How SAP Analytics Cloud Works in Real Business Scenario

SAP Analytics Cloud (SAP SAC) integrates analytics, planning, forecasting and business intelligence within a single cloud environment to generate insights from raw data for businesses. When sales decline, SAC allows the company to explore performance across regions, products, and customers, identify the main drivers, refresh forecasts, and consider different scenarios before deciding on the next step.

Whether you are a recent graduate beginning your career or an analyst with years of experience who's aiming to upskill your career, learning about SAP Analytics Cloud (SAC) can help you develop practical experience in data visualization, business intelligence, planning, and predictive analytics. In this blog, we will discuss what is SAP SAC, business usage of SAP, and how does the workflow of SAP in real-life situations.

What Is SAP Analytics Cloud (SAP SAC)?

SAP Analytics Cloud (SAC) is a cloud-based analytics and planning solution from SAP that helps businesses in converting data to actionable insights and informed decisions. It connects business intelligence, data visualization, planning, forecasting and predictive analytics in one platform, delivering a connected business performance view.

SAP SAC can be used to monitor the KPIs, analyse trends, compare the actual and target KPIs, forecast and create plans based on the business requirements. It also can be integrated into SAP and non-SAP data sources, enabling organizations to leverage the right data from various sources and systems.

For example, a finance team can use SAC to compare current revenue with the budget, understand why performance has declined, and forecast how revenue may look in the coming months. A sales team can look at geographical performance, understand which products are not doing well and make a prediction for what they can expect next.

How SAP Analytics Cloud Works in Real Business Scenarios

SAP Analytics Cloud (SAC) assists businesses to understand what is going on in its operations and needs to make decisions on what to do next. For example, a manufacturing firm might end up with a loss in a quarter that is not in line with their desired profit.

The required data can come from different business systems through supported live or import connections. With a live connection, users analyze data directly from the source system, while an import connection brings data into SAC for analysis and refreshes it through the configured process. This is subjective and depends on the business needs and data architectures of the company.

Model, dimensions, measures, and KPIs can then be applied to the data to explore performance once it becomes available. An analysis could demonstrate, for example, that sales have remained constant, yet there has been a decrease in "_self" href="https://srijaninstitute.com/courses/sap/analytics-cloud-online">SAP SAC course online , or a working professional looking to transition your career as a SAP consultant, knowing SAP Analytics workflow will open good career opportunities in future.

SAP Analytics Cloud Business Workflow

1. Define the Business Requirement

Every SAC project begins with a business question, such as: why did costs go up? Sales went down? Why is a part of the country not reaching its target? This requirement represents what type of data, KPIs, and analysis the business requires.

2. Connect the Data

SAC supports data integration and it can be linked to pertinent SAP and non-SAP data sources via supported live or acquired/ import connections. The Live connections enable users to analyze data within the source system, and the import connections enable users to import data into SAC for analysis and then refresh it via the configured process.

In contrast, acquired/import connections bring data into SAC for analysis and enable the data to be refreshed periodically through a configured data refresh process, ensuring that the imported data remains up to date.

3. Model the Data

Data processing is an important step before data driven analysis. Data Modelling elements such as dimensions, measures, hierarchies, calculations, and KPIs provide structure to data and make it simpler to understand. Product, region, and customer can be dimensions, and revenue. "_self" href="https://srijaninstitute.com/courses/sap">SAP training institute will provide you confidence to apply SAC skills in the real business world.

Integration of SAP Analytics Cloud With Other SAP Solutions

In real-world business situations, SAC can combine operational, financial and analytical data for reporting, analysis, planning and forecasting. Given below are how SAP Analytics Cloud integrates with other SAP solutions.

SAP S/4HANA and SAP Analytics Cloud

SAP S4HANA supports core business processes such as finance, sales, procurement and supply chain. With relevant data in S4HANA, business teams can analyze operational and financial results in one analytical environment thanks to SAC.

SAP BW/4HANA and SAP Analytics Cloud

SAP SBW/4HANA is an enterprise data warehousing and analytics workload solution. Using data from SBW/4HANA, SAC can develop dashboards, analyze past performance, and facilitate business reporting and planning.

SAP Datasphere and SAP Analytics Cloud

SAP Datasphere offers a data integration and semantic modeling layer to connect and structure data within an enterprise. With supported Datasphere models and datasets, SAC can be used for analytics, allowing for the consistent context to work with business information from various sources.

SAP and Non-SAP Data Sources

Depending on the connection scenario, SAC can connect with a range of SAP and non-SAP data sources, such as SAP HANA, SAP BusinessObjects, SAP Business Planning and Consolidation, SQL, OData, and Google BigQuery.

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SAP Analytics Cloud Benefits

SAP Analytics Cloud enables enterprises to integrate analytics, planning and decision making in one place. It’s not just about showing what happened. It helps teams understand performance, plan for what’s ahead, compare different scenarios, and make informed decisions

Some of the advantages of SAP Analytics Cloud are:

• Improved business visibility: Monitor KPIs, trends and performance in various business areas.

• Accelerate insights: View relevant business data, creating dashboards, stories and visualizations.

• Connected planning and forecasting: To compare actual results to budgets, plans and forecasts.

• Scenario analysis: Analyse various assumptions and know what they may mean for business.

• Consistent KPI analysis: Use structured data and models for more consistent performance measurement.

• Improved collaboration: Support teams to collaborate on business information for planning and decision making.

• Forecasting and predictive capabilities: Make decisions in advance about business planning and future operations.

Which industries use SAP Analytics Cloud

Industries can use SAP Analytics Cloud (SAC) to analyze performance, predict outcomes and take data-driven decisions.

Manufacturing

SAC is available to manufacturers for analyzing production, sales, cost, inventory and consider alternative scenarios.

Other industries and functions

SAC can also be used to support finance, workforce, supply chain, sales and operations.

The Specific SAC application will vary based on the organization's data, KPIs, processes and planning requirements.

Conclusion

SAP Analytics Cloud is a single workflow for data, analytics, KPIs, planning, forecasting, and business decisions. Learners will gain knowledge of how to integrate SAC with SAP and non-SAP data sources, learn to work with data modelling, dashboards, and how to use business insights to make decisions effectively. Whether you are a graduate, a working professional, or someone looking to build a career in the SAP ecosystem, exploring Srijan Institute as a SAP Training Institute can help you develop relevant skills and open up opportunities for future career growth.

FAQs Related to How SAP Analytics Cloud Works

Q1. What type of data can SAP Analytics Cloud analyze?

A. SAP Analytics Cloud can analyze business data from supported SAP and non-SAP sources, including financial, sales, operational, and planning data.

Q2. What is the difference between live and import connections in SAP SAC?

A. A live connection enables the users to analyze data within the source system, and an import connection loads the data into SAP Analytics Cloud to be analyzed, and refreshes data according to the configured process.

Q3.Can SAP Analytics Cloud be used for business planning?

A. Yes. SAC can be used for Business planning, SAP SAC helps them evaluate what will happen in the future before making decisions about it.

Q4. What are SAC stories used for?

A. You can use the SAC stories to show the business information in a chart, a table, a visualization and a KPI, so that users are able to understand the performance and search for the key trends and variances.

Q5. Why do we need data modelling in SAP Analytics Cloud?

A. Data modelling helps organize business data in a clear and meaningful way. It makes it easier to understand information, compare results, create useful KPIs, and prepare accurate reports.