Thanks Xavier... Hi Antoine, for me really the designing part of SAC is very weak compared to other tools. How…
Video: SAP Analytics Cloud Debugging [2023.14]
With the introduction of the Unified Story Mode, scripting within SAP Analytics Cloud becomes more accessible for many story developers.
Let’s look at some options to debug your SAC scripts!
Gartner Magic Quadrant for Analytics and Business Intelligence Platforms 2023
Sometimes it feels as we are at the end of history and nothing changes anymore. I’ve been reading these annual Gartner “Magic Quadrant” reports on the state of Analytics and Business Intelligence (ABI) for a couple of years now and every edition concludes the same, at least for the “big four” that I look at as I encounter those the most in project (SAP, Microsoft, Salesforce Tableau and Qlik). MS Power BI on top, Tableau second and Qlik still somewhat regarded as a leader. However, SAP is getting closer and closer to take over that third spot!
You can find the report summary here and use the slider below to compare the quadrants of 2022 and 2023.
So what?
The question is of course what all of this actually means. Gartner defined 12 “critical capabilities” that these ABI platforms should contain and the vendors nicely follow up by making sure each topic is somewhat covered. That’s probably why we have these “Search to Insight” and “Smart Discovery” features in SAC that are cool for demos but actually don’t work in real business situations (and thus are never used).
Don’t get me wrong, these capabilities eventually make sense to have in the SAC (and SAP Datasphere) platform, but as someone who is working with this kind of tooling on a daily base I’d rather see some more development effort on the basic stuff (for example enriching reporting features) and hold off a bit more on the stuff that is not “ready” anyway.
SAP Analytics Cloud
But let’s have a quick look at what the Gartner findings are for SAP Analytics Cloud (SAC).
Book review: SAP Analytics Cloud – Financial Planning and Analysis (SAP Press)
Another review on yet another SAP Analytics Cloud (SAC) book? Oh yes! This time I read SAP Analytics Cloud – Financial Planning and Analysis, again by SAP Press, and I was very glad to see this 450+ pages strong book on SAC Planning being announced some time ago.
Few may know that planning is actually the original pillar that SAC was built on. Back in 2015, the very first version of SAC was called SAP Cloud for Planning and it was aimed at being a pure SaaS planning solution! Nowadays the focus of most users may be on reporting and analytics in SAC stories and applications, using the live data connections instead of acquired data models, but still plannings is an important part of SAC. So I think it’s good to have a dedicated book for this, especially as certain SAC planning concepts are completely different from the reporting and analytics side of SAC. Think of designing and managing acquired planning models vs. using live models, working with different data versions, planning-specific features as data actions, allocations, using the built-in calendar, etc.
What I like is that not just the technical options are listed in this book, but also the overall processes in financial planning are introduced and explained. What are we actually trying to achieve here, who is involved and what are the steps? This makes it so much easier to grasp the concepts and (technical) solutions that are offered in SAC. By the way, the sales planning sample scenario that is used throughout the book is based one of the business content packages for SAC: Sales Planning for SAP S/4HANA Cloud (SAP Best Practices). Unfortunately I only figured this out after going through almost the full book, as only at the very end there is a chapter on several business content samples. But it could be helpful if you’d want to try a couple of things yourself, without having to build up a complete model first, load the data etc.
Book review: Designing Dashboards with SAP Analytics Cloud (SAP Press)
Developing dashboards and reports with SAP Analytics Cloud (SAC) does not only require skills on using the tool itself, but also some fundamental knowledge on how to design a dashboard and how to communicate data in a proper way. Of course, there are already some good books and resources on how to work with SAC and we have numerous books on dashboard design and concepts as IBCS. This book by SAP Press – Designing Dashboards with SAP Analytics Cloud – aims to bridge these two topics and bring these theoretical design concepts into practice in SAC.
The book starts with some pretty extensive chapters on dashboard design principles (they define their “10 golden rules”) and process-related success factors, from understanding the user requirements till measuring the success of dashboard after deployment. It’s a bit dry to read (lots of text) but it definitely contains some interesting stuff, especially if you’re pretty new to this.
The majority of the book leads you through the practical side of these fundamentals with a series of sample scenarios. We get lots of screenshots and lots of different visualization types (charts). It not only shows you what is possible, but also how to achieve this in SAC in a step-by-step manner. However, I don’t really understand why the authors chose to split the scenarios (and chapters) by for example connectivity type (acquired vs live). It shouldn’t really matter where the data comes from to design a good dashboard, right? Anyway, it at least gives us some more examples to learn from.
Dashboards are dead? Really?
I saw this nice discussion on LinkedIn last week on the state of dashboarding. And yes, I was as surprised as you to see a relevant, professional post on this platform in 2022, as LinkedIn has turned into some sort of Facebook lately, but okay… 😅
The premise of the post was that dashboarding has gone completely out of hand: everybody now creates his own version of the truth with all these modern easy-to-use tools. An interesting memo by ThoughtSpot called Dashboards are dead was included with some thoughts on a different approach for data analysis. The ThoughtSpot solution is driven by natural language search (NLS) and artificial intelligence (AI) and it actually ranks pretty high on the Gartner Quadrant for Analytics and BI. This is actually a very current topic as SAP acquired Askdata last week! Askdata also operates in this area and can be expected to further extend the “Search to Insight” capabilities in SAP Analytics Cloud.
Time wasted
Although this “Dashboards are dead” document by ThoughtSpot is obviously created for marketing, it does give some interesting insights on how dashboarding and reporting is approached, especially in the world outside of our SAP bubble. Some comments made me scratch my head though. One of the narratives here is that although we have all these fancy dashboards now, still a lot of time is wasted in keeping them up to date with proper data (chapter 3). I actually do recognize this from some projects where we were asked to rebuild/develop some PowerBI solution that had grown out of hand and indeed couldn’t be maintained anymore. But, I absolutely don’t agree that this is because of the tools that are used.
