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DATA ANALYTICS
Data your teams can act on with confidence.
Good decisions start with data everyone trusts
Most organisations we meet have already invested in analytics. The licences are bought, the dashboards are built, and the reports go out on schedule. Yet teams still find themselves checking figures in a spreadsheet before an important meeting.
It's a familiar situation, and it's rarely a reflection of the tools or the people using them. More often, the reporting layer was built before the data underneath it was ready.
That's a solvable problem, and it's the one we're usually brought in to solve.
What we see most often
These are the three challenges that come up in nearly every analytics conversation we have.
One metric, several definitions
Sales, finance, and operations each calculate revenue in a slightly different way. Everyone is right by their own logic, and meetings start with reconciliation rather than decisions.
Data that arrives a day late
Overnight extracts mean today's conversation runs on yesterday's position. The reporting is accurate, but the timing limits what can be done with it.
Logic rebuilt in every report
The same joins and calculations are recreated in each new workbook. When a definition changes, it has to be found and fixed in dozens of places.
How things look once the foundation is right
Definitions agreed once, applied everywhere
Revenue is calculated in a single place and every report inherits it. Teams spend meetings deciding, not reconciling.
Current data, at the moment it's needed
Reporting reflects what's in SAP now, so the figure in the room is the figure in the system.
Build once, reuse across every tool
A governed model that SAC, Tableau, and Power BI all read from — so improvements benefit everyone at once.
Four platforms, one foundation
SAP Datasphere — the foundation
Datasphere brings SAP and non-SAP data together into one governed model while preserving SAP's business meaning, giving every downstream tool a consistent source to work from. Many of our engagements begin here, whichever reporting platform you go on to use.
SAP Analytics Cloud — reporting and planning in one place
SAC is the one platform here that handles both. Actuals and plan sit in a single model, with version control, workflow, and a clear audit trail across the planning cycle. For finance teams running budgets and forecasts through spreadsheets today, it's often the fastest improvement available.
Power BI — when Microsoft is your standard
Your organisation already owns it and your analysts already know it, which makes it a natural choice. The work is in connecting it to SAP properly — reliable refreshes, sensible performance, and security that follows the user. We establish that connection pattern once, document it, and help you govern it.
Tableau — when visual depth matters most
Tableau remains excellent for exploratory analysis and richly designed visual work. The same principle applies: with a governed SAP data layer beneath it, your analysts explore certified data rather than rebuilding logic each time.
The right platform is the one that fits your business.
If you already own Power BI, we'll build on Power BI. Our recommendation depends on your landscape, your team's existing skills, and the decisions you need to support — never on what we'd prefer to implement.
How we help
Analytics assessment
We start by understanding what you already have — which reports exist, who relies on them, and where the effort is going. It's usually the quickest way to find early wins.
Data architecture and modelling
Datasphere spaces, semantic models, and business definitions agreed with your teams before dashboard work begins.
Dashboard design and build
Reports built around the decisions they support, so the people using them find what they need without hunting for it.
Planning models
SAC planning for budgeting, forecasting, and rolling reforecast, with the structure and version control that spreadsheets can't offer.
Integration and performance
SAP to Power BI, SAP to Tableau, refresh scheduling, row-level security, and performance tuning where queries are slowing people down.
Governance and enablement
Clear ownership, certified reports, and a refresh rhythm — plus training, so your team grows confident answering its own questions.
Why organisations choose VIPAS Technologies
We understand where the data comes from
Our consultants work in S/4HANA, SuccessFactors, and the SAP transaction layer every day. We know what a figure means before it reaches a chart.
We stay platform-neutral
Four platforms and no preference between them. What suits your landscape and your people is what we'll recommend.
We stay with you after go-live
Analytics needs ongoing care — definitions evolve, sources change, people move on. Our support teams keep models accurate and useful over time.
Let's talk about your data
Tell us a little about the reporting you have today and where it's falling short. We'll come back with a clear view of what's possible — no obligation, and no sales pressure.