Open source "won" in a pre-Twitter, pre-GitHub, pre-Stack Overflow era. Today, building software in public means dealing with people (often, strangers) at le...
1. Decisions are the unit of work to which BI initiatives should be applied.
2. Providing access to data and tools isn't enough if you want to ensure that decisions are actually improved.
3. If you're going to supply data to a decision-maker, it should be only what is needed to make the decision.
4. The relationship between information and decisions is a choice organizations can make--from "loosely coupled," which is what happens in traditional BI, to "automated," in which the decision is made through automation.
5. "Loosely coupled" decision and information relationships are efficient to provision with information (hence many decisions can be supported), but don't often lead to better decisions.
6. The most interesting relationship involves "structured human" decisions, in which human beings still make the final decision, but the specific information used to make the decision is made available to the decision-maker in some enhanced fashion.
7. You can't really determine the value of BI or data warehousing unless they're linked to a particular initiative to improve decision-making. Otherwise, you'll have no idea how the information and tools are being used.
8. The more closely you want to link information and decisions, the more specific you have to get in focusing on a particular decision.
9. Efforts to create "one version of the truth" are useful in creating better decisions, but you can spend a lot of time and money on that goal for uncertain return unless you are very focused on the decisions to be made as a result.
10. Business intelligence results will increasingly be achieved by IT solutions that are specific to particular industries and decisions within them.
Physical space matters. It’s easier to be productive, creative and happy at work in a colourful, organic, playful environment than in a grey, linear, boring one.
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Real networking is about finding ways to make other people more successful. It is sharing your knowledge and resources, time and energy, friends and associates, and empathy and compassion in an effort to provide value to others while increasing your own.
Substitute a standard web services interface for a speaking tube, a business rules management system for his encyclopedic knowledge of policies and regulations, data mining or predictive analytics for his customer knowledge and adaptive control for his experimentation and you have Decision Management. The Answerer but on an industrial scale.
Even if you don't imagine your open-source project becoming next year's hottest unicorn, all but the smallest of open-source projects are always at risk of (...)
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Great branding has always been about influence and not control. Today, the way to achieve this is by observing the conversation and involving yourself in it.
In my room I have whiteboard with a task list that I slowly work through as part of my working day after I finish responding to time sensitive emails. Generally I work on a website or do some form of writing, which can be copy for a website, an article fo
This is a collection of methods and strategies to make income from an Open Source project while keeping it thriving and freely available. The methods take into account project brand strength, and the real opportunities available while owning your project'
- First, event management is primarily about the identification and generation of business events from the ambient events. Similar to what Carole-Ann and I had written in previous posts.- Second, IBM wants to introduce high level EPLs to express the logic for that processing that are business-centric, something very similar to what Business Rules Languages and approaches are in the business rules management area.
Stock Cloud began as data mining experiment with a very simple goal — "Could we extract Business Partnerships by tracking press releases?" To accomplish this we selected a press release distribution agency, MarketWire, and began tracking releases. Usi
Stock Cloud began as data mining experiment with a very simple goal — "Could we extract Business Partnerships by tracking press releases?" To accomplish this we selected a press release distribution agency, MarketWire, and began tracking releases. Usi
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I've been talking with a range of open source vendors lately about the scalability of their business models. It's clear that an open source model can easily get you north of $10M in revenues, with $100M just around the corner. But does a 100% open source
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All the “where to invest $100″ articles telling you to buy CDs and open money market funds are dead wrong. Absolutely dead wrong. Where should you be investing $100? Look for promotional offers from online bank accounts (where you can generate some mo