Oracle AI World
Services · Analytics
We deliver on Oracle, Microsoft and open-source tools, so our recommendation is never a sales pitch. Three offerings, and you can start at any of them.
Oracle FDI, ADW, ODI, OCI DI · Microsoft Fabric, OneLake, Power BI, ADF · Tableau, Iceberg, Spark, Airflow, dbt, Kafka, MinIO, Superset
01 · The right data tools
Decisions first: what decisions you make, how often, who acts on them — then the tools that serve that, not the other way round.
Oracle FDI · Microsoft Fabric · open source (Iceberg, Spark, Airflow, dbt, Kafka) — or a deliberate mix.
Decisions first: what you decide, how often, who acts on it.
Workshops to help you assess your Decision flows and KPI's driving them
02 · Pipelines · models · dashboards
Working dashboards early, built on Semantic models with one shared layer of KPI definitions — one definition per number, so every report agrees.
A design workshop first, then short delivery cycles — working dashboards early.
One shared layer of definitions, so the numbers agree — one definition per number.
Training your team to self-serve, data quality checks, a data trail an auditor accepts.
03 · Fresh and fast, guaranteed
Analytics platforms fail slowly — a data feed that misses a day, a number that quietly stops matching finance. Operate exists to prevent that slow decline.
Freshness and completeness monitored — you hear about a failure Not before the morning meeting.
Performance tuning so the executive view opens in seconds.
Cost and capacity owned, and adoption measured: an unused dashboard is a defect.
Why the numbers agree
ERP · SCM · HCM · operational systems · spreadsheets
One KPI definition per number · a data trail auditors accept
Opens in seconds, matches always
Your Business, Analysts and AI read the same definitions
The test we hold ourselves to: a dashboard an executive opens every morning is a different engineering problem from one that gets demonstrated once.
Expertise
Oracle, Microsoft and the open-source stack all build good data platforms. They suit different needs, different system landscapes and very different budgets. We have real delivery experience in all, which is what lets us recommend without steering you.
FDI · OAC · Autonomous Data Warehouse · OCI · ODIStrongest when your day-to-day data already lives in Fusion and you want a short path to value.
Fabric · OneLake · Power BI · Azure Data FactoryStrongest when the enterprise already runs on Microsoft and Power BI is the standard.
Python · Iceberg · Spark · Airflow · dbt · Kafka · MinIO · SupersetStrongest when licence cost is the pressure or you want the freedom to move later.
Standard database connectors (ODBC and JDBC) that let Power BI, Tableau, Python or any data tool read your Fusion system live — no data lake, no waiting for a refresh. Pre-built dashboards from day one, one price with unlimited users — the fastest way to prove value on your installation, and where most of our analytics customers start.
How to engage
Discover and Build as fixed-fee work — a tool decision, a data platform build, a reporting rollout with working dashboards early. Best for a change with a clear finish line.
Operate with service guarantees — data freshness monitored, the 7am executive view fast, cost and usage owned. Best for a platform your mornings depend on.
A named data team reserved just for you, working as an extension of yours. Best for a continuous analytics roadmap.
Short senior engagements : Discovery for your - tool selection, cost analysis, platform reviews. Best for deciding before committing.
Talk to the practice
Start with Discover, bring us a stalled platform, or begin with FusionLink on your Fusion instance — the work meets you where it is.
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Analytics Practice Lead
Shared business definitions and well-governed reporting across Oracle, Microsoft and open source. Ask about metric definitions, FusionLink, or a reporting backlog.