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Displaying items by tag: management
Enterprise Architect Model Management Mountain Summit
Join us at the
Enterprise Architect
Model Management Mountain Summit
Reserve your place now
Who is it for?
- Enterprise Architect Model Managers.
- Learning together and building on each other's ideas & experience
- Tackling agreed common problems ***.
- To develop and deliver transferable skills and solutions that you can apply to your models straight away.
- Think "Davos" for Large Enterprise Architect Models
*** Everyone attending will bring a question for the group, and we will work on answering them together. Here are some ideas to get you started...
- How can we maintain control of our architecture models?
- What's the best way to coordinate model contents across programmes and projects?
- How can we improve the way we do model governance?
- What can we do to make sure quality doesn't drop as the model grows?
- What's really going on inside our models?
- ... [your question here]
When and where will it happen?
Wednesday February 20th 2019.
- At the Ability Engineering purpose built meeting venue in the Black Mountains in Wales
- Your ticket includes fantastic locally sourced and prepared food from Abergavenny - home of the renowned Food Festival.
- To ease travelling we will start at 10am and finish by 4pm.
- We can collect you from and deliver you to Abergavenny Rail Station.
- Contact us for local accommodation or travel recommendations.
What will it cost?
Just £35 per person.
Practical Info
- We have just 20 places available - to make sure that everyone has the chance to contribute.
- Ideally just one person from each organisation – to get the widest possible selection of model problems/perspectives.
How will it work?
Beforehand:
Each person coming will submit at least one ‘problem statement’ of a particular aspect of model management in EA that they are grappling with.
Problem statements to include as much supporting information as possible.
These will be accessible by everyone in a private Google group for a few weeks so that everyone can comment/discuss and think about them beforehand.
From the problem statements and discussions, we select 6 that are representative of the whole or of wide interest/application. (Selection date = Thursday 31/01/19)
On the day:
The authors of those 6 problems will give a short (no more than 9 minutes each) presentation to the assembled Summit.
Everyone present votes, and the top 3 are chosen to be workshopped.
We split into teams and each team works on one of the three chosen issues.
Each team comes up with some options/impacts/recommendations and presents back to the whole Summit for review and comment.
And after:
That will be up to you
Data Synthesis and Systems Integration
The success of business models lies in their agility, the extent to which they adapt to changing market conditions and how they maintain efficiency and competitiveness in international supply chains. Today markets are changing at an unprecedented pace, driven by mobile, social, cloud and data technology.
IDC states that “by 2020, a third of the data in the digital universe (more than 13,000 exabytes) will have Big Data value, but only if it is tagged and analysed”
In an ideal world, large enterprises want to be able to respond to market change, with the speed of smaller competitors. This agility lies in the organisational ability, to create innovation cycles at the technology, people and process levels- the development of new applications based on insights crystallised, from the effective collection, management and analysis of data. These cycles have the potential to continually drive, innovation and solutions.
An Enterprise Data Architecture identifies the strategic data requirements and the related components of the information management solution at the enterprise level, and supports the ability to leverage data into business intelligence.
Such architecture informs organisation strategy and provides a formal approach to creating and managing the flow of data and data processing across IT systems and applications. This includes defining objectives for the improvement of data collection and use, process improvement, effective decision making on new and modified solutions, data warehousing, integration and reporting initiatives.
The dollars are in the detail when it comes to data management practice. If organisations are to reap this value, they will need to enable data synthesis on a shared, intra-organisation basis, and for this, modelling of data assets is imperative. Enterprise Architect has a built in data modelling profile and further information can be found here http://www.sparxsystems.com.au/enterprise-architect/information-data-modeling/information-data-modeling.html
Gartner recommends that “enterprises should adopt a portfolio of data integration tools that support a range of data delivery styles” including “federated and virtualized views of data.” It is recommended to take into account both existing data integration processes and future needs relative to a range of use-cases including data warehousing, operational application integration, system migrations and data conversions, and intra-enterprise data sharing.
The Big Data Survey http://www.gartner.com/newsroom/id/2593815 conducted by Gartner in 2013 reveals that “64 Percent of organizations have invested or plan to invest in Big Data in 2013”.