Clariba, a leading data-driven digital transformation solutions SAP partner based in Europe and the Middle East received two highly acclaimed awards at the SAP Summit 2019 in Dubai, UAE. “We are honored to be the winner of the SAP Best Intelligent Platform Partner 2019 in the Middle East. This award showcases the strength of our innovative work for clients in partnership with SAP”, says Marc Haberland, Founder & Group CEO, Clariba. “To also receive the SAP Quality Excellence Award is a great achievement and testament to the outstanding work the entire Clariba team delivers on a daily basis to enterprise customers,” he adds.
SAP Vora is an in-memory computing solution from SAP that allows to develop analytical applications from massive data sources (Big Data) and NoSQL. In this article we will introduce you to its main components and features. Furthermore, we will disclose some initial insights about its performance by using a test case developed at Clariba. Let’s start with a brief introduction.
Helping our customers in their Digital Transformation journey requires us to constantly stay outside of our comfort zone, to make sure we are a step ahead of our competitors while adding value to our customers. Our participation in the Du Tough Mudder race, with a team led by our Global Sales Manager Luca Spinelli, reminded us of key values we try to keep always in mind in whatever we do. Read the full story written by him.
As enterprises still struggle to successfully rollout native mobile applications as outlined by a recent Gartner Survey, large enterprise software vendors like IBM, SAP and others are moving to facilitate better native mobile application development by releasing enterprise software development kits (SDKs) of their own.
As SAP Analytics expert partners, we felt the need to develop an internal tool to help us measure a SAP BI server’s performance when handling more and more data and more and more users. We needed to scientifically and objectively measure SAP BI performance and benchmark it against other servers or after server tuning. The result are the Clariba SAP Business Intelligence Benchmarks.
60% of strategic decisions are still made without the support of Business Intelligence tools. Big companies are still allocating a 50% of their IT budgets towards infrastructure: cloud solutions are not broadly adopted due to the fear of losing data privacy. Only a 10% starts using predictive analytics. IoT, AI and Machine Learning are believed to be the solutions of the future
Digital transformation in Spain is a fact. Several companies started using cloud solutions, data analytics using IoT sensors or predictive analytics, and developing AI and Machine Learning initiatives.
Last March 29th, Clariba had the chance of participating at the SAP Dreamzone event in Madrid, perfect scenario to talk about these matters. We asked some relevant questions to the assistants:
¿How many of you still make decisions without the support of BI tools?
60% raised their hands. Taking into consideration that most of their companies have BI tools available, it‘s a surprise that only 40% of the management level are actively using them. Clearly, most companies still need to move towards self-service BI tools, as in most cases IT departments are still the BI environment owners, and the culture of Analytics needs to spread and impregnate deeper into the organisation.
SAP Lumira 2.0 offers users self-service powerful analytics features without the need of high IT skills. We believe it will become the main BI solution needed to spread the analytics culture across all levels and people into any organization, allowing a better decision making and ultimately creating efficiency and value.
What % of your annual IT Budget is allocated towards infrastructure and its maintenance?
The audience mainly answered 50% of their budgets are allocated towards infrastructure. Apparently quite a high portion, the reason being most companies are reluctant to move their data out of their premises. This isn’t however an issue for BI tools. Modern cloud-based BI tools like SAP BusinessObjects Cloud and the strate-of-the art SAP Digital Boardroom for high management dashboarding, allow having all dashboards, planning and exploring tools in the cloud, while the data remains at the company’s premises. This way, companies maintain control and protection of their data, while it is consumed online, in a hybrid setup.
How many of you are using predictive analytics?
10% of the audience affirmed using them. Looked like a small % bearing in mind companies are starting to recruit data scientists and experimenting with data prediction and mining.
¿How can SAP help these companies spread predictive analytics into other areas than IT?
The answer is SAP Predictive Analytics together with SAP BusinessObjects Cloud. Both solutions allow users without statistics skills obtain analytics predictions based on historical data. Predefined features such as clustering, data correlation and prediction can be learned in a few hours. The outcomes are impressive and the needed investment is very low, since all these features come bundled in SAP BI Suite Premium and SAP BusinessObjects Cloud.
We foresee this % will dramatically get increased in a short time.
¿How many of you believe IoT, AI, and ML are going to enhance the interaction with customers?
Although companies still see these as distant solutions in time, a vast majority answered affirmatively.
We already see relevant samples of IoT implementations allowing companies to leverage data coming from objects, such as vehicles, industrial machinery, football players, etc. These companies develop solid competitive advantages which were unimaginable before. Predicting the failure of a machine before it happens, thanks to the information retrieved by sensors, has an enormous direct impact on different business areas, such as maintenance, finance, production, etc. Clients are nowadays looking for more satisfying and differentiate experiences. New solutions like SAP Leonardo for IoT and SAP Clea for Machine Learning will become strategical tools.
We at Clariba are aware of this change, and are willing to guide and give advice to our clients in their way towards digital transformation, differentiation and success.
SAP Saudi Arabia and Clariba, recognised as one of the leading SAP big data analytics partners in the Middle East with offices in the UAE and Qatar, are proud to announce the expansion of Clariba to the Kingdom of Saudi Arabia.
“With our expertise and references across the region, we look forward to providing our customers in the Kingdom of Saudi Arabia best-in-class analytics solutions powered by SAP’s world leading analytics and big data platform”, says Abdulgader Al-Harthi, General Manager – Saudi Arabia, Clariba. From its newly launched offices in Riyadh, Clariba aims to provide customers across the kingdom with the ability to unleash the potential of their data to drive their digital transformation initiatives. “We look forward to offering incremental value to our customers with our trusted partner Clariba”, says Ahmed Al-Faifi, Managing Director, SAP Saudi Arabia.
Clariba began with offices in Barcelona, Spain and then expanded internationally to Doha and Dubai, attracting the best talent to work with leading customers in telecommunications, retail, healthcare, transportation & logistics, oil & gas, and banking sectors. We believe that sky is the limit and therefore we are opening other global offices in order to fulfill the needs of our growing customer portfolio and to continue to provide the best service possible.
We are happy to announce that we’re opening new offices in Abu Dhabi (United Arab Emirates), Riyadh (Kingdom of Saudi Arabia) & Pretoria (South Africa). Follow us on social media — Don’t miss out!
Like never before, telcom executives need to gain rapid insight into financial, usage and customer information with the increasing pervasiveness of smart phones and the expansion of social media into our every day life. Margin erosion in a highly competitive and commoditized market where huge capital investments are required to feed the hunger for bandwidth and connectivity requires advanced analytics to identify new sources of revenue and ensure margin optimization while avoiding the churn of the most profitable customers.