EMC and FatWire Finally Get Together (though perhaps not in the way you expected)

Stephen Powers

EMC announced this morning that it has acquired a stake in Web content management vendor FatWire, one of the remaining standalone major WCM players in the market. With this announcement, EMC has finally admitted what’s been obvious for some time: that its current Documentum Web Publisher product simply doesn’t have the ability to become a marketing tool for ebusiness and marketing teams to achieve business goals in the online channel.

What’s interesting about this announcement is what didn’t happen – the expected sale of FatWire to EMC, which many have speculated about for the past year or so. Now, EMC won’t fully own its prescribed WCM product, and will instead rely on FatWire for that component of its content management suite. FatWire, a leader in Forrester’s last WCM Wave evaluation, has strong customer engagement functionality, better than the Documentum Web Publisher offering. With this deal, FatWire gets an improved distribution platform for its WCM, and opportunities for further integration with EMC products such as its digital asset management offering (which it will also resell).

What’s also interesting is that this marks an end to EMC’s dream of a unified repository for all enterprise content, since FatWire products have their own repository. Many of Forrester’s clients have known for a while that this dream simply wasn’t reality, due to organizational issues as well as technological ones.

EMC will likely make an announcement about sunsetting its current Documentum Web Publisher later this year, though support will certainly continue for several years through current maintenance agreements and an extended paid support period. Right now, if you are a current Web Publisher customer, you’ll have to decide:

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SAP's CEO Resigns

George Lawrie

Forrester had heard rumors of restructuring at SAP before the announcement on February 7th that SAP’s CEO Leo Apotheker has resigned with immediate effect.

The return to joint CEOs with Jim Haggemann-Snabe running product and Bill McDermott running sales is likely to help in focusing on improvements in the field to restore SAP's sales fortunes in a tough market.

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Forrester Databyte: Application Platform Adoption Trends

Jeffrey Hammond

As an analyst at Forrester I always look forward to December - not because it's the end of the year or that I have the balance of my vacation days to use up (best laid plans...); December is when we usually get a fresh batch of data from Forrester's annual Enterprise And SMB Software Survey. Each year our team gets to place a few questions into this comprehensive questionnaire, and IT decision makers who have organizational responsibility for custom software development give us some insight into what their shops are doing.

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Jump On The iPad Before It Is Too Late: 3 Reasons To Develop An iPad App Now

Mike Gualtieri

Finally, Apple’s latest game-changing, must-have device is ripe - the iPad. The iPad is not a new idea. Tablet PCs were introduced years ago but failed to take off. More recently, the Amazon Kindle proved that a simpler form of the tablet has legs. But what Apple does brilliantly is that they do it better.

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Peace, love, and the IBM System 360s

John R. Rymer

"Our vision for 2010 is the same as IBM's for the year 1960." So said Oracle's Larry Ellison from the stage at today's event to celebrate his company's acquisition of Sun Microsystems. With Sun in hand, Oracle will now take us back to the simple virtues of mainframes 50 years ago. Updated, these virtues are:

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Pros and cons of using a vendor provided analytical data model in your BI implementation

Boris Evelson

The following question comes from many of our clients: what are some of the advantages and risks of implementing a vendor provided analytical logical data model at the start of any Business Intelligence, Data Warehousing or other Information Management initiatives? Some quick thoughts on pros and cons:

Pros:

  • Leverage vendor knowledge from prior experience and other customers
  • May fill in the gaps in enterprise domain knowledge
  • Best if your IT dept does not have experienced data modelers 
  • May sometimes serve as a project, initiative, solution accelerator
  • May sometimes break through a stalemate between stakeholders failing to agree on metrics, definitions

Cons

 

  • May sometimes require more customization effort, than building a model from scratch
  • May create difference of opinion arguments and potential road blocks from your own experienced data modelers
  • May reduce competitive advantage of business intelligence and analytics (since competitors may be using the same model)
  • Goes against “agile” BI principles that call for small, quick, tangible deliverables
  • Goes against top down performance management design and modeling best practices, where one does not start with a logical data model but rather
    • Defines departmental, line of business strategies  
    • Links goals and objectives needed to fulfill these strategies  
    • Defines metrics needed to measure the progress against goals and objectives  
    • Defines strategic, tactical and operational decisions that need to be made based on metrics
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Progress Software Builds Its Position An Enterprise Platform Provider

John R. Rymer

With its acquisition of BPM-software leader Savvion, Progress Software has taken a step closer to providing a full line of enterprise middleware. Progress has operated as a supermarket of middleware brands addressing mostly specialized needs, but now is creating broader enterprise application platforms out of its separate middleware brands [Figure 1.].

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BI In The Cloud? Yes, And On The Ground, Too

Boris Evelson

Slowly but surely, with lots of criticism and skepticism, the business intelligence (BI) software-as-a-service (SaaS) market is gaining ground. It's a road full of peril — at least two BI SaaS startups have failed this year — but what software market segment has not seen its share of failures? Although I do not see a stampede to replace traditional BI applications with SaaS alternatives in the near future, BI SaaS does have a few legitimate use cases even today, such as complementary BI, in coexistence with traditional BI, BI workspaces, and BI for small and some midsize businesses. 

In our latest BI SaaS research report we recommend the following structured approach to see if BI SaaS is right for you and if you are ready for BI SaaS:

  1. Map your BI requirements and IT culture to one of five BI SaaS use cases
  2. Evaluate and consider scenarios where BI SaaS may be a right or wrong fit for you
  3. Select the BI SaaS vendor that fits your business, technical, and operational requirements, including your tolerance for risk

First we identified 5 following BI SaaS use cases.

  1. Coexistence case: on-premises BI complemented with SaaS BI in enterprises
  2. SaaS-centric case in enterprises: main BI application in enterprises committed to SaaS
  3. SaaS-centric case in midmarket: main BI application in midsized businesses
  4. Elasticity case: BI for companies with strong variations in activity from season to season
  5. Power user flexibility case: BI workspaces are often considered necessary by power analysts
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Forrester Databyte: SCM Tool Adoption

Jeffrey Hammond

Last week Dr. Dobb's published an article I penned in December on "What Developers Think". I won't rehash the thrust of that piece here other than to reaffirm the growing trend of technology populism in development shops - where tech-savvy workers make their own decisions about what technologies to use.

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Bottom Up And Top Down Approaches To Estimating Costs For A Single BI Report

Boris Evelson

How much does it cost to produce a single BI report? Just like typical answers to most other typical questions, the only real answer is “it depends”. But let’s build a few scenarios:

Scenario 1: Services only. Bottom up, ABC approach.

Assumptions.

 

  • Medium complexity report. Two data sources. 4 way join. 3 facts by 5 dimensions. Prompting, filtering, sorting ranking on most of the columns. Some conditional formatting. No data model changes.
  • Specifications and design – 2 person days. Development and testing - 1 person day. UAT – 1 person day.
  • Loaded salary for an FTE $120,000/yr or about ~$460/day.
  • Outside contractor $800/day.

Cost of 1 BI report: $1,840 if done by 2 FTEs or $2,520if done by 1 FTE (end user) and 1 outside contractor (developer). Sounds inexpensive? Wait.

 

Scenario 2. Top down. BI software and services:

Assumptions:

  • Average BI software deal per department (as per the latest BI Wave numbers) - $150,000
  • 50% of the software cost is attributable to canned reports, the rest is allocated to ad-hoc queries, and other forms of ad-hoc analysis and exploration.
  • Average cost of effort and services - $5 per every $1 spent on software (anecdotal evidence)
  • Average number of reports per small department - 100 (anecdotal evidence)
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