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SAP

Why Migrate From On-Premise SAP HCM to Cloud Based HXM-SAP Success Factors?

On-Premise SAP Human Capital Management (HCM) was considered one of the most powerful Human Resource Managements (HRMs) until the relevance and necessity of cloud-based SAP SuccessFactors came into the picture. The two most prominent reasons for the growing popularity of cloud-based (Software as a Service) SaaS applications are (1) changes in the Gen Y and Gen Z workforce at offices, and (2) the developing culture of remote work.

6 SAP companies driving business results with BigQuery

Digital technology promises transformative results. Yet, it’s not uncommon to encounter potholes and speed bumps along the way. One area that frequently trips up businesses is putting data into action. It can be extraordinarily difficult to take advantage of the right data at exactly the right time — in real time — to drive decision-making. For SAP customers wanting to maximize the value of their data, Google Cloud offers a number of capabilities.

BigQuery Connector for SAP: Power your cloud data analytics strategy

Google Cloud has a genuine passion for solving technology problems that make a difference for our customers. With the release of our BigQuery Connector for SAP, we're taking a another big step towards solving a major challenge for SAP customers with a quick, easy, and inexpensive way to integrate SAP data with BigQuery, our serverless, highly scalable, and cost-effective multi cloud data warehouse designed for business agility.

5 Tips for Pushing Data from Your Warehouse to SAP

Reverse ETL flips the targets and destinations of the standard ETL (extract, transform, load) process. Instead of collecting your data within a centralized data warehouse, reverse ETL transfers information out of this warehouse and into third-party operational systems for ease of access and better analytics and reporting. That’s all very well and good — but what does reverse ETL look like in practice with systems and software such as SAP?

IDC reveals 323% ROI for SAP customers using BigQuery

If the COVID-19 pandemic has taught us anything, it is that speed and intelligence are of the essence when it comes to making business decisions. Organizations must find ways of keeping ahead of competitors and disruptions by continually leveraging data to make smart decisions. The problem? Data may be everywhere, but it’s not always available in a form that businesses can use to generate analytics in real time.

Design considerations for SAP data modeling in BigQuery

Over the past few years, many organizations have experienced the benefits of migrating their SAP solutions to Google Cloud. But this migration can do more than reduce IT maintenance costs and make data more secure. By leveraging BigQuery, SAP customers can complement their SAP investments and gain fresh insights by consolidating enterprise data and easily extending it with powerful datasets and machine learning from Google.