BOOST INTELLIGENCE

Your analytics on steroides with DataSphere and SAP Analytics Cloud : One Cloud, Trusted Data and Smarter Decisions.

SAP Business Data Cloud brings all your data together—securely and seamlessly. Say goodbye to data silos and welcome reliable insights that power confident business decisions and bold innovation.

Process massive data volumes instantly in conjunction with state -of-the art analysis and exploration features. Get real-time access to operational data from your SAP S/4 HANA systems.

Streamline the planning process from IT-centric applications to business driven agile and comprehensive planning tools.

Facilitate planning cycles, easily define and monitor budgeting and planning processes. Streamline and speed-up the execution of complex budget cycles with SAP Analytics Cloud and tighten the integration of your S/4 HANA systems.

A planning process – sales, purchasing, workforce planning or budget/financial oriented – can be a complex and very cost-inefficient topic. We have helped many customers in various industry sectors to improve their planning exercises by an assessment, design of a streamlined planning process and the roll-out of more efficient, user-friendly and business-driven planning environment.

The planning process can be strategical or tactical, include rolling forecasts, require hierarchical or country/department-based data collection and approval, including AI technology to improve your insights.

Turn data into clear, actionable insights.

Facilitate meaningful performance discussions around the key drivers of your business and support faster, more confident decision-making.

With SAP Analytics Cloud (SAC), dashboards can go beyond simply displaying KPIs. They can combine historical performance, current results, trends, forecasts, and what-if scenarios in an intuitive and interactive experience—helping users understand not only what happened, but why and what could happen next.

Effective SAC dashboards should make information easy to understand at a glance while allowing users to explore the details when needed. A clear visual hierarchy, consistent KPI definitions, focused use of charts, and intuitive navigation help keep attention on the insights that matter most. Features such as filters, drill-downs, variance analysis, dynamic calculations, and linked analysis enable users to move naturally from a high-level overview to the underlying business drivers.

Facilitate performance dialogue on key business drivers.

SAP Analytics Cloud can bring together SAP and non-SAP data to provide a consistent view of business performance. By combining actuals, historical trends, plans, forecasts, and operational drivers, SAC creates a common foundation for performance discussions and management reporting.

Well-designed dashboards can provide:

• At-a-glance performance: Focus on a limited number of meaningful KPIs, supported by clear targets, variances, and trends.
• From overview to detail: Start with an executive view and enable users to drill down into business units, products, customers, accounts, or other relevant dimensions.
• Context, not just numbers: Combine actuals with budget, forecast, prior periods, and business drivers so users can immediately understand performance and deviations.
• Interactive exploration: Use filters, linked analysis, drill-downs, and dynamic visualizations to let users investigate questions without creating a new report.
• Scenario and what-if analysis: Allow decision-makers to test assumptions and understand the potential impact of different business scenarios.
• Consistent design and definitions: Apply common layouts, terminology, KPI definitions, and visualization standards to create a familiar experience across dashboards.

The objective is to create more than an attractive reporting interface. It is to provide a trusted and intuitive decision-support environment that turns data into meaningful business conversations.

With a single, governed view of performance, management can spend less time discussing the numbers themselves and more time discussing what they mean and what actions to take next.

Joule : Get analytical insights with natural language.

Joule makes analytics more accessible by allowing business users to ask questions about their data in everyday language and receive insights directly within their SAP applications. The value of Joule for analytics is not simply that users can “chat with data.” It is about reducing the distance between a business question and the information needed to make a decision.

Instead of opening a dashboard, navigating through reports, or manually building an analysis, users can simply ask a business question such as:

“Who were the top three sales managers last month?”

“Show me sales by month.”

“How does actual performance compare with forecast?”

Joule’s Analytical Insights capability interprets the question and uses SAP Analytics Cloud to provide an answer in the form of relevant metrics and simple visualizations. This gives users an intuitive way to move from a business question to an insight and supports faster, data-informed decision-making.

Enable business users to access, explore, analyze, prepare, and visualize data independently, with limited reliance on IT or technical specialists.

Self-service analytics changes how people work with data. Instead of relying on IT or specialist teams for every report or question, business users can explore trusted data, create their own analyses, and turn information into insights when they need them.

The result is faster decision-making, fewer repetitive requests to IT, and greater ownership of data across the business. But successful self-service is about more than giving users new tools. It requires the right balance of accessible technology, trusted data, clear governance, appropriate access rights, and user enablement.

Within the SAP ecosystem, solutions such as SAP Analytics Cloud and SAP Datasphere support this approach by giving users access to governed business data while maintaining the business context and semantics of the underlying SAP processes. SAP Analytics Cloud, for example, connects natively with SAP Datasphere and SAP S/4HANA to provide self-service analytics across the data landscape.

Users can work with intuitive analytical experiences to explore data, build visualizations and stories, investigate trends, and answer ad-hoc business questions. SAP Analytics Cloud’s Data Analyzer, for example, provides a ready-to-use environment for ad-hoc analysis of SAP Analytics Cloud models, SAP Datasphere models, SAP HANA views, and SAP BW queries, with the option to save analyses as insights.

Finding the right balance between freedom and control.

Self-service does not mean giving everyone unrestricted access to everything : different users have different analytical needs and levels of expertise. Some may simply consume dashboards, while others need to explore data, create stories, perform ad-hoc analysis, or build new analytical content.

SAP Analytics Cloud makes it possible to establish different levels of self-service according to the organization’s business needs, data maturity, security requirements, and risk appetite.