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Archive for December, 2009

by: Bsomich
30  Dec  2009

2009 BI Survey: Project Results Leave Much to be Desired.

Business Intelligence is a must for any organization, and projects to improve this area will likely account for a huge portion of the company budget in 2010.  Still, the success rate of these projects leaves much to be desired. According to a recent article in InformationWeek, the latest survey by BI Scorecard found the success rates of BI deployments largely unchanged from the last survey in 2007.   2009 results indicated that just 21 percent of respondents rated their BI deployments very successful, and the number of respondents who said BI had a significant impact on their organizations fell 7 percent from 2007. 

With all of the right technologies available to organizations today, how can we help managers make more informed decisions with respect to BI initiatives?

Category: Information Development
1 Comment »

by: Bsomich
28  Dec  2009

Weekly IM Update.

 
 
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A Blueprint for Success: The Five Phases of MIKE2.0  

The MIKE2.0 Methodology has abandoned the traditional linear or waterfall approach to systems development, and has adopted an iterative approach called continuous implementation. This approach divides the development and rollout of the entire system into a series of implementation cycles, which identify and prioritize the portions of the system that can be constructed and rolled out before the entire system is complete.
Each cycle includes a feedback step to evaluate and prioritize the implementation results, strategy changes and improvement requests on the future implementation cycles.
Following this approach, there are 5 phases to the MIKE2.0 Methodology: 

Feel free to check it out when you have a moment- we welcome your contributions!  

 

Sincerely,

MIKE2.0 Community  

 
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This Week’s Food for Thought:

The Top 10 Trends in Analytics, Business Intelligence & Performance Management 

It’s the time of year for trends lists, and Enterprise Irregulars has posted their top 10 trends list for analytics, business intelligence and performance management.

Read complete post.

Best of 2009: 12 Essential (and Free) Enterprise2.0 Resources

Thinking about what to read during the holidays? Well, there is no need to spend any more time on that – here is your reading list.

Read complete post.  

The Mythology of Data Governance and Data Stewardship

The quest for advanced data management has given rise to the concept of data stewardship and data governance. However, the chaos and confusion over the roles between business and Information Technology continues to take place. Customer data integration (CDI) and master data management (MDM) are two important initiatives which promise to relieve business experts from the labor of defining and maintaining customer data.
Read complete post.

IBM Study: Business Analytics and Optimization

IBM recently released a new report on the progress companies are making adopting business analytics and optimization. The paper is called “Smarter decisions for optimized performance” (love it) and focuses on how companies are using analytics and optimization to “breakaway” – a sports analogy such as where a cyclist breaks away from the pack not just by pedaling harder, but thanks to a focused and thoughtful team effort that enables them to capitalize on opportunities and create some separation.
Read complete post.

 

Category: Information Development
No Comments »

by: Desmond.brennan
26  Dec  2009

Google: “The meaning of open”

Whilst letting my Christmas dinner settle I took refuge in the study in my sister’s house and found an excellent blog post from Google that I think is essential reading for anyone working with information these days. Indeed the insights in it are also relevant to social sciences.

For your convenience I include some excerpts below (about 10% of total) but I would encourage all to read the full post.
The meaning of open Jonathan Rosenberg, Senior Vice President, Product Management Google

…After all, in our industry there is no clear definition of what open really means….

Open systems win

Open systems are just the opposite. They are competitive and far more dynamic. In an open system, a competitive advantage doesn’t derive from locking in customers, but rather from understanding the fast-moving system better than anyone else and using that knowledge to generate better, more innovative products. The successful company in an open system is both a fast innovator and a thought leader; the brand value of thought leadership attracts customers and then fast innovation keeps them…

Open Technology

The definition of open starts with the technologies upon which the Internet was founded: open standards and open source software….

Open Standards

Networks have always depended on standards to flourish. When railroad tracks were first being laid across the U.S. in the early 19th century, there were seven different standards for track width. The network didn’t flourish and expand west until the different railway companies agreed upon a standard width of 4′ 8.5″….

Open Source

Most of those apps will be built on open source software, a phenomenon responsible for the web’s explosive growth in the past 15 years.

Open Information

The foundation of open standards and open source has led to a web where massive amounts of personal information — photos, contacts, updates — are regularly uploaded….

Historically, new information technologies have often enabled new forms of commerce. For example, when traders in the Mediterranean region circa 3000 BC invented seals (called bullae) to ensure that their shipments reached their destinations tamper-free, they transformed commerce from local to long…

Value

First and foremost, we need to make products that are valuable to users. In many cases, we can make our products even better if we know more information about the user, but privacy concerns can arise if people don’t understand what value they are getting in return for their information. Explain that value to them, however, and they will often agree to the transaction…

Transparency

Next, we need to make it easy for users to find out what information we gather and store about them across all of our products. We recently took a big step in this direction with the launch of the Google Dashboard, which is a single place where users can see what personal data is held by each Google product (covering more than 20 products including Gmail, YouTube, and Search) and control their personal settings…

Control

Finally, we must always give control to the user. If we have information about a user, as with IBA, it should be easy for the user to delete that information and opt-out. If they use our products and store content with us, it’s their content, not ours. They should be able to export it or delete it at any time, at no cost, and as easily as possible.
I really enjoyed the above article and think it is a very good start on properly defining open. One of my biggest takeaways is that being open forces you to stay innovating: you are obliged to come up with new & better product than your own… as else your competitors will do so, using your own open product !!

I think it is relevant to us in three ways:

  • MIKE2.0 itself is of course an open source methodology, and much of Google’s message applies either directly or analogously to it. We’ve over 700 articles made public, an integrated content repository andmuch more.
  • Open Standards: somewhat related to Methodology, we are obviously interested in Open Standards.  Areas such as the Common Warehouse Metamodel and the eXtensible Business Reporting Languageremain underexploited. Also within companies Service Oriented Architecture is a form of open standard that can be especially relevant to information management (e.g. Master Data Services etc)
  • Information Governance: too often in organisations people try to keep information secret & closed. Line manager hoard their information in silos ! Even when it is in some form of Data Warehouse the required metadata is incomplete and Data Stewards aren’t available to aid with discovery and guidance. Thought leadership like the above should aid in dissolving this attitude

Overall I’m excited to see a company like Google share their thoughts on “openness”. And seeing that is it Christmas I’ll end by pointing you towards -The Data Liberation Front – Google’s own inhouse team of information terrorists , whose goal is to ensure that you can liberate your data from Google, should you choose to leave.  I’m not aware of other companies that sponsor their own opposition :-)

Category: Information Development
No Comments »

by: Bsomich
22  Dec  2009

Profile Spotlight: Bryn Davies

brynBryn Davies

Bryn Davies has over 23 years of broad industry experience in IT and in particular Data Management. In addition to designing, building and managing one of the first data warehouses in SA, he spent 14 years with Sybase South Africa as Technical Director and later Regional Manager for the Cape Town operation. During this time, he was involved in all aspects of Business Intelligence, data management, enterprise application and data integration, and data and information quality.

He was also product and solutions manager for leading data quality software solutions, and managed numerous consulting exercises at SA companies for data quality, data integration and BI.

Subsequently Bryn co-founded InfoBlueprint and he is currently Managing Director of the company, which is dedicated to providing leading professional services in the fields of Information Management and Data Quality. He has presented and authored a number of articles on the subject of data quality.

Category: Information Development, Member Profiles
No Comments »

by: Bsomich
19  Dec  2009

Weekly IM Update.

 
 
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What Makes Us Unique?

There are lots of great community sites for Information Management. A question that’s often asked is Why would I go to MIKE2.0? What makes MIKE2.0 unique?

Information Development

By creating a standard for Information Development through a common competency. This is really what the IM community needs and due to the complexity of the issue, a complete framework is needed solve the problem. That’s our primary goal with MIKE2.0 and something no other consulting firm provides. We’re also using this approach as an organizing framework for open source technology.

Integrated Content Repository

Through the Integrated Content Repository, organizations create mashups to the MIKE2.0 standard and the best assets on the web. We call this approach Governance 2.0 and it’s a solution we can build for our clients.

Open Methodology Framework

As far as we know, MIKE2.0 is the world’s first open and collaborative methodology. It will be an interesting challenge for our community to see if we can actually build on this approach, which sits between a Wikipedia-style model and something you would see with code.
From a community standpoint, we think the approach is working. Every day we’re seeing more visitors to MIKE2.0 and getting positive feedback. We still have a long way to go, and your contributions are much appreciated! 

Sincerely,

MIKE2.0 Community  

 
Contribute to Mike:

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This Week’s Food for Thought:

Open Source is the Smart Choice for Business Intelligence  

The impact of the financial crisis has been to force companies to cut costs while also increasing competition for fewer customers. Against this backdrop, analyst Gartner has reported that interest in open source alternatives to traditional proprietary business intelligence (BI) tools has been steadily growing.  

Read the complete post.
What Does it Take to Truly “Get” Information Management?

More and more, companies are realizing the benefits of using intelligence data and analytics to make sound operational decisions- although few fully understand what it takes to get there.   It’s easy to say “We will analyze all data and come to the correct conclusion” but what if that data is unorganized?  Misplaced?  Nonexistent?

 A recent report by IBM titled “Smarter Decisions for Optimized Importance” notes three management characteristics of organizations who tend to perform well with respect to information management:

Challenging – Ability and willingness to venture or challenge the status quo
Anticipating – Ability to predict and prepare for future
Empowering – Ability to analyze, decide and act in a quick timeframe

Do you agree?  In your opinion, what are the characteristics of an organization that truly “gets” information management?

Comments at complete post.  

Master Data Management 2010 – Focus On Outcomes Drives Push For Value

Conversations with 31 leading edge organizations seeking business transformation highlight shifts in the MDM trends of the past.  Organizations awash in data need to move beyond the clutter and get to the information.  More data does not equate to more information.  In order to make sense, MDM initiatives now move to align with a new set of focus – business transformation and optimization. 
Read the complete post.

 

 

 

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Category: Information Development
No Comments »

by: Bsomich
16  Dec  2009

What Does it Take to Optimize Information Management?

More and more, companies are realizing the benefits of using intelligence data and analytics to make sound operational decisions- although few fully understand what it takes to get there.   It’s easy to say “We will analyze all data and come to the correct conclusion” but what if that data is unorganized?  Misplaced?  Nonexistent?

 A recent report by IBM titled “Smarter Decisions for Optimized Performance” notes three management characteristics of organizations who tend to perform well with respect to information management:

Challenging – Ability and willingness to venture or challenge the status quo
Anticipating – Ability to predict and prepare for future
Empowering – Ability to analyze, decide and act in a quick timeframe

Do you agree?  In your opinion, what are the characteristics of an organization that truly “gets” information management?

Category: Information Development
3 Comments »

by: Bsomich
15  Dec  2009

Profile Spotlight: Nathan Jones

njones_4754Nathan Jones

Nathan Jones is a Manager in Deloitte’s Information Management & Integration practice in London, specialising in information quality and enterprise data management.

He has focused on operational business intelligence, data management, data quality and data warehousing for nearly 10 years, and worked with clients from blue chip energy and finance firms through SME’s to large and small public sector organisations.

Nathan’s Blog 

Category: Information Development, Member Profiles
No Comments »

by: Bsomich
12  Dec  2009

Weekly IM Update.

 
 
 Untitled-1.jpg

The Five Phases of MIKE2.0  

The MIKE2.0 Methodology has abandoned the traditional linear or waterfall approach to systems development, and has adopted an iterative approach called continuous implementation. This approach divides the development and rollout of the entire system into a series of implementation cycles, which identify and prioritize the portions of the system that can be constructed and rolled out before the entire system is complete. Each cycle also includes a feedback step to evaluate and prioritize the implementation results, strategy changes and improvement requests on the future implementation cycles.

Following this approach, there are 5 phases to the MIKE2.0 Methodology:

Feel free to check it out when you have a moment- we’re always open to new ideas. 

We look forward to collaborating with you!

Sincerely,

MIKE2.0 Community     

 
Contribute to Mike:

Start a new article, help with articles under construction or look for other ways to contribute.

Update your personal profile to advertise yourself to the community and interact with other members.

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Login
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Join Us on
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Follow Us on
43 copy.jpg

 Fan Us on

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Did You Know?
All content on MIKE2.0 and any contributions you make are published under the Creative Commons license. This allows you free re-use of our content as long as you add a brief reference back to us.

This Week’s Food for Thought:

If information is the new accounting who is the new accountant?

Following on from Rob’s excellent article last year on the same topic (article here, forum discussion here) I’d like to follow up and pose the question: Have we got practical traction on this issue?

From my experience, clients have wanted guidance as to attendant organisational changes required to make IM a core competency in their companies. We as IM experts need to give leadership as to where we see this sitting, we shouldn’t tell clients what to do, but we should come out with a starting point for discussion. 

Read the complete post.
Is a data warehouse necessary for good data management?

Over the past five or even ten years the field has broadened out to apply standardised approaches to data management.  The scope of this includes data quality, master data management, data integration, linking metadata to taxonomies and so on.  With a reach and impact that touches every aspect of the organisation, why is it that so many people in the field still come from a data warehousing background?

Comments at complete post.  

Deploying a Semantic Approach Across the Enterprise.

The semantics approach to reporting enterprise data can be beneficial both for Intranet content and for business data. For the Intranet, it can create a usable dashboard to report on linkages between static content such as wikis, discussion forums, company press and many other internal information sources.   For business data, it can create semantic linkages across departmental silos and house meaningful decision making information in a central location. 

The benefits of deploying a semantic approach for enterprise data manipluation are well-known, but the larger question is, how can we do it?   Do you have any experience in this area and can you offer assistance to organizations looking to achieve this?
Read the complete post.

 

 

 

Forward to a Friend!
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Questions?
If you have any questions, please email us at mike2@openmethodology.org.

 

Category: Information Development
No Comments »

by: Robert.hillard
09  Dec  2009

Is a data warehouse necessary for good data management?

Our profession is not a large one globally.  In fact, a couple of years ago I did a back-of-the-envelope calculation that there are about 50,000 to 100,000 people around the world who would regard themselves as primarily working in data or information management.  We worked this out by estimating that to specialise you would have to be working in one of the 5,000 largest organisations (private and government) and a reasonably constrained number of professional services organisations.

Regardless of whether the numbers are right, the numbers are not large given the impact that the profession has.  Most of us are connected in some way through the conferences we attend or the communities that we participate in (such as this one).  Looking at who are in the roles, anecdotally there appears to be a disproportionately large number of people with a data warehousing background.  I include myself in this category.

Over the past five or even ten years the field has broadened out to apply standardised approaches to data management.  The scope of this includes data quality, master data management, data integration, linking metadata to taxonomies and so on.  With a reach and impact that touches every aspect of the organisation, why is it that so many people in the field still come from a data warehousing background?

What is even more interesting, when you pull groups together to talk about data management, they almost always end-up referring back to the role that the data warehouse plays in the enterprise.  A discussion on master data management will almost always include reference to the standardisation that has happened within the data warehouse.  A discussion on data quality generally refers back to the process to cleanse the data warehouse.  A discussion on data integration seems to include a debate on the operational role of the data warehouse.

I am very interested in the view of our community.  Do we refer back to data warehouses because that is where so many of us came from, or is it that an architecture which has a data warehouse playing an important role is conducive to good data management?

Category: Enterprise Data Management
5 Comments »

by: Bsomich
09  Dec  2009

Deploying a Semantic Approach Across the Enterprise.

The semantics approach to reporting enterprise data can be beneficial both for Intranet content and for business data. For the Intranet, it can create a usable dashboard to report on linkages between static content such as wikis, discussion forums, company press and many other internal information sources.   For business data, it can create semantic linkages across departmental silos and house meaningful decision making information in a central location. 

The benefits of deploying a semantic approach for enterprise data manipluation are well-known, but the larger question is, how can we do it?   Do you have any experience in this area and can you offer assistance to organizations looking to achieve this?

Category: Information Development
6 Comments »

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