedicated analytics lead — senior engagement, not junior delivery

ImpactBI Enterprise

Unlimited dashboards and certified datasets

Full analytics engineering team — data, BI, and data science

Weekly iteration cycles with dedicated sprint planning

Advanced predictive modeling program (unlimited models)

AI-augmented insights, forecast automation, and decision support

Executive analytics advisory — strategy, roadmap, and board reporting

How it work?

From onboarding to ongoing intelligence

Where IMPACTBI works?

Analytics as a service — by industry

Healthcare & RCM

Revenue cycle intelligence — denial rates, AR days, cash collections, and coding accuracy delivered in a managed RCM analytics environment

Clinical quality dashboards — MIPS, HEDIS, Stars, and quality programme metrics managed and delivered without internal data science resources

Operational analytics — ED throughput, OR utilisation, bed management, and staffing KPIs in a fully managed hospital operations environment

Payer analytics — claims performance, contract compliance, and underpayment identification delivered as an ongoing managed service

Financial Services

Executive financial reporting — P&L, balance sheet, and capital metrics delivered to the board without building an internal analytics team

Sales and CRM analytics — pipeline, conversion, and relationship manager performance dashboards managed and updated continuously

Risk and compliance intelligence — credit quality, regulatory capital, and audit metric monitoring delivered as a managed service

Branch network analytics — customer acquisition, product penetration, and channel performance across the network on a managed platform

Mid-Market Enterprise

Operations intelligence — production, logistics, and supply chain KPIs delivered without a dedicated analytics function or team

Finance analytics — budget vs actuals, cash flow, and cost analytics for CFOs who need insight without infrastructure investment

Sales performance analytics — pipeline, win rates, and account health tracking on a managed platform with no internal BI team required

HR and workforce analytics — headcount, attrition, and productivity KPIs delivered and maintained by ImpactBI on a subscription basis

How we build it?

Production ML Architecture

Layer

What Gets Built Here

Data Layer

Feature Engineering

Model Layer

Inference & Decision Layer

Monitoring & Retraining

What you can expect?

The ImpactBI difference — in numbers

1–2

60–70%

50%

30 days

Why IMPACTBI?

What makes ImpactBI different from every other aaaS provider

Senior Team on Every Engagement

Full Stack, Not Just Dashboards

Domain Depth That Changes Output

Designed to Scale With You

Related services

When you are ready to build — we are ready to build with you?

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