Jun 30, 2023
•1 minute read
analytics
Evolving BI and AnalyticsCreating a cohesive data fabric is integral to organizational business intelligence (BI). However, while many organizations strive to reach this goal, there is often a gap between building cohesive data fabric strategy and its execution. The introduction of SAP Datasphere earlier this year aimed to address this need by harmonizing mission-critical data across the enterprise while maintaining its business context. However, SAPinsider research shows that a need to demonstrate return on investment (ROI) and provide faster time to value may override such broader, strategic goals.
Although four in five respondents reported that their organization was currently considering, planning, or implementing business intelligence solutions, most are still in the early phases of their deployments. The challenges that they face in deploying these initiatives relate to budget, change management issues, and embarking on broader programs rather than trying to provide quick wins. Despite the need for a cohesive data fabric, respondent organizations are constrained with demonstrating ROI, faster time-to-value, and limit expenditure. This may preclude them from meeting their broader business intelligence objectives even though there is a need for more agility and cross-enterprise capabilities in business intelligence. However, as operational business intelligence gets embedded in strategic plans and roadmaps, organizations will be able to better engage with their business intelligence plans.
Download the benchmark report to read the full data analysis from 178 members of the SAPinsider community and receive recommendations for your own plans.
- Explore the factors behind the need for business intelligence and analytics to evolve
- Learn whether business intelligence objectives are part of long-term strategic and enterprise planning
- Understand the challenges that organizations face with deploying business intelligence programs
- See what data consumption tools, technology platforms, and databases/data lakes are being used
Green IT = Sustainable BusinessesSustainability should be the new headline for everything humans do. Sustainability means fulfilling current generations’ needs without compromising the needs of future generations. However, this is difficult to achieve. Sustainability issues have already started to affect our lives and our economies. This article explains how sustainability issues are affecting business operations and how IT can help to address and mitigate future risks. It recognizes that IT is part of the problem but also a part of the solution and highlights that the technology leaders play a pivotal role in achieving a sustainable IT for environmental stability and business success. But the journey to a sustainable IT is a marathon not a sprint. It requires a clear goal, sufficient data, and application for monitoring and reporting, and commitment, conviction, and actions from all stakeholders.
Feb 2, 2023
•11 minute read
Key Insights using SAP Analytics CloudIn today’s world, data is becoming more valuable day by day. 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 data, but under-analyzed data, SAP Analytics Cloud has simplified and expedited data analysis.
Jul 11, 2022
•9 minute read
Synergizing Data Science and Software Engineering TeamsDue to the nature of their role, data scientists need to collaborate with many different stakeholders and departments. Recently, there has been a lot of focus on the need for data scientists to collaborate with business functions that will leverage the solutions designed by data scientists. While this collaboration aspect is certainly important, a critical collaboration aspect that is overlooked is the collaboration of data science teams with software engineering. This article focuses on the areas of opportunities. Specifically, the article will help answer questions like:
• What are the areas of opportunities for data scientists and developers to collaborate?
• What are the benefits of collaborations?
• How can SAPinsiders enhance this collaboration?
Apr 1, 2022
•6 minute read
Intelligent Solutions for Payment Fraud Risk ManagementThe extensive nature of supply chain networks creates many points of risk. One of such risks, within the procure to pay space is supplier payment fraud. Some examples of procurement fraud are supplier spoofing, business email compromise and spoofing an officer of a company. Procurement fraud is not only becoming more prevalent but is also becoming more and more sophisticated. The fraud instances exploit weaknesses that are prevalent due to manual control processes that many organizations still leverage. The need of the hour is to employ smarter and automated solutions instead of manual controls.
To discuss this critical topic, SAPinsider invited Akhilesh Agarwal, COO & EVP, Global Procure to Pay Solutions & Applied Technology at apexanalytix for a discussion.
Mar 31, 2022
•6 minute read
Discussing Payment Fraud Risk Management with ApexThe extensive nature of supply chain networks creates many points of risk. One of such risks is supplier payment fraud within the procure-to-pay space. Some examples of procurement fraud are supplier spoofing, business email compromise, and spoofing an officer of a company. Procurement fraud is becoming more prevalent and is becoming more and more sophisticated. The fraud instances exploit weaknesses that are prevalent due to manual control processes that many organizations still leverage. The need of the hour is to employ smarter and automated solutions instead of manual controls.
To discuss this critical topic, SAPinsider invited Akhilesh Agarwal, COO & EVP, Global Procure to Pay Solutions & Applied Technology at apexanalytix for a discussion.
Mar 31, 2022
•1 minute read
Data Connections For SAP Analytics CloudAnalytics is driven by data and hence even best-of-breed tools like SAP Analytics Cloud need robust data integration to harness their capabilities fully. Data connection and seamless integration to data sources are critical to building robust data and analytics capabilities. SAP Analytics Cloud supports a plethora of data sources and data connections. It offers a variety of connectivity options and can be integrated into an enterprise's existing data and analytics landscape or can be used as a stand-alone enterprise analytics platform. This article will provide readers answers to questions like:
• What are the types of data connections available in SAP Analytics Cloud ?
• What are examples of those data sources?
• What are the characteristics of these data connections?
Jan 18, 2022
•3 minute read
Predictive Planning in SAP Analytics CloudSAP Analytics Cloud (SAC) has advanced Machine Learning (ML) functionalities built-in that can allow non-data science users to perform advanced modeling as well. Predictive analytics remains a key advanced analytics approach among various analytical approaches. In this blog, we will explore the smart predict functionality of SAC and understand how expert, non-data scientist users can leverage them to build predictive analytics models. Readers will get answers to questions like:
• What is predictive analytics?
• What is smart predict and how it can help create more “citizen data scientists”?
• What is augmented analytics and how does smart predict uses it to aid business users in predictive planning?
Jan 14, 2022
•3 minute read
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