SAP Analytics Cloud

Power your analytics with SAP Analytics Cloud, the SaaS (100% cloud) analytics solution for business users to perform classic, advanced and predictive analytics without IT support and gain insightful information, discover influencers, outliers and make predictions.

DATA & ANALYTICS

SAP Analytics Cloud

At SEIDOR we have a team with extensive experience and pioneers in the implementation of the first versions of SAC. Deploy SAP Analytics Cloud on SAP and non-SAP data sources.

Eduardo Gual

ERCROS Systems Director

ERCROS, a pioneer in the deployment of SAP analytics solutions, has deployed over the last two years hundreds of business indicators and detailed reporting for the commercial, logistics, transport and purchasing areas with SAP Analytics Cloud.

Users who know the business context need to be able to perform their analysis autonomously without requiring IT support, freeing up the department and speeding up data exploitation.

True self-service analysis

Teams need to be supported by machine learning and augmented analytics tools to provide value, insights and facilitate decisions through guided analytics.

Automatic discovery of revealing information

It starts a planning process from the results of a history-based algorithm without the need to hire data science specialists.

Planning from predictions

Minimise manual information mining by ensuring that we are not overlooking any revealing information that would change the course of decision-making.

Enrich strategic decisions with analytics

FEATURES

Automatic search for insight (Search to insight)

Search in natural language to obtain visualisations and graphics to solve your questions instantly.

Smart Insights

Machine learning technology allows you to save time and focus on higher value activities.

Smart discovery

Relates data to understand how factors influence business processes, procurement, production or cost control.

Smart simulation

It automatically generates predictive models that will allow you to simulate how the change of any of the variables or parameters influence the KPIs.

Advantages

Real-time and analysis

Direct connection to transactional systems with no latency and automatic retrieval of revealing information, allowing valuable people's time to be spent making decisions rather than mining information.

Enhanced analytics

Use of predictive techniques without the need for technical knowledge to obtain key information that evaluates all the relationships between products, customers, seasonality, suppliers, cost centres, etc. and allows us to improve processes.

Collaborative planning

As this is a section in its own right, while we analyse the data, we will be able to make flexible and collaborative plans that we can compare with the real data.