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911 results
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How SAP Analytics Cloud (SAC) aligns with evolving trends in data and analytics
by Kumar Singh, Research Director, Automation & Analytics, SAPinsider With data rapidly becoming the new currency, we have recently seen an explosion in the number of data and analytics tools in the marketplace. Advances in computing technology, availability of open source programming tools and the exponential increase in the data that organizations generate and...…
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Successful Data and Analytics Management
Business Intelligence, Data Management and Advanced Analytics capabilities are essential parts of the digital enterprise and digital transformation process. Syskoplan Reply’s expert SAP consultants can help you turn data into insights, insights into action and action into results.
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An Introduction to SAP Predictive Analytics 2.0 and SAP HANA Predictive Tools
In this exclusive report by Hillary Bliss, take a walk into the world of the SAP suite of predictive tools with an in-depth tour of the new SAP Predictive Analytics 2.0 and how it ties into SAP HANA and SAP Lumira. Learn the importance of general predictive modeling concepts, and then apply those concepts as...…
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Special Report: Implementing SAP HANA – An End-to-End Perspective
In this exclusive special report, get an in-depth, step-by-step look at the aspects of implementing BI solutions on SAP HANA. Gain insight into how ETL integrates with SAP HANA and how SAP BusinessObjects BI 4.0 analyzes and visualizes the data stored in SAP HANA. Key Concept SAP HANA modeling is a process whereby a developer...…
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How to Leverage SAP BW/4HANA for Big Data and Analytics
Understand the benefits, design principles, and architecture of SAP BW/4HANA, and learn how to leverage them. Key Concept SAP BW/4HANA is the new SAP HANA data-warehouse product launched in August 2016. SAP BW/4HANA preserves the core functionality of SAP BW and leverages all the features of SAP HANA, such as smart data access, dynamic tiering,...…
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Data Can’t Wait: Start Planning Today
Since the inception of SAP S/4HANA, one of the main risks that often derails the implementation journey centers around preparing, cleansing, converting, and managing the data. This article presents leading practices that SAP customers can leverage during their SAP S/4HANA implementations to significantly reduce program risks associated with the data conversion process. The advice provided…
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Supply Chain Product Innovation With Data and Analytics
The pressure to innovate to launch new products and solutions emerged as a top business imperative in the response to the recent SAPinsider survey on the use of data, analytics and automation in supply chain. The survey results intend to help us formulate our storyline for upcoming February research report, Building Resilient and Agile Supply…
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Leveraging Data Connection Gateways to Harness Full Value from Analytics Investments
By Kumar Singh, Research Director, Automation & Analytics, SAPinsider The critical role of analytics in digital transformation Organizations today are rapidly evolving into mathematical corporations, driven by analytics and technology. Fueled by an explosion in data, they are making strategic as well as day-to-day decisions based on insights generated by this data. Hence, it…
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Turn Any-Sized Data Volume into Business Value: Discover the Power of SAP Data Warehouse Cloud
Data volumes today are growing exponentially due to the various ways that data is being produced. SAP customers are being inundated with information as more and more data is arriving into hybrid environments of on-premise and cloud systems from various ERP solutions, data lakes, customer feedback via mobile apps, and social media interactions, to name…
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Managing Data with SAP Data Replication and Transformation Tools
Data and solution integration is becoming one of the most important aspects in enterprise architecture. Learn about the functionalities provided by SAP data replication and transformation solutions and their proper use. Key Concept Modern business solutions often run in a complex enterprise landscape that requires extensive use of data replication and transformation functionality. Tools such...…
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