Re: Go-to resources for developing a KM Strategy?
#strategy
Dave Snowden
Well you can come on the stand - which is being manned by our lead medical anthropologist and head of our Health Practice who also happens to be my daughter - the more reasonable aspect of the Snowden family
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Re: Go-to resources for developing a KM Strategy?
#strategy
Dave’s workshop at KMWorld is always the most jam-packed, in the biggest room, and I am always sad to miss it, holding another workshop at a competing time – and a smaller room. 😊
Kim Glover Director, Knowledge Management & Social Learning | People and Culture P +1 281 405 7069 | M +1 832 472 2983
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Re: Go-to resources for developing a KM Strategy?
#strategy
Dave Snowden
Teaching that this afternoon at KM World and launching some fast start programmes
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November 2022 SIKM Call: Arthur Shelley - Becoming Adaptable: the art of creative facilitation to develop individuals and collective capabilities and to share knowledge
#monthly-call
Hello SIKM Leaders members,
I am honoured to be interacting with you at Stan’s monthly call next week. As announced, we will be doing this one as a 4 PM call, rather than the usual 11 AM Eastern USA Time. 8 AM for me here in Australia is far more social that the previous sessions I have done at 3 AM - Thank you Stan 😊. Maybe less busy for east Coast USA too as you round out your day.
In this conversational session we will explore why Becoming Adaptable is important and how this is relevant to building a collaborative culture for knowledge sharing. We will explore how even knowledge itself is and adaptable science, including why the world shifts through the cocreation and application of new knowledge (faster than competitors). This approach is equally applicable to not for profits as it is for commercial and government entities, as we all need to remain relevant to our stakeholders, who are undergoing rapid change as well. I am looking forward to sharing insights around these concepts through “Collaborative Conversation Spirals”. See you all next week.
Dr Arthur Shelley Principal: www.IntelligentAnswers.com.au Founder: Organizational Zoo Ambassadors Network Mb. +61 413 047 408 Twitter: @Metaphorage LinkedIn: https://www.linkedin.com/in/arthurshelley/ Author: Becoming Adaptable Creative facilitation to develop yourself and transform cultures (2021) Earlier Books: KNOWledge SUCCESSion Sustained performance and capability growth through knowledge projects (2017) The Organizational Zoo (2007) & Being a Successful Knowledge Leader (2009)
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Re: Go-to resources for developing a KM Strategy?
#strategy
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From: main@SIKM.groups.io <main@SIKM.groups.io> On Behalf Of Hamish Tacey
Sent: 07 November 2022 10:44 To: main@sikm.groups.io Subject: [SIKM] Go to resource/s for developing a KM Strategy?
Hello all,
What would be the go-to simple resource that can help with the process of developing an organisations KM Strategy?
Like defining the strategy document structure, the process to develop a strategy, the methodology to develop it etc..
Thank you Hamish
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Go-to resources for developing a KM Strategy?
#strategy
Hamish Tacey
Hello all, What would be the go-to simple resource that can help with the process of developing an organisations KM Strategy? Like defining the strategy document structure, the process to develop a strategy, the methodology to develop it etc.. Thank you Hamish |
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Re: Knowledge Maturity
#maturity
Barbara Fillip
In fact, since this appears to be born out of a concern for project knowledge, it may need to be interpreted specifically in that context. This article from PMI looks at the connections between project management maturity models and knowledge management maturity models, eventually developing a model that combines them: Management of project knowledge at various maturity levels in PMO, a theoretical framework, https://www.pmi.org/learning/library/management-project-knowledge-maturity-levels-8928 Best, Barbara Fillip On Wed, Nov 2, 2022 at 8:10 PM Tom Olney <tolney@...> wrote:
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Re: Knowledge Maturity
#maturity
Guillermo A. Galdamez
Hi Madeleine, I am happy to see the amount of conversation and engagement your question generated. Thanks for asking! I'll try to contribute without being redundant to what others have previously written. In my experience, when organizations use terms like "mature" to describe their end state for knowledge they are generally referring to several things:
Sadly, I don't have a single resource for a definition of mature knowledge that I can point you to, however, the following blog post may come close: "NERDy Content for the Enterprise". [full disclosure: my boss wrote that] Beyond helping your organization define an end goal for their knowledge, I would encourage you to help them define the outcomes that they want to get out of it. From the perspective of project management this could be a variety of things:
Keeping the above in mind, you can begin to prioritize your knowledge management efforts. (I also love guiding folks to this blog post to give them an idea of what their first step may be: '6 Questions to Help Determine Where to Start Your KM Transformation') I hope you find this helpful! Feel free to reach out if you have any questions. Best, Guillermo On Wed, Nov 2, 2022 at 9:36 PM Madeleine Du Toit via groups.io <mdutoit=iqbusiness.net@groups.io> wrote: Hi, |
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Re: Knowledge Maturity
#maturity
Madeleine Du Toit
Thank you all so much for your thoughtful input. It has certainly given me many angles to consider.
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From: main@SIKM.groups.io <main@SIKM.groups.io> on behalf of Dennis Thomas <dlthomas@...>
Sent: Friday, November 4, 2022 6:37:06 PM To: main@SIKM.groups.io <main@SIKM.groups.io> Subject: Re: [SIKM] Knowledge Maturity #maturity Hello Madeleine Du Toit,
We are a technology company focused on the KM industry. The more advanced queries we get are from companies that want to grow. Their concerns are transferring organizational knowledge. They have ERP systems (Enterprise Resource Planning) infrastructures, but the end-to-end business processes (the business intelligence) of those systems is hidden in data structures which in general, is unavailable to their workforce for knowledge transfer purposes. If I were to define an "end-state,” I would say it is the human accessible, understandable, and usable how-to, why, and what-if knowledge that is represented within their existing end-to-end business procedures, tasks and processes, along with any dependent, contingent, or adhoc relationships required to represent the overall breadth and depth of those end-to-end knowledge structures. And organization may have several end-to-end business processes, such as: Hire to Retire; Acquire to Retire; Plan to Inventory; Quote to Cash; Market to Order; Idea to Offering; Prospect to Customer; Customer to Retention; etc. These end-to-end procedures are core to every business. It’s where real-world business intelligence resides. The stuff that people have in their heads. We use this very language to help clarify the KM issue and to direct the conversation. In most cases, referring to these terms generates a “blinding flash of the obvious” response from potential customers sitting on the opposite side of the table. It's what practical business people understand because it’s what business owners and operators have spent their careers learning and perfecting. Once the end-to-end discussion point has been made, accepted, and acknowledged, the next step is to correlate the end-to-end modeling process to their goals and objectives. The beauty of this approach, for us, is that each end-to-end KM process can be defined in advance, achieved in milestone fashion, and successfully concluded with an end-state result. Then, on to priority #2, #3, #4, etc. Of course, it doesn’t hurt to have a cognitive technology that has the capacity to model the complexity of end-to-end business procedures and processes. I know there are a few out there. Also, keep in mind that Conversational AI is here now. It is also called NLU (Natural Language Understanding). So if the discussion centers on Tier One, Tier Two Customer Support, Digital Assistants, Smart Agents, Smart Assistants, or Smart Chatbots, etc. know that non-hype versions are coming out on the market, but they are few and far between. Good luck! Dennis L Thomas
(810) 662-5199
dlthomas@...
IQStrategix.com
Leveraging Organizational Knowledge
On Nov 2, 2022, 1:36 PM -0400, Madeleine Du Toit via groups.io <mdutoit@...>, wrote:
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Re: Knowledge Maturity
#maturity
Dennis Thomas
Hello Madeleine Du Toit,
We are a technology company focused on the KM industry. The more advanced queries we get are from companies that want to grow. Their concerns are transferring organizational knowledge. They have ERP systems (Enterprise Resource Planning) infrastructures, but the end-to-end business processes (the business intelligence) of those systems is hidden in data structures which in general, is unavailable to their workforce for knowledge transfer purposes. If I were to define an "end-state,” I would say it is the human accessible, understandable, and usable how-to, why, and what-if knowledge that is represented within their existing end-to-end business procedures, tasks and processes, along with any dependent, contingent, or adhoc relationships required to represent the overall breadth and depth of those end-to-end knowledge structures. And organization may have several end-to-end business processes, such as: Hire to Retire; Acquire to Retire; Plan to Inventory; Quote to Cash; Market to Order; Idea to Offering; Prospect to Customer; Customer to Retention; etc. These end-to-end procedures are core to every business. It’s where real-world business intelligence resides. The stuff that people have in their heads. We use this very language to help clarify the KM issue and to direct the conversation. In most cases, referring to these terms generates a “blinding flash of the obvious” response from potential customers sitting on the opposite side of the table. It's what practical business people understand because it’s what business owners and operators have spent their careers learning and perfecting. Once the end-to-end discussion point has been made, accepted, and acknowledged, the next step is to correlate the end-to-end modeling process to their goals and objectives. The beauty of this approach, for us, is that each end-to-end KM process can be defined in advance, achieved in milestone fashion, and successfully concluded with an end-state result. Then, on to priority #2, #3, #4, etc. Of course, it doesn’t hurt to have a cognitive technology that has the capacity to model the complexity of end-to-end business procedures and processes. I know there are a few out there. Also, keep in mind that Conversational AI is here now. It is also called NLU (Natural Language Understanding). So if the discussion centers on Tier One, Tier Two Customer Support, Digital Assistants, Smart Agents, Smart Assistants, or Smart Chatbots, etc. know that non-hype versions are coming out on the market, but they are few and far between. Good luck! Dennis L Thomas
(810) 662-5199
dlthomas@...
IQStrategix.com
Leveraging Organizational Knowledge
On Nov 2, 2022, 1:36 PM -0400, Madeleine Du Toit via groups.io <mdutoit@...>, wrote: Hi, |
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Re: Knowledge Maturity
#maturity
Matt Finch
This is also where I'm interested in exploring how scenario work can feed into KM - those key questions
depend so much on extrinsic contextual factors, both within the business environment and beyond, that it might be fascinating as well as useful to manufacture contrasting and challenging plausible visions of the futures which await.
What does "the end game"/maturity/successful implementation look like, depending on the future context that the organization finds itself moving into - and especially if it's not a context that was anticipated or desired?
Matt
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Re: Knowledge Maturity
#maturity
Madeleine,
For us this accomplishes several things:
Implementation? For us, implementation of KM efforts and initiatives have always been about small, incremental wins that each build on each other. That way we bring along our audiences without losing them by moving too quickly, and allows us to:
Best regards,
David B. Graffagna
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Open Source Tool for Qualitative Data
#data-science
#tools
Bahar Salimova
Hi everyone,
I am working with a team who needs to analyze large volumes of qualitative data quickly. It would have been ideal to use Nvivo, but it is an expensive option. Has anyone used an open source qualitative data analysis tool? Maybe Taguette or anything else?
Many thanks for your suggestions in advance,
Bahar
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Re: Knowledge Maturity
#maturity
Patrick Lambe
Absolutely Murray, in fact my thought on reading the original question was that the PM mindset is to manage from start to end, and that may be where the particular phrasing of the question came from.
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However, I’m not sure I agree on accommodating to this mindset too much, without giving some push back, especially with regard to double loop learning, and managing critical knowledge across multiple projects. I think your distinction between a project and a program is an excellent way to do that. P
Patrick Lambe
Partner Straits Knowledge phone: +65 98528511 web: www.straitsknowledge.com resources: www.greenchameleon.com knowledge mapping: www.aithinsoftware.com
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Re: Knowledge Maturity
#maturity
Murray Jennex
I agree with you Patrick as I would look at learning how to do the analysis and how to improve that process as a reflection of KM maturity (you would be surprised how many organizations don't think of learning to do the process better and just focus on the outcome). I was just speculating that in the PM world they are probably looking at knowledge processes a little differently. PM is about managing short term activities to a conclusion, it is all about the end state when it comes to achieving project success and realizing project benefits. In that world asking for the end state is a very valid request and I think we need to work within their culture on this. Yes, we know that KM is an evolving set of capabilities and goals and continuous improvement. PM focuses on continuous improvement but with respect to very measurable goals. I don't think we will win many PMs over by not recognizing that they work in a world of short term activities with measurable goals and end states. Currently, PMs think of project knowledge as lessons learned, we can help them expand that concept to be more inclusive of process and capability improvement. However, I think PMs will only shake their heads at us if we refuse to work our concepts into the way their world works. PMs are more concerned with knowledge (singular) than broad knowledge (plural) and they are very focused on measuring benefits. When PMs say end state they mean after the project completes. Our answer that there is no end state means to PMs that we aren't talking projects and instead have moved into programs, perhaps we should state that very clearly PMs are not doing stand alone KM projects but that they need to look at as a KM program with a series of KM projects. The KM projects can and must have an end state with measurable benefits and goals. Most of our discussion has focused on the KM program (and rightfully so). My read of the original question leads me to see this difference in concepts and perhaps that is the first step to answering this question, emphasizing that KM is not a project but a program....murray
-----Original Message-----
From: Patrick Lambe <plambe@...> To: main@SIKM.groups.io Sent: Thu, Nov 3, 2022 2:04 am Subject: Re: [SIKM] Knowledge Maturity #maturity Hi Murray
You are quite right to make a distinction between specific knowledge artefacts/ resources and knowledge in general or “knowledges” pertaining to a domain, and I accept that specific knowledge resources (usually explicit) may reach an end state.
However, I find it more useful to think of the broader knowledge ground out of which those resources are produced, which guides how they are applied, and which determines when they need to be updated, discarded or replaced. And against that ground, (as you point out) different knowledge resources change at different paces - “knowledge pace layering” if you like. Managing that environment is the real point, I think.
For example, in your case of the engineering solution, yes the solution is interesting and important, but the “ground” of knowledge out of which that solution was produced and in which is it used, is the more important resource, I think, because it is that which tells us how and when to renew it.
Why more useful? Because none of what we do makes sense if we don’t look beyond the resource to the purpose and context of using the resource.
P
Patrick Lambe
Partner Straits Knowledge phone: +65 98528511 web: www.straitsknowledge.com resources: www.greenchameleon.com knowledge mapping: www.aithinsoftware.com
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Re: Content Library Quality Assurance at Scale
#content-management
#CoP
Kelsey George
Hi Mary, I have some experience in automating workflows. Would you mind clarifying which point of the process you are looking to automate? If you are looking to automate at time of accession, there are several open source tools for collecting technical metadata from digital files, such as Harvard's FITS and Seth Shaw's DataAccessioner, that might allow you to automatically gather the technical metadata. With some additional coding, it would be possible to auto-reject or approve for review based on the values of various collected fields. If you are looking to automate the review or approval process, that is likely possible depending on what enterprise softwares you are using or the coding skill of your team. I've automated a chain of review/approval processes for compliance using Microsoft Power Automate, and I know there are other similar software capabilities in platforms such as ServiceNow or ticketing systems such as JIRA or Autodesk. Hopefully that gives you a place to start! I would also be happy to connect if you'd like to brainstorm further. Kelsey George On Thu, Nov 3, 2022 at 9:26 AM Stan Garfield <stangarfield@...> wrote: On Fri, Oct 28, 2022 at 10:19 AM, Mary Palmieri wrote: |
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Re: Knowledge Maturity
#maturity
Tim Powell
Hi Madeleine,
TLDR: They’re asking you the wrong question. I’d advise you to dig further to determine their intention behind it. == I’m always guided by Peter Drucker’s visionary aphorism, “Knowledge is the business.” And by Heraclitus’ that “You cannot step in the same river twice — because it’s never the same river.”
Like the business itself, Knowledge must be dynamic. Is there an “end state” envisioned for the enterprise — a sale of the business, for example, or declaration of bankruptcy? Assuming not, the construct of an “end state” for knowledge exists in theory only. In practice, knowledge must continually evolve to meet the ever-changing needs of the enterprise — and changing conditions in the business ecosystem.
I’m seconding similar comments made by Patrick, Nancy and others earlier. Even the name “end state” implies that Knowledge can/should be static — far from the case, in my experience.
This is not just my opinion. The ISO 9001:2015 specification states clearly (in section 7.1.6) that the continual refreshing of organizational knowledge is a core knowledge role. In my experience, though, it’s too often overlooked in the day-to-day practice of KM.
How to best achieve such “knowledge dynamism” is of great interest to me. In fact, I’m hosting a workshop Monday afternoon at KMWorld on avoiding “zombie knowledge” — the walking dead of knowledge.
Thanks for this question that has already garnered some interesting and useful responses!
tp
TIM WOOD POWELL | President, The Knowledge Agency® | Author, The Value of Knowledge | New York City, USA | TEL +1.212.243.1200 | SITE KnowledgeAgency.com | BLOG TimWoodPowell.com |
From:
<main@SIKM.groups.io> on behalf of "Madeleine Du Toit via groups.io" <mdutoit@...>
Hi, |
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Re: Content Library Quality Assurance at Scale
#content-management
#CoP
On Fri, Oct 28, 2022 at 10:19 AM, Mary Palmieri wrote:
Right now our quality review process is all manual which we would like to optimize and automate in order to grow. I am writing a quality matrix for the organization as we speak to enable consistency among our team. Long term, I would like to automate this process as much as possible.Can anyone respond to Mary? If so, that would be most helpful. Thanks! |
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Re: Knowledge Maturity
#maturity
Robert L. Bogue
As I’ve been watching this I’ve been considering the original question and wondering if we’re talking about an end state – or if we’re talking about a vision. The distinction I’m making is that an end state is more prescriptive. A vision is less specific and more inspiring.
That leads me to the question – how would we know if we have an organization that’s mature in it’s KM initiatives? Is the evidence found in a set of policies and procedures that make knowledge management an explicit part of the functioning of the organization? (and at what level since 100% isn’t reasonable) Is it the way that people behave in terms of capturing, codifying, and sharing their own knowledge?
Maturity models and the ISO standard are fine but not always so great on knowing when the destination has been reached (if that’s possible.)
Rob
------------------- Robert L. Bogue O: (317) 844-5310 M: (317) 506-4977 Blog: http://www.thorprojects.com/blog Want to be confident about your change management efforts? https://ConfidentChangeManagement.com Are you burned out? https://ExtinguishBurnout.com can help you get out of it (for free)
From: main@SIKM.groups.io <main@SIKM.groups.io> On Behalf Of
Patrick Lambe via groups.io
Sent: Thursday, November 3, 2022 3:05 AM To: main@SIKM.groups.io Subject: Re: [SIKM] Knowledge Maturity #maturity
Hi Murray
You are quite right to make a distinction between specific knowledge artefacts/ resources and knowledge in general or “knowledges” pertaining to a domain, and I accept that specific knowledge resources (usually explicit) may reach an end state.
However, I find it more useful to think of the broader knowledge ground out of which those resources are produced, which guides how they are applied, and which determines when they need to be updated, discarded or replaced. And against that ground, (as you point out) different knowledge resources change at different paces - “knowledge pace layering” if you like. Managing that environment is the real point, I think.
For example, in your case of the engineering solution, yes the solution is interesting and important, but the “ground” of knowledge out of which that solution was produced and in which is it used, is the more important resource, I think, because it is that which tells us how and when to renew it.
Why more useful? Because none of what we do makes sense if we don’t look beyond the resource to the purpose and context of using the resource.
P
Patrick Lambe
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Re: Knowledge Maturity
#maturity
Chris Collison
Hi Madeline, I’d echo a lot of what Nick says.
On ISO30401, you could take a look at the KM Canvas which Paul Corney, Patricia Eng and I included with the KM Cookbook. It contains a set of practical questions which map to the standard, and can be used to test readiness/resilience – and prompt the right conversations about priorities. All the best for your journey... Chris
From:
main@SIKM.groups.io <main@SIKM.groups.io> on behalf of Nick Milton <nick.milton@...> Madeleine, if you are looking for a “goal line” – ie something that can be measured against - you might consider ISO 30401, the Management Systems Standard for KM, with the following caveats:
Given these caveats, ISO 30401 can still be useful. I am not personally a huge fan of maturity models, as I see KM more as a cultural phase-shift rather than a gradual maturing. But if your organisation wants to know what an end-state might be for KM, one answer is “the end-state is a fully embedded, operating and continually improving KM management system”, and if they ask “how will we measure if we have got there”, one answer could be “you can measure against the criteria within ISO 30401”
Nick Milton
From: main@SIKM.groups.io <main@SIKM.groups.io>
On Behalf Of Madeleine Du Toit via groups.io
Sent: 02 November 2022 17:36 To: main@SIKM.groups.io Subject: [SIKM] Knowledge Maturity #maturity
Hi, |
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