Practical guides, comparisons and lessons learned to get the most out of SAC Analytics and SAC Planning.
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.
SAC delivers planning and BI inside the SAP stack (with SAP Group Reporting for consolidation); OneStream unifies close, consolidation, planning and reporting in one platform. The real trade-offs.
Where the Solvency II SCR is actually calculated vs where SAP Analytics Cloud helps — structuring, monitoring and reporting the SCR and solvency ratio — plus a free SAC model template.
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 scheduled for 15–16 August 2026. Here is what's announced so far on the SAP Roadmap Explorer and What's New Viewer, with the note that pre-release scope can still change.
Preview of the upcoming SAP Analytics Cloud QRC4 2026 release, scheduled for 14–15 November 2026 — the final quarterly release of the year. What to watch on the SAP Roadmap Explorer, with pre-release scope subject to change.
SAP Analytics Cloud or Tableau? An honest comparison for analytics and planning teams: Tableau's visualization flexibility and data-agnostic reach vs SAC's SAP-native integration and built-in planning — and when each one wins.
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 currencies — 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.
A practical comparison of SAP Analytics Cloud Planning and Anaplan: modeling approach, calculation engine, SAP integration, unified analytics and reporting, and total cost.
A practical comparison of SAP Analytics Cloud and Power BI for financial and regulatory reporting: planning and data entry, versioning, governance, SAP integration and cost.
How to model Solvency II reporting in SAP Analytics Cloud: dimensions by risk module, SCR/MCR/own-funds measures, and the correct coverage-ratio calculation (without summing it by mistake).
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.
SAC Analytics or SAC Planning? A detailed comparison of the two SAP Analytics Cloud modules: reporting, data entry, versions, workflows, and the simple rule to pick the right model from the start.
The default SUM aggregation distorts your rates and stocks. This guide explains when to use AVERAGE, LAST or COUNT in SAP Analytics Cloud, and how to set the aggregation exception on the time dimension.
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.
Understanding versions in SAP Analytics Cloud Planning: the difference between public and private versions, the Actual/Budget/Forecast categories, and best practices to compare and copy scenarios.
Build an annual budget and a 12-month rolling forecast in SAP Analytics Cloud Planning: the Version dimension, Data Actions for seeding and spreading, and variance reporting.
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.