Practical guides, comparisons and lessons learned to get the most out of SAC Analytics and SAC Planning.
The full recap of SAP Analytics Cloud QRC4 2026 (platform 2026.21), released 14 November 2026: all 55 new features across stories, planning, data actions, AI, Databricks and SharePoint connectivity, explained one by one.
AI tools can build a dashboard in seconds, but they can't decide whether revenue is gross or net, which rate converts it or whose fiscal calendar applies. Here is where each of those decisions lives in an SAP Analytics Cloud model — with a metric definition checklist.
Where data security is enforced in SAP Analytics Cloud, S/4HANA live connections and SAP Datasphere — plus a free Excel matrix to map personas, roles, licenses, data access controls and access tests.
A sourced look at Joule in SAP Analytics Cloud: the four capability types SAP documents, how analytical insights run on Just Ask, what you need to enable it, and why your model decides the quality of every AI answer.
How to design SAP Analytics Cloud reports and templates for a utility: the model structure, the KPIs (consumption, SAIDI, grid losses, energy mix, collection rate) and the dashboards that survive a regulator's questions.
How to design SAP Analytics Cloud reports for a bank: the model behind CET1, LCR and NSFR, the commercial and credit-risk views, and the report structure that survives a supervisor's review.
How to design SAP Analytics Cloud reports for an insurer: the model behind the solvency ratio (SCR/MCR), the technical-steering view (combined ratio, loss ratio) and where IFRS 17 fits — with the templates that encode them.
The FDE model is spreading across enterprise software — SAP is hiring for it. Here's what a Forward Deployed Engineer actually is, and what it looks like applied to SAC delivery.
A tested, end-to-end walkthrough for importing a model into SAP Analytics Cloud and building an Actual/Budget/Forecast Story — including the three points where a first-time import quietly goes wrong.
An AI-generated SAC model looks finished and runs without errors — that's exactly the problem. A real case: a solvency ratio silently capped at the wrong ceiling, and the layer a prompt can't supply.
A practical decision guide for companies implementing SAP Analytics Cloud: when you can build it in-house with ready-made accelerators, when a consultant is worth it, how to scope the work and how to cut the setup time either way.
How SAP consultants use ready-to-import SAC model accelerators to skip the boilerplate - dimensions, aggregations, Actual/Budget/Forecast versions and sample data - and reuse them across every client engagement.
A practical checklist for SAP Analytics Cloud QRC4 2026: what to preview in a non-production tenant before 14-15 November, and what to verify area by area after your production update.
How to build a repeatable regression test plan for SAP Analytics Cloud quarterly releases, using QRC4 2026 as the worked example: the upgrade model, high-risk areas, and a sign-off process.
QRC stands for Quarterly Release Cycle. SAP Analytics Cloud ships four major releases a year — QRC1 (February), QRC2 (May), QRC3 (August) and QRC4 (November). Here's what each means and how the cadence works.
SAP Analytics Cloud vs Power BI: how they differ on planning, SAP integration, cost, governance and ecosystem — plus the best choice by role, and when to run both.
A fair comparison of SAP Analytics Cloud (SAC) and SAP BPC for planning and consolidation: where each wins, the BPC-to-SAC migration path, and whether SAC can replace BPC. SAC is cloud-first and unified; BPC leads on mature on-prem consolidation.
SAP Analytics Cloud vs Anaplan for enterprise planning: Anaplan leads on flexible modeling; SAC wins for SAP-centric teams wanting planning, BI and predictive in one.
A fair comparison of SAP Analytics Cloud and Tableau: Tableau leads on data visualization, exploration and connector breadth; SAC wins for SAP-centric teams that want BI, planning and predictive in one. Where each fits, and how to choose.
The Funnel chart is one of three native chart types added in SAP Analytics Cloud QRC3 2026 (with Sankey and Gauge). What it does, when it beats a bar chart, and a free conversion-funnel template to try it on.
The Gauge chart is one of three native chart types added in SAP Analytics Cloud QRC3 2026 (with Sankey and Funnel). What it is, when a gauge beats a KPI number, and a free template to try it on.
The Sankey chart is one of three native chart types added in SAP Analytics Cloud QRC3 2026 (with Funnel and Gauge). What it shows, when a Sankey beats a bar chart, and a free template to try it on.
The new SAC pattern where actuals stay live in the source (Datasphere, Snowflake, BigQuery) and a data action copies them into a plan version to drive a rolling forecast — no replication, no write-back.
SAC Planning is integrated planning inside the SAP stack; Pigment is a modern, system-agnostic FP&A platform. Here is how they differ and when to pick each.
SAP Analytics Cloud vs OneStream: SAC gives planning + BI in the SAP stack (consolidation via Group Reporting); OneStream unifies close, consolidation and planning.
What My Metrics is in SAP Analytics Cloud, how to enable it on the home screen, create metric cards from your stories, organize and share them, and get scheduled email updates.
The SAP Analytics Cloud 2027 release calendar: the confirmed quarterly cadence (Feb, May, Aug, Nov), the expected QRC1–QRC4 2027 windows, and how the cycle works — with the official SAP source.
Live connection or import (acquired) model in SAP Analytics Cloud? The real trade-offs — real-time vs planning, governance vs blending — and a clear rule for choosing.
How to set up a live connection from SAP Analytics Cloud to S/4HANA — Direct (CORS), Tunnel (Cloud Connector) and Cloud (OAuth) — the InA prerequisite, and the login-popup trap that catches everyone.
The honest limitations of SAP Analytics Cloud live connections — planning, blending, story features, performance and cross-site cookies — so you choose live vs import with eyes open.
SAC Planning is native, governed enterprise planning; Fiplana is a write-back add-on that brings planning into Qlik. Here is how they differ and when to pick each.
SAC Planning is native enterprise planning inside SAP; PowerOn adds write-back planning on top of Power BI. The real trade-offs and when to choose each.
The full SAP Analytics Cloud 2026 release calendar (QRC1–QRC4) with dates and headline features per quarter: story versioning, asymmetric reporting, new charts, planning and API updates.
SAP Analytics Cloud QRC3 2026 is live (15–16 August). The updates that actually matter for Planning and Story teams — AI prompt insights, Compass simulation, three new charts and smarter Data Action filtering — and exactly what to test before production.
SAP Analytics Cloud or Qlik Sense? A balanced comparison: Qlik's associative engine and hybrid on-prem/cloud deployment vs SAC's SAP-native live integration and built-in planning — with a clear rule for choosing.
SAP Analytics Cloud or Looker? A clear comparison: Looker's LookML semantic modeling and in-database, cloud-warehouse architecture vs SAC's SAP-native live integration and enterprise planning — and how to choose.
A practical guide to building ESG reporting in SAP Analytics Cloud: the model structure, dimensions, data collection, and dashboards that turn scattered sustainability data into audit-ready disclosures.
Concrete CSRD dashboard examples for ESRS reporting after the Omnibus reforms: a datapoint tracker, a double-materiality map, an emissions cockpit and a target-progress view — plus what changed for in-scope companies in 2026.
The carbon accounting KPIs every emissions dashboard should track: absolute Scope 1/2/3, location- vs market-based Scope 2, carbon intensity, Scope 3 category coverage, reduction vs target, and renewable energy share — with how each is calculated.
A practical catalog of the ESG metrics that matter across environmental, social and governance pillars — what to measure, why it matters, and how it maps to frameworks like ESRS, ISSB, GRI and SASB.
Build an HR workforce plan in SAP Analytics Cloud: headcount and FTE, attrition, the hiring plan and payroll forecast — with the right dimensions, versions and aggregations.
Why stock, cash and headcount totals come out wrong in SAP Analytics Cloud, and how the time-dimension aggregation exception (LAST) fixes them — step by step in the Modeler.
How to structure IFRS 9 expected credit loss (ECL) reporting in SAP Analytics Cloud: the three stages, PD/LGD/EAD, the ECL calculation and the right dimensions and aggregations.
How SAP Analytics Cloud helps meet BCBS 239: the principles that touch reporting, data lineage and aggregation, accuracy and timeliness, and structuring risk reporting for supervisors.
How to structure IFRS 17 insurance reporting in SAP Analytics Cloud: GMM, PAA and VFA measurement models, the CSM roll-forward, risk adjustment, and the right dimensions and aggregations.
How to structure Basel Pillar 3 disclosures in SAP Analytics Cloud: the standardized templates, capital and RWA breakdowns, the right dimensions, and keeping disclosures consistent.
How to structure CSRD double materiality and ESRS datapoints in SAP Analytics Cloud: impact vs financial materiality, the datapoint dimension, and tracking disclosure coverage.
How SAC Planning Data Actions work: copy a version, allocate a top-down total, spread across periods and convert currency — with setup steps and common pitfalls.
Build a retail store-performance model in SAP Analytics Cloud: revenue, average basket, footfall, conversion and like-for-like — with the right dimensions and aggregations.
SCR software for Solvency II? SAP Analytics Cloud doesn't compute the SCR — it's the reporting layer above it. What SAC does, and a ready accelerator.
Step-by-step guide to importing a CSV file into SAC Modeler: file preparation, mapping dimensions and measures, column typing and building your first Story.
Guide to structuring Basel III bank regulatory reporting in SAP Analytics Cloud: RWA, CET1 ratio, LCR and NSFR, with the right aggregations so ratios stay correct at every level.
SAP Analytics Cloud has two model types — Analytics and Planning. How they differ on versions, data entry and write-back, and how to pick the right one.
SUM is the default in SAP Analytics Cloud — and it silently distorts rates and stock balances. When to switch to AVERAGE, LAST or COUNT, and how to set the aggregation exception on the time dimension so your KPIs stay correct.
Build a stock and supply-chain model in SAP Analytics Cloud: inventory levels, days of cover, stockouts, service level and turnover — with the right aggregations for balances.
How the Version dimension works in SAP Analytics Cloud Planning: the difference between Actual, Budget and Forecast, public vs private versions, and how to compare and copy scenarios without breaking your numbers.
A step-by-step setup for an annual budget and a 12-month rolling forecast in SAP Analytics Cloud Planning: the Version dimension, Data Actions for seeding and spreading, and the variance reporting that ties it together.
How to build GHG Protocol-compliant carbon-emissions reporting in SAP Analytics Cloud: dimensions by scope and emission source, emission factors, and conversion to tCO2e.
Excel is still the most common source for SAC. This guide explains how to prepare a multi-sheet workbook, choose the right sheet to import, handle headers and avoid typing pitfalls on import.
Full breakdown of the SAP Analytics Cloud QRC2 2026 release (mid-May): native asymmetric tables via visibility filters, composite versioning, the decoupled Data Panel, drag-and-drop charts, the onBeforeDataEntryProcess() planning event, and new Data Export/Import APIs.
Full breakdown of the SAP Analytics Cloud QRC1 2026 release (mid-February): story versioning up to 10 versions, Pareto and Area charts, comment management, scheduled My Metrics, live Snowflake for planning, and the Fact Deletion step.
No articles match your search — try a broader term.