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, October 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.”
Boosted by the evolution of mobility and advances in technology, we see new data sources emerge continually. It is forecasted that by 2020, 50 billion Internet-enabled devices will be connected to the Web generating 44 times more data annually than we did three years ago.
This growth can be the fortune or the ruin for a company. This depends on their knowledge of Big Data and whether they see it as a challenge or opportunity.
In order to understand what can be denominated BigData, there are a number of factors to be taken into account. Recently, Adrian Simpson and Timo Elliott talked about Big Data and the ‘Four Vs’ – which stand for volume, velocity, variety and validity (see the studio discussion What is Big Data here).
There has been some discussion generated after this, with disagreement about how many Vs there are. While some defend only three (volume, velocity and variety), others say there are more, such as veracity, virility and viscosity. As an example, read the blog Beyond the Three V’s of Big Data and make up your own opinion about the topic.
The fact of the matter is that Big Data is already a reality. In order to stay competitive, companies will have to be able to analyze their growing data effectively, allowing for timely response and proactive actions taken after spotting trends.
SAP HANA allows companies to do just that. SAP HANA is a modern platform for real-time analytics and applications. It enables organizations to analyze business operations based on a large volume and variety of detailed data in real time. The main benefits of SAP HANA include:
- 3600x faster reporting speed
- Make business decisions in real-time
- Accelerate business performance
- Unlocks new insights
- Increase productivity and efficiency
And this is just the tip of the iceberg, SAP HANA is one of the fastest growing products SAP has launched, and the explanation for this exponential growth can be found on ten reasons customers choose SAP HANA Clariba is working with SAP HANA in conjunction with SAP BusinessObjects Business Intelligence solutions so that companies can work with real-time BI information and be on top of changing business realities as events unfold. As the first proofs-of-concept succeed at our clients, we realize that this combination of Big Data analysis and market-leading business intelligence from SAP BusinessObjects is the way forward to unleash the insights from a company´s databases.
Have any doubts or want to know more about the combination of Business Intelligence and Big Data with SAP HANA? Leave a comment below.