Are you a wondering how to get the most out of your SAP investment? Are you trying to figure out SAP’s long-term strategy? Do you want to make better use of SAP’s BI platforms and services ecosystem? If so you have a lot in common with other Forrester clients.
Forrester has answered hundreds of inquiries about SAP in the last year or so. And the volume of inquiries is increasing as our clients roll out SAP solutions to the furthest reaches of their global domains and use white space partners to cover an ever broader footprint.
At the same time, you ask us questions about deployment best practices, SAP’s pricing and licensing, its middleware approach, the strategic significance of its acquisitions, and the implications of changes in the top management team.
We decided to pull together all our experts to discuss their SAP research in a series of jam sessions (teleconferences) to help you make the best informed decisions with the minimum investment of time. Each teleconference looks at a specific dilemma for which we’ve fielded client inquiries.
If you are an Application Development & Program Management professional, or a CIOs, or a Business Process & Applications professional looking for guidance then there is a session in this week long series of one hour Webex sessions just for you. Or if your dilemmas cover all the topics you can attend all the sessions or download them later and follow at your leisure.
We’ll start by looking at SAP’s Product Strategy. We will explain just how SAP's product portfolios and technology strategy for enterprises and SMB clients is evolving. You will hear Forrester analysts debate the merits of SAP's product offerings, technology architecture innovations, and its likely success in providing software-as-a-service (SaaS) offerings.
Over the last 25 years in the business I heard my share of BI horror stories: “we have over 20 different BI tools”, or “we have a few thousand reports in our BI application”. BI is very much a self fulfilling prophecy – “build it, and they will come”. As we popularize BI, and as technology becomes more scalable, more stable, more function rich and user-friendly - BI spreads like wildfire and often becomes uncontrollable.
I can’t help but to quote from one of my favorite books by a British author Jerome K. Jerome “Three Men In A Boat, To Say Nothing Of A Dog”. One of the reasons I love the book, in addition to it being one of the funniest novels I ever read, is that I can almost always find a very relevant humorous quote to just about any life or business situation. At the beginning of the book three British gentlemen are planning a vacation on a river boat. As they plan for how much food and supplies they should carry, they quickly realize that there isn’t a boat big enough to fit the dimensions of the Thames river to carry all that junk.
“How they pile the poor little craft mast-high with fine clothes and big houses; with useless servants, and a host of swell friends that do not care twopence for them, and that they do not care three ha'pence for; with expensive entertainments that nobody enjoys, with formalities and fashions, with pretence and ostentation, and with - oh, heaviest, maddest lumber of all! - the dread of what will my neighbour think, with luxuries that only cloy, with pleasures that bore, with empty show that, like the criminal's iron crown of yore, makes to bleed and swoon the aching head that wears it!
Since publishing the market overview for the lead management automation space, I have been pleasantly surprised by the number of current and emerging vendors who got in touch wanting to talk further, learn more about my research, and (well, frankly) “influence” the analyst.
If you're a typical CEO, you're probably wondering what the hell all of these social technologies like Twitter are useful for. A question I get from a lot of leaders is: "How can we use social to make money?" Actually, the more frequent question is: "Why do these social things have such stupid names?"
Many CEOs only encounter the downside of social -- the disparaging YouTube video or the irrational Twitter attack on the company's brand or products. I've got personal experience here -- Forrester was recently the subject of a small Twitter tantrum based on inaccurate information. So it's easy to understand the skepticism and the questioning.
Trust me though -- social networks contain utility that your company will use to get ahead. I'll be posting some examples in the near future.
But for the moment, let's stay focused on one specific way that you will use social to make money -- something I call Social Sigma. While Six Sigma is a discipline for improving products through better process, Social Sigma is about improving products through social feedback. It's about using social networks as a means for customers (and potential customers) to continually critique, analyze, and offer suggestions about your products. It's a powerful tool for continually increasing the value of what you make.
Analytics gets a lot of attention these days. And it should. Additional business insight is really important to improve the customer experience and more and more to understand the on-line experience. And predictive analytics is really cool. But these exciting areas tell only part of the story. Analytics can also help improve content management and transactional business processes. The infrastructure and plumbing that keeps most companies afloat. Analytics can help consolidate archives, improve capture, classify documents, improve business processes, and enhance the value of packaged apps. In short, there is a strong analytics play just for better content management and process improvement but poorly deeloped use cases and better buzz in other areas tamps down the potential. But we shall hear more about this soon.
Machine to machine (M2M) technologies are not new, but recently a wide range of service providers, device manufacturers, application developers, system integrators, and other companies are developing products, establishing business models, and implementing strategies to stake their claim in the M2M market. A quick search of M2M press releases during the past six months resulted in over 100 announcements on the topic of machine to machine or M2M.
Larry Ellison angrily dismisses suggestions that Oracle’s business will be harmed by the rise of cloud computing. Many misinterpret Ellison’s remarks to mean he (and by extension Oracle) thinks cloud computing is a dumb idea that Oracle won’t pursue. We are now learning that Oracle does, in fact, intend to pursue cloud computing. But we're also learning that Oracle's strategy is more limited than those of IBM and Microsoft, its large-vendor competitors.
Americans spend a lot of time playing games, and not only the young. Our Technographics data show that all generations spend about 7 hours a week playing PC games, but younger consumers top this up with playing games on consoles, handhelds, and mobile phones. Generation Y spends close to 20 hours a week playing games!
Hello everyone, welcome to my first blog post as a Forrester Analyst.
I joined Forrester in late January after nearly six years at Alterian, an Enterprise Marketing software company, where I was Vice President of Platform Strategy, supporting Product Marketing, Analyst Relations and Corporate Development.
First and foremost, I’m thrilled to be on board at Forrester and I’m looking forward to getting to work! Many thanks to the Forrester team and our clients who have been so supportive.
Jean-Jacques Rousseau wrote, man is born free and is everywhere in chains. So too Enterprise app deployments are conceived as self contained yet everywhere are integrated with legacy and complementary apps.
My colleague Ken Vollmer and I are looking at packaged apps integration best practices and how these might change as some apps move to the cloud. We are asking:
What kind of middleware do you use?
How do you help process owners to assemble (composite) processes that have transactional integrity?
What do you do about the conflicting data models of apps from different stables – for example yours and those of a third party or perhaps in –house?
How far can so called “canonical” data models and meta data help to overcome such problems?
If you have experience and an opinion about what constitute the top three best practices in such packaged apps integration, or if you can warn about the three most egregious pitfalls to avoid we would love to talk with you.