February 2010

My First Forrester Report: Tapping The Entire Online Peer Influence Pyramid

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Three months after starting at Forrester, my first report for Interactive Marketers is now available: Tapping The Entire Online Peer Influence Pyramid.  Forrester subscribers can click the link to read about the Peer Influence Pyramid, which describes and shares recommendations about three types of online influencers: Social Broadcasters, Mass Influencers and Potential Influencers.  

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Trends in ETL Adoption

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In this podcast, Rob discusses some of the preliminary findings from Forrester’s November 2009 Global ETL Online Survey. He also directs listeners to more of Forrester’s ETL research.

http://www.forrester.com/role_based/images/author/imported/forresterDotCom/Podcasts/BPA/rob%20karel%202-26-10%20mixed.mp3

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All your authentication are belong to us

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In my childhood, many of the bad guys in TV shows were corporate overlords. Tweed jackets and dark turtlenecks were the apparel of choice. They were ridiculously unctuous, spouting obliquely phrased threats like, "This Mannix fellow has become...Inconvenient." 

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Exciting times in Web Intelligence!

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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. 

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A missed opportunity for user-centered thinking

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I happened to notice an article yesterday on nytimes.com titled Choosing a Marketing Plan: Traditional or Social Media. It's a case study on E. P. Carrillo, a cigar manufacturer and distributor run by the Perez-Carrillo family. It reminded me of a conversation I had with an agency I visited a few months ago. The article begins by outlining the problem:

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MOG to Launch in the UK: First Take

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US music subscription service MOG is set to launch in the UKby the end of the 2nd quarter off the back of a 2nd round of investment totaling $10 million.

 

As I posted earlier in the month, the music subscriptions space is going through an important period of transition.  It took much of the last decade to realize that the 9.99 premium rentals model was only ever going to appeal to a niche of music aficionados, and though global premium music subscribers total 8.25 million, we’re still no closer to mass market appeal for premium subscriptions.  And yet we have a host of new entrants including, MOG, Spotify Premium, We7 Premium, Sky Songs, Virgin Media etc etc.  

So what’s changed?  Well, both a little and a lot.

The niche audience is getting bigger.  Firstly, the appeal for premium subscriptions is still a niche addressable audience of tech savvy music aficionados, but that audience is growing. It’s still far from mass market (and never will be) but it’s a more attractively scaled base now.  A few million per major music market perhaps. For a company like MOG that’s plenty enough addressable market. Also improvements in consumer technology and connectivity make it easier to deliver a high quality on-the-go cloud based experience, a crucial asset.

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A Bloom Box Powering The Data Center? Hold Your Horses!

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If you are anything like us at Forrester, you probably got swept up in all the media coverage of the Bloom Box -- the clean energy fuel cell that is supposedly going to save us from all our energy woes. The technology is certainly impressive and will hopefully lead to significantly lower energy bills and carbon emissions down the road. And a number of Fortune 100 companies have bought into the Bloom Box, including eBay, Coca-Cola, Bank of America, FedEx, and Wal-Mart.

But is the Bloom Box suitable for the data center? No, for now. And here are two major reasons why…

First, the Bloom Box falls short of typical data center uptime expectations. Despite what was touted on 60 minutes, it turns out that Google has NOT in fact been using a Bloom Box to power one of their data centers, but instead has been using it to help power a portion of their Mountain View campus. In fact, Google reported that the Bloom Box only provided 98% uptime which would not acceptable for even a Tier 1 data center. So unless you plan on using your backup generators a lot more frequently, the notion of weaning your data center of the electricity grid is not foreseeable.

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Next gen of metadata driven BI apps

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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 sourcing
  • Data extraction
  • Data integration
  • Data cleansing
  • Data aggregation
  • Data modeling (star schemas, cubes)
  • Metrics management
  • Queries
  • Reports
  • Dashboards
  • Alerts
  • 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)

The bottom line here is that these 2nd gen metadata driven BI apps actually generate apps (vs SQL).

I am currently looking at the following vendors

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Analyst Comments from SAP Insider Event 2010

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I attended SAP Insider’s five-part conference -- covering Logistics & Supply Chain Management, PLM, Manufacturing, CRM, and Procurement & Materials Management -- and got a chance to catch up with both SAP PLM customers and the SAP executive team on the latest SAP PLM strategy and roadmap. Since 2008, the SAP PLM team has been positioning their myriad stable of PLM software offerings (e.g. DMS, BOM management, cProjects, RPM, the largely defunct iPPE and PD tools, etc.) under new “end-to-end” process themes (e.g.

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Enterprise packaged apps integration

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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.

I’m looking forward to hearing from you at glawrie@forrester.com