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SAP Analytics Cloud

We implement SAP Analytics Cloud on a governed data model with measures defined once and owned, so planning and reporting draw on one agreed version of the numbers. We design the connections, live or imported, to suit the volume and latency each use case actually needs rather than defaulting to one approach. Planning models are built with version control, allocation and workflow so planning is disciplined rather than a shared spreadsheet by another name, and we configure row-level security and tune performance on real volumes. The outcome we aim for is analytics people trust enough to decide on, because the definitions are explicit and the dashboards stay fast.

In short

SAP Analytics Cloud delivers planning, reporting and analytics on SAP and non-SAP data. Its usefulness depends less on the tool than on the data model and measure definitions behind it, which decide whether the numbers agree.

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What we do

The work inside sap analytics cloud.

Data model and connectivity

We design the data models and choose live or imported connections according to each use case's volume and latency needs. Matching the connection to the requirement avoids both unnecessary data duplication and the sluggish dashboards that come from forcing one connection style onto every report.

Measure definitions and governance

We define each measure once, with a written definition and a named owner, so the same metric means the same thing wherever it appears. This is what stops two reports built on the same data from quietly disagreeing and undermining trust in all of them.

Planning models

We build planning models with version control, allocation logic and workflow, so planning is a governed process rather than a loose set of inputs. Structured versions and approvals make each plan traceable and comparable, which is the difference between a planning system and a shared spreadsheet.

Security and performance

We configure row-level security so people see only the data they should, and we tune performance against real volumes so dashboards stay quick. Both matter for adoption: analytics that are slow or that leak the wrong figures to the wrong audience are quickly abandoned.

What you receive

Deliverables, in writing.

Documented output your teams keep and can act on without us in the room.

  • Data model and connectivity design
  • Governed measure definitions
  • Planning models with workflow
  • Security configuration and performance test results

When this work helps

You may be facing this.

  • Planning is done in spreadsheets outside SAP
  • Reports built on the same data disagree
  • Dashboards are slow enough that people stop using them

How an engagement runs

Discover, assess, design, deliver.

  1. 01

    Discover

    Understand the business drivers, decision rights, existing systems, and what the programme is genuinely expected to change. We separate the outcomes that justify the investment from the features that merely sound desirable, so the programme has a clear purpose to steer by.

  2. 02

    Assess

    Review process, data, integration, controls, governance, and change readiness against the plan. We report where the plan is sound and where it rests on assumptions that will not survive contact with delivery.

  3. 03

    Design

    Set out the target processes, control requirements, data approach, integration model, and adoption plan. Each is documented well enough for a system integrator to build to and for you to hold them to it.

  4. 04

    Deliver

    Support the programme through configuration, testing, cutover, and stabilisation with independent oversight. We keep the line on scope, data readiness, and controls while the integrator delivers, and flag drift while it is still correctable.

Where we work

Delhi, India — and wherever the work is.

Fidova provides SAP consulting from Delhi, India, and supports multi-country programmes internationally, including entities with different statutory, tax, and reporting requirements across regions.

Engagements run in English, are scheduled around your time zone, and can be delivered remotely end to end, with on-site time planned where a phase genuinely benefits from being in the room.

Questions

SAP Analytics Cloud: common questions.

Straight answers to what buyers ask us before an engagement begins.

Enquiries

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Next step

Discuss your sap analytics cloud requirement.

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