Jul 29, 2024
•1 minute read
SAP Analytics
SAP Analytics focuses on how organizations use enterprise data to generate insight, support better decisions, and automate parts of day-to-day decision-making across SAP environments. The topic spans business intelligence, machine learning, artificial intelligence, SAP HANA, the Predictive Analytics Library, SAP Data Intelligence, SAP Analytics Cloud, and SAP AI offerings embedded across business processes.
Analytics connects business users, data scientists, ML engineers, finance leaders, supply chain teams, and IT organizations around a shared goal: turning SAP data into operational insight, predictive capability, and business process intelligence.
What is SAP Analytics?
SAP Analytics is the use of SAP data, analytics platforms, and embedded intelligence to understand business performance, identify patterns, predict outcomes, and guide decisions inside enterprise processes. It includes descriptive analytics through BI, advanced machine learning models that learn from changing data, and AI capabilities that support problem-solving and decision-making.
SAP Analytics focuses on how organizations use enterprise data to generate insight, support better decisions, and automate parts of day-to-day decision-making across SAP environments. The topic spans business intelligence, machine learning, artificial intelligence, SAP HANA, the Predictive Analytics Library, SAP Data Intelligence, SAP Analytics Cloud, and SAP AI offerings embedded across business processes.
Analytics connects business users, data scientists, ML engineers, finance leaders, supply chain teams, and IT organizations around a shared goal: turning SAP data into operational insight, predictive capability, and business process intelligence.
What is SAP Analytics?
SAP Analytics is the use of SAP data, analytics platforms, and embedded intelligence to understand business performance, identify patterns, predict outcomes, and guide decisions inside enterprise processes. It includes descriptive analytics through BI, advanced machine learning models that learn from changing data, and AI capabilities that support problem-solving and decision-making.
The end-to-end process of BI involves analyzing the data generated by businesses, transforming the data into insights, and leveraging those insights to make optimal decisions. BI tools primarily leverage “descriptive analytics,” because these tools traditionally focus on analyzing current and historical performance based on data generated by the enterprise.
In practice, SAP Analytics helps organizations use tools such as SAP Analytics Cloud, SAP HANA, SAP Data Intelligence, and SAP AI capabilities to support reporting, planning, predictive analytics, automation, and business process improvement.
What are some SAP Analytics use cases?
Business intelligence and reporting
Teams use BI tools to analyze current and historical enterprise performance, transform business data into insights, and support decisions based on descriptive analytics.
Predictive analytics
Organizations use machine learning algorithms and SAP HANA’s Predictive Analytics Library to build models that learn from input data and support predictive use cases.
Self-service analytics
SAP Analytics Cloud supports business users with intuitive, AI-guided analytics capabilities, helping functional managers work with analytics without needing to be data scientists or technical managers.
Enterprise planning
SAP Analytics Cloud combines planning, predictive analytics, reporting, and BI, allowing organizations to use it as a collaborative enterprise planning tool.
Business process intelligence
SAP AI offerings are positioned to infuse intelligence into lead to cash, design to operate, source to pay, and recruit to retire processes.
Data science and ML development
SAP applications support data scientists and ML engineers building advanced ML models and solutions, while also helping end users perform advanced analytics with minimal technical proficiency.
What does SAPinsider research say about SAP Analytics?
SAPinsider research shows that analytics maturity increasingly depends on cloud-based platforms, self-service access, and cross-functional data models. SAP Analytics Cloud reflects this shift by combining planning, predictive analytics, reporting, BI, and AI-guided analytics for business users.
The SAP Business Data Cloud benchmark shows that data foundations remain a major constraint. Only 3% of organizations have a unified governed data layer, while 38% remain siloed, limiting progress toward real-time analytics and AI-driven decision-making. Still, investment momentum is building. SAPinsider found analytics modernization was a top SAP BDC driver at 28%, followed by AI and agent-based use cases at 26%.
SAPinsider’s AI maturity research reinforces the importance of trusted analytics foundations. While 91% of respondents report some AI use, 79% cite access to high-quality, trusted data as a requirement for successful AI strategies.
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Apr 24, 2024
•3 minute read
Advancing Data Management and Analytics with ProtivitiMany companies are anxious to enhance their analytics capabilities. In fact, recent SAPinsider research found that the demand for analytics is a key motivating factor driving decision-making within finance, supply chain management, and many other key business areas. Protiviti has significant experience in helping businesses to achieve the data foundation that they need to enable advanced analytics capabilities. Whether it's Robotic Process Automation (RPA), machine learning (ML), or artificial intelligence (AI), businesses need cleansed and harmonized data sets to turn these goals into realities.
In this article, we will explore some of the key offerings and advice Protiviti has for SAP users. This includes long-term and short-term planning, data management, and the combined power of SAP Datasphere and SAP Analytics Cloud.
Feb 18, 2024
•5 minute read
TEF Live Event at EMEA 2023The Leader’s Guide to Innovation and Transformation Enabled By AI, Automation, SAP S/4HANA, the Cloud, and More Join fellow Executives on November 15th for the Technology Executive Summit LIVE at EMEA 2023!* *This is a customer-only event. Never before have CIOs and tech leaders been responsible for understanding the vast technology options at their disposal […]
Sep 20, 2023
•4 minute read
Overcoming the Challenges of Predictive Analytics SolutionsPredictive analytics are a powerful tool. Every company can find some way to benefit from using past data to gain insights into the future. Leveraging predictive analytics to their fullest extent can give organizations an important boost in a competitive market.
Nearly every enterprise has access to data, but not all are able to leverage the data successfully. The SAPinsider SAP Data Management Strategies Research Report found that about one quarter of companies are unable to support the type of analytics that their business demands.
In this article, we will examine four of the most significant roadblocks that stand in between companies and their data analytics goals, as determined by insightsoftware. We will also go over the strategies that organizations can use to overcome these roadblocks.
Jul 24, 2023
•3 minute read
Evolving Business Intelligence in Supply ChainsAs supply chains become more diverse and complex, so do their information systems and associated business analytics systems. The need to build near-real-time visibility, data-driven culture, and digitalization are business imperatives that have forced organizations to invest in data and analytics tools and technologies.
However, such tools still need to evolve technologically to address business complexities, even though technology and computing power have rapidly evolved in the last decade. Additionally, the rapid emergence of data science, Artificial Intelligence (AI) and Machine Learning (ML) algorithms and the proliferating adoption of cloud computing are disrupting the field of business analytics. And a category of analytics tool that is ripe for disruption is Business Intelligence (BI) tools. BI tools have been around for more than four decades, and like many other business analytics tools, they are evolving to address business trends in the digital age. Considering this evolution, many SAPinsider organizations who have been leveraging BI tools for a long time are asking, “What is going to be the future of BI tools?” This article discusses the need for evolution of business intelligence in supply chains, to address the increasing complexities.Business intelligence tools have evolved in one key aspect, that is, from being leveraged for historical insights into “what happened?” to being used for getting answers to questions like, “What is happening?” and “What can happen?” And this is where operational intelligence, an evolving aspect of BI tools transformation, comes into play. In simple terms, operational intelligence or operational business intelligence is the outcome of BI tools evolution which produces near-real-time insights and enables better decisions and actions. However, the key aspect of differentiating operational intelligence from BI tools is the type of insights it generates.
Apr 5, 2023
•2 minute read
Secure Data Masking for Sensitive DataClick Here to View the Session Deck Threats to data security are common, and while hackers and breaches create headlines, many organizations are at risk of data insecurity, specifically in non-productive or support systems. Included will be a short demonstration of Libelle DataMasking, a software solution to obfuscate sensitive data, as well as a Q&A […]
Mar 30, 2023
•1 minute read
Enabling Real Time Insights Into Sustainability In Today’s NFL StadiumAs part of the 49ers sustainability initiative, the Executive Huddle presented by SAP was upgraded this season with new capabilities allowing the team to monitor Levi’s Stadium utility usage, allowing them to monitor consumption of water and gas.
To get access to real-time utility data, six 3D-printed water and gas meter readers that feed data directly into the Executive Huddle were installed. To get data from the meters into the HANA Cloud system and available in the SAC Digital Boardroom, pictures of those meters are taken and converted into data. Cameras and Raspberry Pi devices are used that take a picture every minute and send this data to a Google Cloud storage bucket. Those cameras and Raspberry Pi devices are built into a 3D-printed customized housing for each meter. The housing is removable, as meters also need to be accessed by the utility companies. Once the pictures arrive in the storage bucket, they get processed by a Python script which translates the pictures into data. This data is loaded into SAP BTP HANA cloud and stored there. Some additional calculations are done on HANA Cloud in order to calculate the consumption in that time interval. All data is processed and then visualized in an SAC dashboard.
In this session:
How to get data from the meters into the HANA Cloud system and available in the SAC digital boardroom
Preview of the data insights on water and gas usage on gameday used by the 49ers
How the 49ers are using real-time data to resolve issues during gameday for fans
Mar 30, 2023
•1 minute read
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