Some tools can be more productive than others. Throughout our experience in implementing an optimal machine-learning pipeline in production, we have learned to appreciate the raw strength of the combination of SAP HANA with SAP Data Services. The amount of time that can be saved by reformulating the approach and optimizing it to use this combination is significant, compared to a vanilla approach involving usage of Python for data wrangling, cleaning, discovery, and normalization, which are significant aspects of machine learning pipeline development.
Leveraging drone technology and SAP applications to provide actionable business insight
I have recently had the great opportunity of being involved in a couple of SAP Fiori UX projects with different customers, and I am going to share some insights about it.
SAP's last movements have undoubtedly been moving towards applying a renewed UX (User Experience) in its products and strategy. The main issue of many of companies nowadays is complexity; it raises costs across organizations, slowing companies growing their businesses. The main message is clear, keep it simple.
Based on Clariba’s specific expertise and successful completion of all requirements of the SAP® Recognized Expertise Program, Clariba Consulting Middle East has been granted the SAP Recognized Expertise designation in SAP HANA® and Business Intelligence.
Data mining, as per definition, is a discipline whose main aim is to discover patterns and most importantly, to predict and gain more knowledge on your data. This is done by combining different methods and approaches from artificial intelligence and statistics disciplines. One of the most common problems is how to build accurate and optimal classifier that given raw data helps us to build a model to classify future cases. There are many algorithms and methods available and we will refer in this blog article to the C4.5 which is available in the SAP Predictive Analytics tool. SAP Predictive analytics (SAP Infinite Insight) provides data mining capabilities that help many companies to anticipate customer behaviors and demands.
Since release of SAP HANA more and more calculations and rules are pushed into database layer to fully gain all performance benefits that SAP HANA is providing. As every other database, implementation of these rules is highly dependent on database developers.
SAP HANA’s Smart Data Access bridges hot in-memory data with your traditional EDW During the second half of 2013, the database and technology team at SAP has been hard at work to deliver major enhancements for the SAP HANA database. With SP6 and SP7, released just a few weeks ago, we will highlight a new key capability for the in-memory database we believe will provide immense benefits.
In this article we will analyse the advantages of the SAP Business Warehouse (SAP BW) on SAP HANA solution in comparison with a Data Warehouse built directly on SAP HANA. We will also benchmark the performance of a SAP BW vs. SAP BW on HANA in a big data scenario. Most of us are aware of the last trends in BI/EPM market and where it is heading. SAP's mid and long term strategy shows that they are committed to convert SAP HANA in the core of many of their solutions including SAP ERP and SAP BW. SAP HANA can be used either as a database for other Custom Applications or as an Enterprise Corporate Datawarehouse (EDW) to take advantage of its big data and in-memory capabilities.
UAE, Dubai, octubre 02, 2013 – In-memory computing (IMC) is quoted as one of the top 10 technology trends for 2013. Jumping on this trend is Spinneys Dubai, a leading food retailer in the UAE, who recently implemented SAP’s real-time in-memory technology platform SAP HANA®. This groundbreaking solution combined with the leading visualization and analysis capabilities of SAP@ BusinessObjects™ immediately allowed Spinneys to explore and analyze large quantities of their data from a vast array of sources more effectively, at record speeds. Clariba, a leading business analytics consultancy in the Middle East, was a key player in ensuring the successful implementation and immediate results.
The Gartner Top Technology Trends 2013* states that the in-memory data grid (IMDG) market may still be small, but the decline in costs of flash memory prices, and the maturation of specific software platforms will make In-Memory Computing (IMC) more accessible to companies, promoting fast growth reaching $1 billion by 2016. Massimo Pezzini, Gartner VP said in a recent Gartner press release that companies that do not consider IMC risk being out-innovated by competition. “During the next two to three years, IMC will become a key element in the strategy of organizations focused on improving effectiveness and business growth.”