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.
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!
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.
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.
We all struggle with complexity of designing, building and maintaining BI apps. Why? Among many other reasons, the simplest one is that there's just too many components involved. Just to name a few
Data modeling (star schemas, cubes)
Delivery (portals, schedulers, emails, etc)
For years there were many attempts to automate some of these steps via metadata. So rather than than coding source to target SQL transformations or DDL for DW generation vendors came up with, what I know call "1st generation" metadata driven BI tools, such as
ETL tools where metadata auto-generated SQL scripts for data extraction, loading and transformation
BI tools where metadata auto-generated SQL for queries
Data modeling tools where metadata auto-generated logical data models and DDL for physical data models
But, the "2nd generation" metadata driven BI apps (note apps vs tools now) do much more. For example, they:
Use metadata to generate multi vendor apps (like BalancedInsight, Kalido and BIReady do), and having a single place where changes can be made
Use metadata to generate all three (ETL SQL, BI SQL, DW DDL, like Cognos, Wherescape, BIReady do), and having a single place where changes to all 3 can be made
Using metadata to generate report layouts (like Cognos does)
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.
After the recent board changes the strategy will change too
After the recent board changes at SAP the message we could read in most news was like ‘new board – old strategy’. Along with the board changes SAP did not announce (yet) any significant strategic changes. But what good is it to change the board and leave everything else as is?
The recent SAP board changes are just the visible tip of the iceberg of much deeper changes SAP will and has to go through to renew itself as a leading IT vendor. Below are 10 predictions for changes in SAP’s strategic direction I expect within the next 10+ months:
1. More SAP Board Changes Will Come
Additional board changes will further strengthen the product & technology focus and competence within the SAP board. See also Forrester’s blog on the recent SAP board changes: SAP CEO Resigns – Long Live The Co-CEOs
2. Business ByDesign Will Get Back Into SAP’s Strategic Center
Business ByDesign will become again the corner stone of SAP’s growth strategy and the successful introduction will mark a ‘make it or break it’ milestone for SAP.
3. SAP Announces The Next-Generation ERP
SAP will announce a next-generation ERP solution to regain leadership in its core business area and it will likely be based on the ByDesign platform.
4. SAP Changes Its Cloud Strategy
SAP will rework its whole On-Demand strategy and will unify and align all components based on the ByDesign platform. See also Forrester’s recent blog on SAP’s On-Demand strategy: SAP Is Skydiving Into The Clouds.
The mobile industry is in full swing. Its center of gravity is shifting from hardware to software, from voice to data and services, and from traditional telecom stakeholders to new entrants.
Google’s “mobile first” approach and the shadow that Apple cast over the show are forcing mobile operators in particular to redefine their position in the value chain. The traditional focus on infrastructure (LTE..) and this year’s debate on operators’ congested networks need to be put in the context of nontelecom players’ willingness to monetize mobile. Mobile World Congress is a unique opportunity to witness how mobile is reinventing itself and to see how it will become even more disruptive in consumers' daily lives in the future.
Our latest featured podcast is Clay Richardson's "Challenges For Process Professionals Leading Process Initiatives In 2010".
In this podcast, BP&A Senior Analyst Clay Richardson walks through five key challenges that process professionals need to address to be successful with business process management in 2010. Topics include lean principles and lean thinking, effectively connecting process initiatives with value drivers, the importance of data, and process based management.
We look forward to your questions and comments.
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During a recent internal jam session, Connie Moore and I were jamming on big trends we see coming together in the BPM space. Much of our discussion centered on social BPM and process professionals wresting control from IT over their process improvement initiatives. By the end of the jam session, Connie and I formed a stark picture of business process professionals and business users in open revolt against IT – pitchforks in hand – demanding greater collaboration and inclusion across all phases of the process lifecycle.