Applying IBCS Hichert & Faisst standards with SAP Lumira

I am a big fan of the IBCS standards for messaging, insights and data visualization. One way to apply these standards are the Graphomate charts. Below is an example of applying graph mates with SAP Lumira. All information on the graphomates can be found here.

Enterprise reporting: unlock the detail and enrich corporate data with external insights onto a Mobi

Business users now require a lot from their enterprise analytics platforms. They require to have corporate insights at the lowest detail. They also expect consolidated and visualized insights, combined with detailed overview at their fingertips. But most of all, they require to entich or blend theur corporate data with data that comes from either other systems or even outside their enterpise. Oh yes, and can it please all be governed and secure? Scenario Let's simulate following scenario: A CFO or somebody from the Office of Finance looks at his corporate dashboard with consolidated data, that covers onto the transactional level. The dashboard provides the CFO with the KPI's for both revenue

BI Suite 4.2 - Get excited with a BI platform that is ready for Digital Transformation

Digital Transformation brings us IoT, BigData, connected networks and digital business. It also brings us the necessity for the closed loop portfolio in analytics. When it comes to an Enterprise Business Intelligence platform that can handle all of the above, one simply concludes at following core requirements: scalability performance integration governance One of the leading solutions for enterprise BI platforms is the SAP BI Suite. Recently launched in it's 4.2 flavor, this platform is second to none. If have prepared a document for you that covers all of the latest enhancements in this solution. I went the "extra mile"and accompanied every new feature with a little video showing what the

Let Me Explain: Cloud For Analytics dashboards in 10 miutes

In a previous article on BI Modeling for Cloud For Analytics, I explained how to set up the model in Cloud For Analytics that you need to start building your storyboards and dashboards. In the example we created a GEO dimension and a hierarchy. Furthermore we prepared the model to start visualizing things. Enclosed video shows you the next section: creating a simple dashboard in just 10 minutes. You will learn: How to add a chart/graph to the canvas How to adjust chart/graph settings How to make charts and graphs interdependent to each other How to set up a GEO map and add different layers to it

“We are no longer a bank, but a technology company": IOT in phases, the customer-centric and in

“I have the feeling we are no longer a bank, but became a technology company”, a CFO of a huge bank recently quoted. He might be right. Let’s see why. In a previous article I mentioned the staggering economic impact IoT will have. However that assumes the issue of interoperability is further evolving into ‘the dinosaur’ of integrated IoT applications. For various reasons the interoperability of IoT applications will be evolving during time: The adoption curve that enterprises have towards IoT; it will take time before enterprises fully realize the value of IoT to their market or industry. A huge amount of enterprises will wait for the market to become more mature before seriously investing i

Breaking: 1.000 copies sold Passionate On Analytics

How proud can you be? This week the 1.000st copy of my book Passionate On Analytics was sold. The buyer is Patrick Van Deven, Managing Director of SAP BeLux. Patrick clearly showed his interest in the book and what we were doing with this website. One of his questions was how I thought the market of Cloud analytics was evolving. Below video shows a little conversation I had with Patrick Van Deven talking about the book, the website and analytics in the Cloud. After the interview Patrick and I talked a bit more about this website and what to expect the next months. I told him it fits in some broader plans. In 2015 I started blogging about analytics via a public blog-site. Quite quickly this l

Manage the details in Banking: dash boarding and reporting at transaction level

Like any industry, the banking sector has its own little merits and specialties when it comes to insights, monitoring and reporting. I work with them all the time, and one of the complaints I always here is that mid-level management requires to have access to the detailed transactions when needed. No issue, one would think, if it wasn't for the ridiculous amounts of data. Luckily companies like SAP have such a wealth of expertise and technology, that they have dedicated teams for all industries amongst banking. The teams compose of industry experts who work closely with product teams like for example business analytics. The results are stunning: Banker's dash boarding applications handling t

Let me explain: Cloud For Analytics BI Modeling

Cloud for Analytics (C4A) is a wonderful tool that is currently the single one on the market that offers business intelligence self-service capabilities combined with planning. In 2016 SAP also adds predictive analytics capabilities and risk & compliance. It will than be the single tool that covers the full closed loop portfolio, and that is remarkable. In this article I explain and demonstrate to you how you can create a simple C4A model with GEO capabilities and a custom hierarchy. When I first started modeling in C4A, I had to get used a bit to the way of modeling. As a "traditional BI guy" I am used that custom modeling is being made on the fly. In Cloud For Analytics, the full model is

How to bath a dinosaur: why analytics could safeguard 90% of the succes of IOT

If you have missed the enormous attention around the Internet of Things (IoT), you probably have been in temporarily hibernation. IoT is with you, it is with me, with them …. IoT is everywhere, and we just even got started. The Internet of Things has the potential to fundamentally shift the way we interact with our surroundings: the fact that IoT can electronically monitor and manage physical objects, allows for data-driven decision taking. It will allow to optimize system’s performance, create value with new business models, save people’s time and increase quality of life. Internet of Things defined: To define IoT we can say IoT is as sensors and actuators that are connected by networks on

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