- log in
Posted by Boris Evelson on February 16, 2012
My colleagues and I have just completed yet another engagement with a large client — one of dozens recently — who was facing a to be or not to be decision: whether to move its BI platform and applications to the cloud. It’s a very typical question that our clients are asking these days, mainly for the following two reasons:
- In many cases, their current on-premises BI solutions are too inflexible to support the business now, much less in the future.
- The relative success of cloud-based CRM (SFDC and others) solutions may indicate that cloud offers a better alternative.
These clients put these two statements together and make the reasonable assumption that cloud BI will solve many of the current BI challenges that cloud-based CRM solved. Reasonable? Yes. Correct? Not so fast — the only correct answer is “It depends.”
Let’s take a couple of steps back. First, let’s define applications or packaged solutions vs. platforms (because BI requires both).
- Subscribe to a solution-like CRM
- Provide standard business functions to all customers (which makes it different from “hosting;” see below)
- Difficult to tailor to specific needs
- Usually are used synonymously (but incorrectly, see below) with software-as-a-service (SaaS)
Platforms for building solutions
- Subscribe to tools and resources to build solutions like CRM
- Provide standard technical functions to developers
- Contain limited, if any, business application functionality
- Usually labeled either as platform-as-a-service (PaaS) or infrastructure-as-a-service (IaaS).
Now, let’s define “cloud.” First of all, the term is very often used synonymously with SaaS. But SaaS is just a business model; many on-premises solutions today (open source BI, financed/leased BI platforms, etc.) already use that. So let’s define what cloud-based SaaS is:
- Application hosting. There’s nothing new here. BI vendors (IBM, Oracle, SAP, MicroStrategy, SAS, Information Builders, and others) have provided hosting options for their single-client BI on-premises BI platforms and apps for many years.
- Managed service/application hosting. Again, nothing radically new. Leading BI consultancies (IBM, HP, Accenture, Capgemini, CSC, TCS, Wipro, Infosys, and others) also have been hosting and managing BI platforms and applications.
- IaaS. This is highly standardized selective computing functionality — such as computing power, storage, archiving, or other basic infrastructure components — provided over the public Internet through a utility pricing and delivery scheme. The underlying computing resources are shared among a large number of users and hosted by the IaaS provider. There’s nothing BI-specific in these IaaS providers (like Amazon EC2, Google App Engine, and Microsoft Windows Azure), but anyone can take their on-premises BI platform and application and host it on an IaaS platform. Some partners of the leading BI vendors are already doing so and some native cloud BI platforms, such as GoodData, are based on such public IaaS platforms.
- PaaS. This represents a complete preintegrated platform offering for the development and operation of general-purpose business applications. This is the least mature segment, with only a few emerging vendors. Open source vendors like Jaspersoft are forming alliances with PaaS vendors like RedHat to add BI PaaS functionality to RedHat’s OpenShip PaaS. Or native cloud BI vendors like GoodData are in the business of offering prebuilt analytical applications to business users or a BI development platform to professional developers who don’t want to deal with their own BI infrastructure.
- SaaS. This pertains to standard software application functionality delivered over the public Internet and provided through a usage-based pricing model. The underlying application resources are shared among a large number of users. There are hundreds of domain- and industry-specific apps, such as SFDC for CRM and ADP for payroll.
- BPaaS. Business process-as-a-service involves the provisioning of highly standardized end-to-end business processes delivered via dynamic, pay-per-use, and self-service consumption models. Today, this is mostly limited to specific domains such as customer data cleansing provided by vendors like D&B, Axciom, and HarteHanks.
So . . . when we at Forrester talk about cloud BI, we usually mean a combination of cloud BI SaaS and PaaS. Now that we have defined what it is, let’s drill into the “it depends” statement we made at the beginning of this blog.
As demonstrated in numerous research documents, BI is unlike any other enterprise software or application (like CRM or ERP), because:
- It is difficult to define requirements up front. Business users may only know 20% or less of the reporting and analytical needs they will have in a few months.
- It is difficult to put down BI requirements on paper in a standard requirements definition format. Business users often say, “Show me what it’ll look like and I’ll tell you what I want or don’t want.”
- The “build it and they will come” baseball field analogy directly applies to BI. Only when business users see a report that they can touch and feel will the real requirements start pouring in.
- As much as we like to be proactive, BI applications and platforms have to be very reactive, because change is the only constant in the world of BI.
These are the main reasons why one can’t compare BI with CRM (or any other enterprise app) and make a conclusion that cloud BI is a panacea to all BI challenges. Having said that, the move to the cloud is happening; it’s just happening much more slowly than in any other enterprise software segment. Why? In addition to the reasons stated above, most of the enterprise data (from CRM, ERP and all other apps) has to get to the cloud first! Then BI will surely follow. As of this moment, here’s the state of the market:
- There are hundreds (or probably thousands) of domain- or industry-specific cloud-based BI applications. These are not BI platforms and are mostly used by small businesses or departments within large enterprises which have highly commoditized functions (procurement or HR analytics, for example). We expect these cloud-based applications to continue to pop up all over the place.
- Leading BI vendors like Actuate, SAP, and MicroStrategy are offering cloud-based versions of their on-premises platforms. While these are indeed BI development platforms, they provide a subset of these vendors’ full on-premises functionality (some more, some less). We expect more leading BI vendors to enter this space and for the BI PaaS functionality to mature in two to three years. Why so late and so long? Re-architecting a platform natively build for single client tenancy for multitenancy that cloud based SaaS and PaaS require is not an easy task. The best example demonstrating this are all admin functions. In a single tenancy platform an adimistrator "rules" the entire environment, while in the multi tenant environment a platform has to have an instance administrator and an "uber" administrator. This significantly affects not just administration, but security, provisioning and many other capabilities
- Startups like GoodData, Birst, Bime, and Alteryx will continue to enhance their functionality and narrow the gap between their offerings and the offerings of the leading BI vendors. This is a perilous road, though, and only a few will survive — we’ve seen plenty of failures in this segment already.
I hope this post did not sound too negative about the cloud BI market; it is indeed one of the top current and future BI trends that we predicted and currently track. I only intend to separate fiction from reality and help our clients make more informed “to cloud or not to cloud BI” decisions.
As always, all comments are more than welcome.
Search Forrester's Blogs
Forrester Insights for iPhone
Key research and data points when and where you need them »
Lead BT Transformation
Develop customer-obsessed strategies to drive growth »
Forrester's CX Index
Predict how actions to improve CX will affect revenue performance.
Measure the customer experiences that matter most »
- Anjali Yakkundi (31)
- Art Schoeller (2)
- Boris Evelson (161)
- Claire Schooley (2)
- Clay Richardson (1)
- Diego Lo Giudice (23)
- Dominique Whittaker (4)
- Duncan Jones (1)
- Gene Cao (1)
- George Lawrie (19)
- Holger Kisker (38)
- Ian Jacobs (10)
- Jeffrey Hammond (31)
- Jennifer Belissent, Ph.D. (2)
- John Bruno (1)
- John M. Wargo (11)
- John R. Rymer (45)
- Jost Hoppermann (33)
- Kate Leggett (146)
- Kurt Bittner (4)
- Kyle McNabb (12)
- Leonard Couture (1)
- Liz Herbert (3)
- Margo Visitacion (9)
- Mark Grannan (11)
- Martha Bennett (13)
- Michael Barnes (21)
- Michael Facemire (18)
- Mike Gualtieri (118)
- Nick Barber (10)
- Noel Yuhanna (10)
- Paul Hamerman (2)
- Philipp Karcher (1)
- Randy Heffner (15)
- Rowan Curran (2)
- Stephen Powers (23)
- Ted Schadler (25)