Comprehensive Data Consulting & Insights Management Solutions provided by INT.
Assess current data capabilities across systems, processes and governance, including readiness for predictive and advanced analytics.
Develop a phased, business-aligned roadmap linking reporting, predictive insights and decision-making outcomes.
Design scalable data foundations that support real-time reporting, forecasting and advanced analytical workloads.
Design robust, scalable data models and pipelines that support both reporting and predictive analytics use cases.
Transform legacy systems into modern data platforms capable of handling real-time processing and advanced analytical workloads.
Establish strong governance frameworks ensuring high-quality, secure and reliable data for accurate insights and model outputs.
Evaluate existing dashboards for relevance, accuracy and usability, while identifying opportunities to embed predictive insights.
Define and align business-critical KPIs that not only track performance but also enable forecasting and forward-looking analysis.
Build intuitive dashboards enhanced with trend analysis, forecasts and early warning indicators for proactive decision-making.
Structure how decisions are made by linking KPIs, predictive insights and business rules into clear decision models.
Embed alerts, recommendations and prescriptive outputs into workflows to ensure insights translate into execution.
Enable simulation of multiple business scenarios to evaluate outcomes and support faster, more confident decisions.
The failure pattern is predictable. Most analytics projects are built
for the team that manages
data. Not the team that has to make decisions with it.
Every engagement follows a five-stage framework designed around one outcome: business decisions that are faster, better-informed and trusted across the organisation.
We map your current data landscape, identify your highest-value decision points, and define the KPIs that matter to your leadership team. This is not a generic assessment. It is a business-specific gap analysis.
We build the analytics architecture around your decisions, not around your data structure. Every dashboard is mapped to a specific action, a specific owner, and a specific business outcome before a single line of code is written.
We implement using pre-built frameworks developed across 200+ engagements, across BFSI, Pharma, FMCG, Retail, and Public Sector. Your team benefits from 2,700+ pre-mapped KPIs that are adapted and deployed for your business context.
Deployment is not the end of the engagement. We run structured onboarding for every stakeholder group, track adoption by user and by function, and iterate based on real usage data. If adoption benchmarks are not met, we rework at no additional cost.
Once the foundation is live and adopted, we work with your team to expand coverage across new functions, new data sources, and new decision layers, on a modular basis that does not require you to rebuild what already works.
Most analytics vendors consider an engagement complete when the
dashboards are delivered. We consider it complete when your
business teams are using them.
Adoption benchmarks are agreed with your team at the start of the engagement, covering each dashboard, function and user group.
INT Global tracks usage throughout the engagement at the dashboard, user and function level.
If adoption benchmarks are not met within the agreed timeframe, we rework the affected dashboards and workflows at no additional cost.
Stakeholder onboarding and continuous refinement are included in every engagement. Not sold as an add-on.
Dashboards delivered ≠ engagement complete. We're done when your teams are using them daily.
Every engagement below delivered a live, adopted decision system. Not a
strategy document. Not dashboards that became shelfware.




Every organisation is at a different stage of analytics maturity. INT
Global has a structured
engagement model for each stage.
Sequential, priority-based delivery
Limited parallel
Limited parallel
Compare the three engagement tiers to understand capacity,
delivery model
and the capabilities delivered at each level.
| Capability | Essential Analytics | Decision Intelligence | AI Intelligence |
|---|---|---|---|
| Monthly Capacity (Hours) | 140 - 160 hours | 200 - 250 hours | 300 - 350 hours |
| Team Structure | Fractional Data Team | Fractional Data Team | Fractional Data Team |
| Delivery Model | Sequential | Limited parallel (up to 3 dashboards) | Limited parallel (up to 5 dashboards) |
| Primary Focus | Reporting & visibility | Insights & decision support | AI-driven decision intelligence |
| Data Maturity Assessment | |||
| Existing Dashboard Audit | |||
| Pre-built KPI libraries & dashboard frameworks | |||
| Centralized Data System (Data Warehouse & Lake) | |||
| Reporting Automation | |||
| Cross-functional Analytics | |||
| Scenario Analysis | |||
| Predictive & Prescriptive Analytics | |||
| AI Use Cases | |||
| Business Review Support |
A free 30-minute session with an analytics architect. You will walk away with a clear picture of where your current analytics setup is falling short, which business functions would benefit most from immediate improvement, and what a decision-ready analytics environment looks like for your specific business. No obligation to proceed.
Talk to an Analytics Expert