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by: Bsomich
26  Apr  2014

Community Update.

 

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New to MIKE2.0? Here’s a Structural Overview…

If you’re not already familiar, here is an intro to the structure of the MIKE2.0 methodology and associated content:

  • A New Model for the Enterprise provides an intro rationale for MIKE2.0
  • What is MIKE2.0? is a good basic intro to the methodology with some of the major diagrams and schematics
  • Introduction to MIKE2.0 is a category of other introductory articles
  • Mike 2.0 How To – provides a listing of basic articles of how to work with and understand the MIKE2.0 system and methodology.
  • Alternative Release Methodologies describes current thinking about how the basic structure of MIKE2.0 can itself be modified and evolve. The site presently follows a hierarchical model with governance for major changes, though branching and other models could be contemplated.

We hope you find this of benefit and welcome any suggestions you may have to improve it.

Sincerely,

MIKE2.0 Community

New! Popular Content

Did you know that the followingwiki articles are most popular on Google? Check them out, and feel free to edit or expand them!

What is MIKE2.0?
Deliverable Templates
The 5 Phases of MIKE2.0
Overall Task List
Business Assessment Blueprint
SAFE Architecture
Information Governance Solution

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This Week’s Blogs for Thought:

Outsourcing our Memory to the Cloud

On the recent Stuff to Blow Your mind podcast episode Outsourcing Memory, hosts Julie Douglas and Robert Lamb discussed how, from remembering phone numbers to relying on spellcheckers, we’re allocating our cognitive processes to the cloud. Have you ever tried to recall an actual phone number stored in your cellphone, say of a close friend or relative, and been unable to do so?” Douglas asked. She remarked how that question would have been ridiculous ten years ago, but nowadays most of us would have to admit that the answer is yes.

Read more.

How CIOs Can Discuss the Contribution of IT

Just how productive are Chief Information Officers or the technology that they manage?  With technology portfolios becoming increasingly complex it is harder than ever to measure productivity.  Yet boards and investors want to know that the capital they have tied-up in the information technology of the enterprise is achieving the best possible return.
For CIOs, talking about value improves the conversation with executive colleagues.  Taking them aside to talk about the success of a project is, even for the most strategic initiatives, usually seen as a tactical discussion.  Changing the topic to increasing customer value or staff productivity through a return on technology capital is a much more strategic contribution.

Read more.
Let the Computers Calculate and the Humans Cogitate

Many organizations are wrapping their enterprise brain around the challenges of business intelligence, looking for the best ways to analyze, present, and deliver information to business users.  More organizations are choosing to do so by pushing business decisions down in order to build a bottom-up foundation.

However, one question coming up more frequently in the era of big data is what should be the division of labor between computers and humans?
Read more.

 

 

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If you have any questions, please email us at mike2@openmethodology.org.

 

 

 

Category: Information Development
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by: Ocdqblog
22  Apr  2014

Outsourcing our Memory to the Cloud

On the recent Stuff to Blow Your mind podcast episode Outsourcing Memory, hosts Julie Douglas and Robert Lamb discussed how, from remembering phone numbers to relying on spellcheckers, we’re allocating our cognitive processes to the cloud.

“Have you ever tried to recall an actual phone number stored in your cellphone, say of a close friend or relative, and been unable to do so?” Douglas asked. She remarked how that question would have been ridiculous ten years ago, but nowadays most of us would have to admit that the answer is yes. Remembering phone numbers is just one example of how we are outsourcing our memory. Another is spelling. “Sometimes I find myself intentionally misspelling a word to make sure the application I am using is running a spellchecker,” Lamb remarked. Once confirmed, he writes without worrying about misspellings since the spellchecker will catch them. I have to admit that I do the same thing. In fact, while writing this paragraph I misspelled several words without worry since they were automatically caught by those all-too-familiar red-dotted underlines. (Don’t forget, however, that spellcheckers don’t check for contextual accuracy.)

Transactive Memory and Collaborative Remembering

Douglas referenced the psychological concept of transactive memory, where groups collectively store and retrieve knowledge. This provides members with more and better knowledge than any individual could build on their own. Lamb referenced cognitive experimental research on collaborative remembering. This allows a group to recall information that its individual members had forgotten.

The memory management model of what we now call the cloud is transactive memory and collaborative remembering on a massive scale. It has pervaded most aspects of our personal and professional lives. Douglas and Lamb contemplated both its positive and negative aspects. Many of the latter resonated with points I made in my previous post about Automation and the Danger of Lost Knowledge.

Free Your Mind

In a sense, outsourcing our memory to the cloud frees up our minds. It is reminiscent of Albert Einstein remarking that he didn’t need to remember basic mathematical equations since he could just look them up in a book when he needed them. Nowadays he would just look them up on Google or Wikipedia (or MIKE2.0 if, for example, he needed a formula for calculating the economic value of information). Not bothering to remember basic mathematical equations freed up Einstein’s mind for his thought experiments, allowing him to contemplate groundbreaking ideas like the theory of relativity.

Forgetting how to Remember

I can’t help but wonder what our memory will be like ten years from now after we have outsourced even more of it to the cloud. Today, we don’t have to remember phone numbers or how to spell. Ten years from now, we might not have to remember names or how to count.

Wearable technology, like Google Glass or Narrative Clip, will allow us to have an artificial photographic memory. Lifelogging will allow us to record our own digital autobiography. “We have all forgot more than we remember,” Thomas Fuller wrote in the 18th century. If before the end of the 21st century we don’t have to remember anything, perhaps we will start forgetting how to remember.

I guess we will just have to hope that a few trustworthy people remember how to keep the cloud working.

Category: Information Development
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by: Robert.hillard
20  Apr  2014

How CIOs can discuss the contribution of IT

Just how productive are Chief Information Officers or the technology that they manage?  With technology portfolios becoming increasingly complex it is harder than ever to measure productivity.  Yet boards and investors want to know that the capital they have tied-up in the information technology of the enterprise is achieving the best possible return.

For CIOs, talking about value improves the conversation with executive colleagues.  Taking them aside to talk about the success of a project is, even for the most strategic initiatives, usually seen as a tactical discussion.  Changing the topic to increasing customer value or staff productivity through a return on technology capital is a much more strategic contribution.

What is the return on an IT system?

There are all sorts of productivity measures that can be applied to individual systems, but they are usually based on the efficiency of existing processes which leads to behaviours which reduce flexibility.  The future of business and government depends on speed of response to change, not how efficiently they deal with a static present.

Businesses invest in information systems to have the right information at the right time to support decisions or processes.  Information that is used is productive while information that is collected, but poorly applied, is wasted or unproductive.

However, to work out what proportion of information is being used there needs to be a way to quantify it.

How much information is contained in the systems?

There is a formal way to measure the quantity of information.  I introduce this extensively in chapter 6 of Information-Driven Business.

The best way to understand “quantity” in terms of information is to count the number of artefacts rather than the number of bits or bytes required to store them.  The best accepted approach to describing this quantity is called “information entropy” which, confusingly, uses a “bit” as its unit of measure which is a count of the potential permutations that the system can represent.

A system that holds 65,536 names has just 16 “bits” of unique information (log265536).  That might sound strange given that the data storage of 65,536 names might use of the order of 6MB.

To understand why there only 16 bits of unique information in a list of 65,536 names consider whether the business uses the spelling of the names of if there is any additional insight being gained from the data that is stored.

How much of that information is actually used?

Knowing how much information there is in a system opens up the opportunity to find how much information is being productively used.  The amount of information being used to drive customer or management choices is perhaps best described as “decision entropy”.  The decision entropy is either equal or less than the total information entropy.

An organisation using 100% of their available information is incredibly lean and nimble.  They have removed much of the complexity that stymies their competitors (see Value of decommissioning legacy systems).

Of course, no organisation productively uses all of the information that they hold.  Knowing that holding unproductive information comes at a cost to the organisation, the CIO can have an engaging conversation with fellow executives about extracting more value from existing systems without changing business processes.

When looking at how business reports are really used, and how many reports lie unread on management desks, there is a lot of low hanging fruit to be picked just by improving the way existing business intelligence is used.

Similarly, customer systems seldom maximise their use of hints based on existing information to guide buyers to close the best available offer.  A few digital enhancements at the front line can bring to the surface a vast array of otherwise unused information.

Changing the conversation

Globally, CIOs are finding themselves pushed down a rung in the organisational ladder.  This is happening at the very same time that technology is moving from the back office to become a central part of the revenue story through digital disruption.

CIOs are not automatically entitled to be at the executive table.  They have to earn the right by contributing to earnings and business outcomes.  One of the best discussions for a CIO to focus on is increasing productivity of the capital tied-up in the investments that have already been made in the systems that support staff and customers.

Category: Information Development, Information Strategy, Information Value
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by: Bsomich
15  Apr  2014

Community Update

Missed what happened in the MIKE2.0 Community? Here’s a quick recap:

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Business Drivers for Better Metadata Management

There are a number Business Drivers for Better Metadata Management that have caused metadata management to grow in importance over the past few years at most major organisations. These organisations are focused on more than just a data dictionary across their information – they are building comprehensive solutions for managing business and technical metadata.

Our wiki article on the subject explores many factors contributing to the growth of metadata and guidance to better manage it:  

Feel free to check it out when you have a moment.

Sincerely,MIKE2.0 Community

Contribute to MIKE:

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

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This Week’s Blogs for Thought:

Departing Employees: How well are you closing the information loop? 

Every organization, regardless of size, understands the importance of good on-boarding procedures for incoming employees and new hires. We have a slew of welcome packets, orientations, procedures and trainings to ensure we’re providing our incoming talent with the right tools to be successful in their new roles. But how often are we taking the same care to off board our departing employees when sensitive company information and intellectual property is at stake?

Read more. 

On Sharing Data

While security and privacy issues prevent sensitive data from being shared (e.g., customer data containing personal financial information or patient data containing personal health information), do you have access to data that would be more valuable if you shared it with the rest of your organization—or perhaps the rest of the world?Read more.

 

Evernote’s Three Laws of Data Protection

“It’s all about bucks, kid. The rest is conversation.” –Michael Douglass as Gordon Gekko, Wall Street (1987) Sporting more than 60 million users, Evernote is one of the most popular productivity apps out there these days. You may in fact use the app to store audio notes, video, pics, websites, and perform a whole host of other tasks.Read more.

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Category: Information Development
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by: Bsomich
11  Apr  2014

Departing Employees: How well are you closing the information loop?

Every organization, regardless of size, understands the importance of good on-boarding procedures for incoming employees and new hires. We have a slew of welcome packets, orientations, procedures and trainings to ensure we’re providing our incoming talent with the right tools to be successful in their new roles. But how often are we taking the same care to off board our departing employees when sensitive company information and intellectual property is at stake?

This topic has really hit home for our organization this year, as we began to develop procedures for operations that haven’t been clearly defined or documented, impacting critical departments such as HR, IT and Finance. Developing SOPs for these “gray areas” of the business has uncovered some interesting gaps that were not previously being closed. In the end, we discovered that while we had very clear instructions for bringing new talent into the company, we had no formal process for those who left and most off boarding activities were being carried out on an ad hoc basis.

Lesson learned: Regardless of company size or resources, taking the right approach to off boarding can save a giant headache when it comes to information security. It should be a preventive measure and not a reactive process.

As a baseline, organizations should give careful thought to the following information access points:

- Email

- Phone Directories

- Documents/File Sharing Systems

- CRM/Mailing Lists

- Company Intranets

- Website or FTPs

 

How well is your team closing the gap with respect to these information access points? Does your HR department communicate off boarding needs to IT, and do employees sign an NDA upon hire? How are you ensuring your intellectual property and other critical enterprise information is being safeguarded from departing talent?

 

Category: Information Development
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by: Bsomich
31  Mar  2014

Community Update

Missed what happened in the MIKE2.0 community this past week? Read on:

 

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The Five Phases of MIKE2.0

In order to realize results more quickly, the MIKE2.0 Methodology has abandoned the traditional linear or waterfall approach to systems development. In its stead, MIKE2.0 has adopted an iterative, agile approach called continuous implementation. This approach divides the development and rollout of anentire system into a series of implementation cycles. These cycles 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
  • Improvement requests on the future implementation cycles.

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

Feel free to check them out when you have a moment.

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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This Week’s Food for Thought:

Now that’s magic!

When I was a kid growing up in the UK, Paul Daniels was THE television magician. With a combination of slick high drama illusions, close-up trickery and cheeky end-of-the-pier humour, (plus a touch of glamour courtesy of The Lovely Debbie McGee TM), Paul had millions of viewers captivated on a weekly basis and his cheeky catch-phrases are still recognised to this day.Read more.

Login with Social Media

With a little work, social networks have the potential to be as valuable in confirming an identity as a passport.  It is the power of the crowd that can prove the integrity of the account holder, perhaps best described as crowdsourcing identity.

There are usually two goals of identity.  The first is to confirm you are you who you say you are and the second is to work out your relationship to other people.
Read more.

Does your company need data visualization apps?

Few learned folks dispute the fact that the era of Big Data has arrived. Debate terms if you like, but most of us are bombarded with information these days. The question is turning to, How do we attempt to understand all of this data?

Read more.

 

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Category: Information Development
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by: Ocdqblog
30  Mar  2014

On Sharing Data

While security and privacy issues prevent sensitive data from being shared (e.g., customer data containing personal financial information or patient data containing personal health information), do you have access to data that would be more valuable if you shared it with the rest of your organization—or perhaps the rest of the world?

We are all familiar with the opposite of data sharing within an organization—data silos. Somewhat ironically, many data silos start with data that was designed to be shared with the entire organization (e.g., from an enterprise data warehouse), but was then replicated and customized in order to satisfy the particular needs of a tactical project or strategic initiative. This customized data often becomes obsolesced after the conclusion (or abandonment) of its project or initiative.

Data silos are usually denounced as evil, but the real question is whether the data hoarded within a silo is sharable—is it something usable by the rest of the organization, which may be redundantly storing and maintaining their own private copies of the same data, or are the contents of the data silo something only one business unit uses (or is allowed to access in the case of sensitive data).

Most people decry data silos as the bane of successful enterprise data management—until you expand the scope of data beyond the walls of the organization, where the enterprise’s single version of the truth becomes a cherished data asset (i.e., an organizational super silo) intentionally siloed from the versions of the truth maintained within other organizations, especially competitors.

We need to stop needlessly replicating and customizing data—and start reusing and sharing data.

Historically, replication and customization had two primary causes:

  • Limitations in technology (storage, access speed, processing speed, and a truly sharable infrastructure like the Internet) meant that the only option was to create and maintain an internal copy of all data.
  • Proprietary formats and customized (and also proprietary) versions of common data was viewed as a competitive differentiation—even before the recent dawn of the realization that data is a corporate asset.

Hoarding data in a proprietary format and viewing “our private knowledge is our power” must be replaced with shared data in an open format and viewing “our shared knowledge empowers us all.”

This is an easier mantra to recite than it is to realize, not only within an organization or industry, but even more so across organizations and industries. However, one of the major paradigm shifts of 21st century data management is making more data publicly available, following open standards (such as MIKE2.0) and using unambiguous definitions so data can be easily understood and reused.

Of course, data privacy still requires sensitive data not be shared without consent, and competitive differentiation still requires intellectual property not be shared outside the organization. But this still leaves a vast amount of data, which if shared, could benefit our increasingly hyper-connected world where most of the boundaries that used to separate us are becoming more virtual every day. Some examples of this were made in the recent blog post shared by Henrik Liliendahl Sørensen about Winning by Sharing Data.

Category: Information Development
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by: Alandduncan
29  Mar  2014

Now that’s magic!

When I was a kid growing up in the UK, Paul Daniels was THE television magician. With a combination of slick high drama illusions, close-up trickery and cheeky end-of-the-pier humour, (plus a touch of glamour courtesy of The Lovely Debbie McGee TM), Paul had millions of viewers captivated on a weekly basis and his cheeky catch-phrases are still recognised to this day.

Of course. part of the fascination of watching a magician perform is to wonder how the trick works. “How the bloody hell did he do that?” my dad would splutter as Paul Daniels performed yet another goofy gag or hair-raising stunt (no mean fear, when you’re as bald as a coot…) But most people don’t REALLY want to know the inner secrets, and ever fewer of us are inspired to spray a riffle-shuffled a pack of cards all over granny’s lunch, stick a coin up their nose or grab the family goldfish from its bowl and hide it in the folds of our nether-garments. (Um, yeah. Let’s not go there…)

Penn and Teller are great of course, because they expose the basic techniques of really old, hackneyed tricks and force more innovation within the magician community. They’re at their most engaging when they actually do something that you don’t get to see the workings of. Illusion maintained, audience entertained.

As data practitioners, I think we can learn a few of these tricks. I often see us getting too hot-and-bothered about differentiating data, master data, reference data, metadata, classification scheme, taxonomy, dimensional vs relational vs data vault modelling etc. These concepts are certainly relevant to our practitioner world, but I don’t necessarily believe they need to be exposed at the business-user level.

For example, I often hear business users talking about “creating the metadata” for an event or transaction, when they’re talking about compiling the picklist of valid descriptive values and mapping these to the contextualising descriptive information for that event (which by my reckoning, really means compiling the reference data!). But I’ve found that business people really aren’t all that bothered about the underlying structure or rigour of the modelling process.

That’s our job.

There will always be exceptions. My good friend and colleague Ben Bor is something a special case and has the talent to combine data management and magic.

But for the rest of us mere mortals, I suggest that we keep the deep discussion of data techniques for the Data Magic Circle, and just let the paying customers enjoy the show….

Category: Business Intelligence, Data Quality, Enterprise Data Management, Information Development, Information Governance, Information Management, Information Strategy, Information Value, Master Data Management, Metadata
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by: Robert.hillard
28  Mar  2014

Login with social media

With a little work, social networks have the potential to be as valuable in confirming an identity as a passport.  It is the power of the crowd that can prove the integrity of the account holder, perhaps best described as crowdsourcing identity.

There are usually two goals of identity.  The first is to confirm you are you who you say you are and the second is to work out your relationship to other people.

Social networks can solve both.  We’re all familiar with the burgeoning number of websites that allow you to “login” with Facebook, LinkedIn or Twitter.  The vast majority, though, are simply using a convenient approach to challenge and permit access.  Rather than maintaining a new set of credentials, they are using a mechanism that maintains those sensitive details externally.

This is to be applauded and is entirely consistent with the objectives of cloud to share services rather than build complete vertical solutions from the ground up.  However, just accepting a social network’s credentials only uses a fraction of the capability that aligning with these services offers.

Telephone directories

In past decades, our grandparents carefully checked the telephone directory when it came out to make sure all their family and friends were listed correctly.  With the whole city doing the same thing, any mistakes (or even deliberate fraudsters) were pretty quickly uncovered.

Today, phone directories are barely looked at and are, at best, incomplete.  Once you get through an ID check, your details are entirely within your control and very likely to go unchallenged.

Social networks are different.  While the profile that is created is self-regulated, its exposure to the friends forces a level of honesty.  It may be easy to create a false identity, but a profile that is fully connected with the network and is actively maintained is much harder to fake for an extended period.  Some of the things to look for include: levels of activity, numbers of “friends” or connections who are themselves active and connected, cross-posting and the amount of detail on the profile.

A CV to be trusted

Many employers now prefer LinkedIn to a CV for the simple reason that it is harder to fake qualifications and experience.  A CV prepared for an employer requires reference checking and verification that often doesn’t happen.

The media is full of stories of senior people who have been caught claiming qualifications that they never completed.  Compare that to the profile on LinkedIn where there are usually hundreds of connections, any one of which will call out if a false qualification is claimed or the description of employment is exaggerated.

Moreover, for most employers the network of connections in common is extensive and a whole range of potential points of verification are added, even if confidentiality requires waiting until after employment has commenced.  Just the knowledge that this is likely to happen discourages would-be fakes.

Credentials that aren’t shared

Just as people will grab their smartphone before almost any other possession in an emergency, it seems that they value their social media login credentials above almost any other password.

People will often happily give out their credentials for video streaming services (such as Netflix).  They allow their trusted family members to use their banking user details.  They will even allow support staff at work to have their network password.  But ask for access to their Facebook or LinkedIn account and they will refuse as it sits at the centre of their trusted friend network.  Access to this core is just too sensitive to share.

In the future we could see building security where you “login with Facebook” and banks using social media credentials as part of identifying a customer when creating a new account.

A fair exchange of value

Whether a business or government service, it is important that the consumer or citizen receives fair value for using social media to identify themselves.  The key is full disclosure.

If all that the Google, Facebook, Twitter or LinkedIn account is doing is providing access then the exchange is one of convenience.  For the user, there is one less password to maintain and the site owner there is one less point of exposure.

However, it may be that the site or service needs to know about relationships, locations or other details which are maintained in the service.  Full disclosure allows the user to feel confident on what is being used and why.  If the use is appropriate to the user’s needs then this approach provides a way of updating their personal details without their filling out as many forms.

Many online services need not have any username or password data at all and those that do may only need it for those customers or citizens who want to opt-out of the social media revolution.  Arguably, this last group maintain less of their details online and are usually less exposed in the event of security breach.

Good practice suggests using social media as part of an identity service rather than government or business trying to create yet another master, standalone, identity solution of their own.

Category: Enterprise2.0, Information Value, Web2.0
1 Comment »

by: Bsomich
18  Mar  2014

Weekly IM Update.

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What is an Open Methodology Framework?

An Open Methodology Framework is a collaborative environment for building methods to solve complex issues impacting business, technology, and society.  The best methodologies provide repeatable approaches on how to do things well based on established techniques. MIKE2.0′s Open Methodology Framework goes beyond the standards, techniques and best practices common to most methodologies with three objectives:

  • To Encourage Collaborative User Engagement
  • To Provide a Framework for Innovation
  • To Balance Release Stability with Continuous Improvement

We believe that this approach provides a successful framework accomplishing things in a better and collaborative fashion. What’s more, this approach allows for concurrent focus on both method and detailed technology artifacts. The emphasis is on emerging areas in which current methods and technologies lack maturity.

The Open Methodology Framework will be extended over time to include other projects. Another example of an open methodology, is open-sustainability which applies many of these concepts to the area of sustainable development. Suggestions for other Open Methodology projects can be initiated on this article’s talk page.

We hope you find this of benefit and welcome any suggestions you may have to improve it.

Sincerely,

MIKE2.0 Community

Popular Content

Did you know that the following wiki articles are most popular on Google? Check them out, and feel free to edit or expand them!

What is MIKE2.0?
Deliverable Templates
The 5 Phases of MIKE2.0
Overall Task List
Business Assessment Blueprint
SAFE Architecture
Information Governance Solution

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.

Useful Links:
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Content Model
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MIKE2.0 Governance

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This Week’s Blogs for Thought:

Is it finally the year of IoT?
In previous posts on this blog, The Internet of Humans and The Quality of Things, I have pondered aspects of the Internet of Things (IoT), which is something many analysts have promised for several years would soon be a pervasive phenomenon. There is reason to believe, however, that it is finally the year of IoT.
In a sense IoT is already with us, Christopher Mims explained in his Quartz three-part series about IoT.

Read more.

Grover: A Business Syntax for Semantic English

Grover is a semantic annotation markup syntax based on the grammar of the English language. Grover is related to the Object Management Group’s Semantics of Business Vocabulary and Rules (SBVR), explained later. Grover syntax assigns roles to common parts of speech in the English language so that simple and structured English phrases are used to name and relate information on the semantic web. By having as clear a syntax as possible, the semantic web is more valuable and useful.
An important open-source tool for semantic databases is SemanticMediaWiki that permits everyone to create a personal “wikipedia” in which private topics are maintained for personal use. The Grover syntax is based on this semantic tool and the friendly wiki environment it delivers, though the approach below might also be amenable to other toolsets and environments.Read more.

The Data Doctor is in

Being a data management practitioner can be tough.
You’re expected to work your data quality magic, solve other people’s data problems, and help people get better business outcomes. It’s a valuable, worthy and satisfying profession. But people can be infuriating and frustrating, especially when the business user isn’t taking responsibility for the quality of their own data.

It’s a bit like being a Medical Doctor in general practice.
Read more.

 

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If you have any questions, please email us at mike2@openmethodology.org.

 


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