Oracle Analytics Cloud implementation and AI

A dashboard is only valuable if people trust the numbers and open it every week, so we build for that.

Data modelling

We design the logical and physical data models and semantic layers that make ad-hoc, self-service reporting easy for business users. A good semantic layer means a manager can build a report using business terms such as customer, product and region, without understanding the tables behind them.

Visualisation and dashboards

We build dashboards and visualisations that support data-driven decisions. Each one starts with the decision it should support, who makes it and how often, and we remove anything that does not help. We test dashboards with the people who will use them, because what looks clear to a builder is not always clear to a manager.

Data preparation and integration

We bring together on-premises and cloud data sources for one view of business performance. Data rarely arrives clean, so we agree rules for combining, correcting and refreshing it, and we make the refresh dependable.

Advanced and AI-powered analytics

We use predictive analytics and Oracle Analytics Cloud's AI-powered features to uncover patterns and trends. We help you decide which questions are worth asking of the data, and which will only produce interesting but unusable answers.

Self-service adoption

We guide teams to self-service analytics and real-time insight. That means training that uses your own data, a small set of certified datasets people can trust and a way for good reports to be shared.

Managed services

We provide support and enhancements after go-live: refreshing data, fixing issues, adding datasets and keeping up with Oracle's updates. We also review which reports are used, and retire those that are not.

Analytics for your Fusion data

If your main data sits in Oracle Fusion ERP, SCM, HCM and CX, Oracle Fusion Data Intelligence gives you ready-to-use analytics and AI on that data, and we implement it too. Oracle Analytics Cloud is the right choice where you also need to bring in data from other systems. We help you choose, and plan how the two fit together.

Governance and trust

Analytics fails when people argue about whose number is right. We agree definitions for the measures that matter, record where each number comes from and control who can change them, so that a figure on a dashboard means the same thing everywhere.

Performance and refresh

Dashboards that take a minute to load do not get used. We tune queries and models, agree refresh schedules that match how fresh the data needs to be, and monitor the load, so that problems reach your support queue before they reach a meeting.

Security and sharing

We set up access by role and by data, so that people see their own region or business unit and nothing more, and we make it easy to share reports with colleagues without making copies.

Migrating older reports

Many organisations arrive with years of reports built on older tools. We review what is still used, rebuild the valuable ones on a trusted data model and retire the rest.

How we work

We begin with the decisions your leaders and managers make and the questions they cannot answer today. We then design the data and the dashboards around them, build in small steps, review with users and train them on their own data.

What you get

A tested data model, prepared and refreshed data, dashboards your teams use, defined and documented measures, trained users and a plan for support and growth.