SAP Analytics Cloud

A platform designed with flexibility and choice in mind will help you speed innovation and uncover your business's potential.

What is SAP Analytics Cloud?

SAP Analytics Cloud combines BI, planning, predictive, and augmented analytics capabilities into one simple cloud environment. Powered by AI technologies and an in-memory database, it is one of the most advanced analytics solutions available today.

The Future of Data Analytics!

Data analytics (DA) is the process of examining data sets in order to draw conclusions about the information they contain, increasingly with the aid of specialized systems and software. Data analytics technologies and techniques are widely used in commercial industries to enable organizations to make more-informed business decisions and by scientists and researchers to verify or disprove scientific models, theories and hypotheses.

It's a new generation of cloud analytics combining all capabilities – including planning, predictive analytics & business intelligence in a single-software-as-a-service (SaaS) platform. Customers can take advantage of a modern, intuitive user experience—and save time by planning, analyzing, predicting and collaborating in context. SAP Analytics Cloud combines planning, advanced analytics, visualizations and reporting, and collaboration so you have everything you need to make better decisions together, and become a more agile, intelligent enterprise. Explore key features – from business intelligence and augmented analytics to enterprise planning. All SAP Analytics Cloud features are built on SAP Business Technology Platform and powered by the SAP HANA in-memory database. They can be extended to any device.

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Data Analytics initiatives can help businesses

Ultimate goal of boosting business performance.

  • Increase revenues.
  • Improve operational efficiency.
  • Optimize marketing campaigns and customer service efforts UI
  • Respond more quickly to emerging market trends.
  • Gain a competitive edge over rivals.

  • Augmented Analysis

    Augmented Analytics automates data insight by utilizing machine learning and natural language to automate data preparation and enable data sharing. This advanced use, manipulation and presentation of data simplifies data to present clear results and provides access to sophisticated tools So business users can make day-to-day decisions with confidence. Users can go beyond opinion and bias to get real insight and act on data quickly and accurately.

    Self Service Analytics

    Self-service analytics is often characterized by simple-to-use BI tools with basic analytic capabilities and an underlying data model that has been simplified or scaled down for ease of understanding and straightforward data access.

    Predictive Analytics

    Predictive analytics encompasses a variety of statistical techniques from data mining, predictive modelling, and machine learning, that analyze current and historical facts to make predictions about future or otherwise unknown events.

    Advanced Analytics

    Advanced Analytics is the autonomous or semi-autonomous examination of data or content using sophisticated techniques and tools, typically beyond those of traditional business intelligence (BI), to discover deeper insights, make predictions, or generate recommendations.

    What is business analytics?

    Simply put, business analytics is the application of analytics to business data. It focuses on the business implications of data, as well as the decisions and actions that should be made as a result of those implications.

    The importance of business analytics

    Today, the use of business analytics software is often the deciding factor distinguishing industry winners from losers. Leading companies use analytics to monitor and optimize every aspect of their operations – from marketing to supply chain – in real time. They rely on analytics to help them make fast, data-driven decisions, grow revenue, establish new business models, provide five-star customer experiences, empower employees, gain a competitive edge, and so much more. Companies without analytics – or without good analytics – are left to make decisions and do business based on gut instinct and experience alone.

    Get The Facts


    of companies say analytics is important to their growth and digital transformation


    of organizations are currently using advanced and predictive analytics


    of global enterprises plan to increase their analytics spending in 2021

    Common components of business analytics

    Business analytics is a broad field with many different components and tools. Some of the most common ones include.

    Data aggregation

    Data must be obtained from a variety of sources, organised, and cleaned up until it can be analysed. For analytics, a solid data management strategy and a modern data warehouse are needed.

    Data mining

    Data mining sifts through vast datasets, analyses data from different perspectives, and uncovers previously unknown trends, patterns, and relationships using statistical analysis and machine learning algorithms.

    Text mining

    For qualitative and quantitative research, text mining examines unstructured text datasets such as documents, e-mails, social media messages, blog comments, call centre scripts, and other text-based sources.

    Forecasting& predictive analytics

    Forecasting makes predictions about potential results based on historical evidence, while predictive analytics makes predictions based on advanced techniques.

    Simulation and what-if analysis

    Simulation and what-if analysis can be used to evaluate various scenarios and refine future decisions after projections and predictions have been made.

    Data visualization & storytelling

    Data visualisations, such as graphs and maps, make it simple to understand and communicate data trends, outliers, and patterns.

    End-to-End Experience

    Access all analytics with one user experience.

    There are insights in all of this data that can lead to exponential business growth. The problem is locating them, which is where analytics will help. Discover, analyse, plan, and predict in one experience across all devices Make end-to-end decisions with data management and analytics together in one place Scale to meet the needs of your business and diverse users across all decision types (strategic, operational, and tactical)

    SAP S/4HANA with insights by SAP Analytics Cloud

    The number of data objects are Reduced – Depending on count, BW offers 10 to 15 different building blocks to build a data warehouse. In SAP BW/4HANA, there are only 4 which are at least as expressive and powerful as the other BW Objects. SAP BW/4HANA’s building blocks are more versatile – It Eliminates Data Redundancy and Increase Consistency. They will therefore, be easier to maintain, thus more flexible and less error-prone.

    SAP SuccessFactors solutions with insights by SAP Analytics Cloud

    Customers perfectly benefit from moving their current SAP BW to SAP BW∕4HANA, because in this context they will not only experience a premium performance for data loads and analysis but also a highly simplified BW in terms of reduced data layers and a consolidation of modeling objects. This enables much higher agility when it comes to business process changes and new business requirements.

    Intelligent spend management with insights by SAP Analytics Cloud

    Customers get Great Benefit in SAP BW/4 HANA models as HANA views – these can be consumed in Visualization tools like Business Objects cloud or Lumira SAP BW/4HANA offers a managed approach to data warehousing - building blocks are offered for building a data warehouse in a standardized way. SAP BW/4HANA combines with and complements any native SQL data warehousing approach.

    Customer experience with insights by SAP Analytics Cloud

    From SAP BW or SAP BW-on-HANA to SAP BW/4HANA brings you a new shift from the legacy SAP GUI based UIs for administrators, expert users and DW architects to modern UIs based on HANA Studio or Fiori-like, browser based UIs. But it is not only about using modern technology and changing the visualization of existing UIs but there has been significant changes in how to define and manage a DW architecture.

    Solve your specific business intelligence needs

    Business Intelligence

    Gain instant insights and take action in context of business processes.Analyze, predict, plan, and execute within your business process for instant insight to action. Increase engagement, and accountability with built in collaboration capabilities.


    Our vision is to manifest business challenges into practical solutions, mentor those solutions into practices & mature those practices into organizational culture.
    SAVIC helping Customers achieve their Business Objectives by adoption of Technology & Business Consulting Service.

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