Artificial Intelligence (AI) and analytics play a key role in digital transformation initiatives. As advances in technology and computing power accelerate the digitalization journey, companies across industries are generating gigantic volumes of data daily. The value of this data lies in leveraging it to draw actionable insights, planning and innovation. This is where AI and analytics come into picture, acting as key tools to harness the value from data being generated and collected across the enterprise. Analytics is generally classified into categories like descriptive, prescriptive, diagnostic, and predictive. AI algorithms help in predictive and prescriptive analytics, but they also enable companies to build innovative capabilities like Industry 4.0.

SAP and Partner Technologies in Analytics and AI

Artificial Intelligence (AI) and analytics play a key role in digital transformation initiatives. As advances in technology and computing power accelerate the digitalization journey, companies across industries are generating gigantic volumes of data daily. The value of this data lies in leveraging it to draw actionable insights, planning and innovation. This is where AI and analytics come into picture, acting as key tools to harness the value from data being generated and collected across the enterprise. Analytics is generally classified into categories like descriptive, prescriptive, diagnostic, and predictive. AI algorithms help in predictive and prescriptive analytics, but they also enable companies to build innovative capabilities like Industry 4.0.

SAP and Partner Technologies in Analytics and AI

SAP and their partner ecosystem have rich portfolio of tools and technologies in AI and analytics domain.  SAP BTP platform has AI and analytics capabilities embedded to help organizations build intelligent enterprise capabilities. SAP S/4HANA puts AI in the ERP, whereas SAP Intelligent Automation uses AI to help organizations build smart automation capabilities. Digital supply chain tools from SAP leverage AI and analytics with emerging technologies to help organizations build smart supply chains. AP Analytics Cloud is the leading enterprise analytics tool in the market and is seen as the future of SAP Business Objects. The partner technology ecosystem is not behind. In every function, SAP partners offer AI-enabled tools like Phenom AI for HR processes, iCertis for contract lifecycle management, Prospecta for intelligent data management. Then there are overarching analytics solutions from partners like Pyramid Analytics that help build enterprise-wide decision intelligence capabilities.

Resources for SAPinsiders

Key Insights Using SAP Analytics Cloud: In today’s world, data is becoming more valuable every. For any organization, it is necessary to analyze their data before making any critical decisions regarding business operations such as finance, sales, supply chain operations and more. For enterprises with large amounts of critical,, but under-analyzed, data, SAP Analytics Cloud has simplified and expedited data analysis. This article discusses how organizations can draw critical insights using SAP Analytics Cloud.

Three-Step Gameplan to Deploy AI in the Office of CFO: While the world witnessed the emergence of self-driving cars with advanced technologies, such as artificial intelligence (AI) and machine learning (ML), the world of finance has also done everything to keep up. A/R operations are now getting more autonomous and intelligent while the workforce is focusing more on ‘strategic’ business decision making. 65% of finance executives reported that they increased their technology investments and are now focusing on growing their digital business in 2021. This webinar shares a roadmap to leverage AI in finance executive planning.

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  1. Creating a cybersecurity risks dashboard in the SAP Analytics Cloud

    When it comes to securing SAP S/4HANA business applications, organizations tend to face three key challenges:  1. How to enable the application security team to prioritize the necessary cybersecurity actions 2. How to give the CISO insight into application security risk activities 3. How to bridge the gap between the problems faced by the CISO…

  2. Leading practices for Data Visualizations in SAP Analytics Cloud

    SAP Analytics Cloud uses a library of visualizations that have never been easier to integrate with your existing planning and reporting data. With all these visualizations available, sometimes it is not clear which one is best suited for your requirements. This session will explore concepts and leading practices from the leading minds in the field…

  3. Get started with SAP S/4HANA embedded analytics

    Understand considerations for consuming SAP S/4HANA embedded analytics via SAP BusinessObjects tools, SAP Fiori, and SAP BW. Learn how to extend SAP-delivered core data services (CDS) views and build your own. Learn how to extend SAP-delivered core data services (CDS) views and build your own. Come away with a useful list of education options to…

  4. Elevating Insights: Moving Data and Analytics to the Cloud

    June 15, 2021

    Data management, data warehousing and analytics are all moving to the cloud — and opening up new opportunities. In this interactive session, we’ll address the business imperatives for adapting your data architectures to the platforms of the future, with tips on how to overcome common barriers to successful transitions. We will cover a variety of…

  5. Retain Your Data Science Talent image

    How to Retain Your Data Science Talent

    Reading time: 5 mins

    By Kumar Singh, Research Director, SAPinsider Attrition in Data Science teams had hit an all-time high prior to the pandemic. And now we are looking at “The Great Resignation”. There is no speculating what type of talent is the most desired (and required) in this digital decade as companies scramble to attract as well as…

  6. RISE with SAP on APEX

    Automated Machine Learning in the Cloud

    Reading time: 8 mins

    Automated machine learning tools have evolved into the democratization of data science. They now include a broader scope, encompassing the automation of the entire data-to-insights pipeline — from cleaning data to tuning algorithms through feature selection and creation, even operationalization. And now, with the advent of the cloud, the case of AutoML has become much…

  7. Prospecta -- Image

    Data Integrity and Transformation Go Hand in Hand

    Reading time: 6 mins

    Technological innovation enables digital transformation. In his Enterprise Data and Analytics report, SAPinsider’s Kumar Singh explains that the commoditization of technology continuously lowers barriers to entry across industries, enabling smaller, nimble, and agile companies to disrupt larger and more established businesses. The report surveyed 291 members of the SAPinsider community. The purpose of the survey…

  8. AIoT and Simulation

    Combining AIoT and Simulation Modeling

    Reading time: 3 mins

    AIoT on smart cameras has the potential to create innovative solutions in many domains. These cameras' capabilities can be paired with other emerging or existing tools and technologies to help create innovative solutions. Therefore, IoT-based analytics will be one of the focus topics in our February 2023 research report, Supply Chain Data And Analytics State…

  9. financial processes

    Benefits of Bringing Consolidation and Financial Reporting Processes Online

    Reading time: 5 mins

    As businesses grow more complex, the need for accurate and timely financial reporting has never been greater. Unfortunately, legacy and manual methods for financial reporting often need help to keep up with the pace of business. Early findings from our Financial Close Transformation benchmark report, exploring the strategic priorities of SAP organizations across the financial...…

  10. Harnessing the Power of Process Mining with the KPMG Intelligent Analytics Platform

    The KPMG intelligent analytics platform harnesses the power of business process mining and advanced analytics to analyze and map system transaction flows. Enabling organizations to identify and prevent risks before they occur and detect whether transactions are passing through intended controls, highlighting how to resolve issues in real time.