Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    data analytics in ecommerce
    Analytics Technology Drives Conversions for Your eCommerce Site
    5 Min Read
    CRM Analytics
    CRM Analytics Helps Content Creators Develop an Edge in a Saturated Market
    5 Min Read
    data analytics and commerce media
    Leveraging Commerce Media & Data Analytics in Ecommerce
    8 Min Read
    big data in healthcare
    Leveraging Big Data and Analytics to Enhance Patient-Centered Care
    5 Min Read
    instagram visibility
    Data Analytics Plays a Key Role in Improving Instagram Visibility
    7 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-23 SmartData Collective. All Rights Reserved.
Reading: First Look – Be Informed
Share
Notification Show More
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Big Data > Data Mining > First Look – Be Informed
Business IntelligenceData MiningPredictive Analytics

First Look – Be Informed

JamesTaylor
Last updated: November 17, 2008 12:19 am
JamesTaylor
6 Min Read
SHARE

Last week I got a chance to catch up with a Dutch company in the decision management space – Be Informed. Be Informed arose out of work within a big systems integrator building complex processes, especially in government, that was […]


Copyright © 2008 James Taylor. Visit the original article at First Look – Be Informed.

Last week I got a chance to catch up with a Dutch company in the decision management space – Be Informed. Be Informed arose out of work within a big systems integrator building complex processes, especially in government, that was unable to find good tools for case management and complex knowledge-based processes. The company started to build a product in 2002-2003 and launched a separate company in 2006 (selling the SI business to Ordina, one of the largest SI’s in the Netherlands). The company has about 130 people split more or less evenly between development and supporting customer implementations. They have seen a steady increase in the scope of projects on which they work and have expanded beyond the Dutch government (although this still represents 50% of their work) to financial services companies in the Netherlands as well as companies elsewhere in the European Union. Historically lots of case management projects but increasingly they are working on more operational projects like deciding which ships to inspect or about awarding specific permits.

More Read

Gartner BI Summit 2012: The yin and yang of business and IT on the agenda

Austinites Really Love Music & Kevin Durant is Kind of a Big Deal, So Says Data Science
Practical Data Analytics – When is “close enough” good enough?
Artificial Intelligence and Big Data in Higher Education: Promising or Perilous?
More Brands Use AI Driven PPC Strategies For Optimal Exposure

They like to talk about separating “the know from the flow” – keeping decisions and processes linked but ensuring that one is not embedded in the other. They find this allows them to define standard process/flow with separate knowledge services that are custom for different customers and to provide process variations. The knowledge services turn a reference process into a “Process of me”. In one agency they took hundreds of processes and reduced them to one generic one using knowledge services that were different, a nice illustration of how decision management can simplify processes.

They believe that if knowledge differentiates you then you should put it at the center. They have what they call a “Knowledge Infrastructure” to develop, record, validate, apply, manage, govern knowledge (rules or policies) and support this by generating forms, case management processes etc. They offer a range of what they call “knowledge instruments” including query tree, classification, navigation, calculator, comparator and search engine. All these instruments use the semantic model for logic, classification, calculation, searching, and so forth.

The product suite consists of:

  • ?Be Informed Knowledge Server
    Delivers decision services – answers questions for other services and components.
  • ?Be Informed Case Management Server
    Their process execution environment, focused on case management processes. They also have customers using Siebel, Global 360 and FileNet to execute processes and access the knowledge server.
  • Be Informed Studio
    Graphic environment for developing the semantic models at the heart of the product plus analysis tools. These models can be executed by the Knowledge Server and the Case Management Server of can be exported to third party tools. One of their clients is working with them to use their product for knowledge management and then exporting the rules to Blaze Advisor for production processing.
  • Be Informed Editing Server
    Supports editing and collaboration as well as “time travel” (being able to see the state of the repository at a particular time in the past), versioning etc. Models can be compared, linked and impact analysis conducted.
  • Be Informed Repository.

At the heart of the product is an Ontology mapped to the business objects that the organization has in its systems and into which the rules are integrated. The knowledge model connects business rules to the ontology while the semantics of the system map to objects in the physical data layer. They use a typical structured natural language approach for rules along with some graphical metaphors. Functions for business rules management, search, information access, governance, case management, dynamic software components and “Knowledge as a service” are all wrapped around this single ontology or semantic model.

One of the interesting side effects of their knowledge focus is that, although knowledge is turned into executable rules for automated decisions, if the system cannot make a decision from the rules then it can present the guiding principles of the knowledge model etc to decision maker to support the manual process – an interesting mix of automated decisions and decision support.

ShareThis


Link to original post

Share This Article
Facebook Twitter Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

trusted data management
The Future of Trusted Data Management: Striking a Balance between AI and Human Collaboration
Artificial Intelligence Big Data Data Management
data analytics in ecommerce
Analytics Technology Drives Conversions for Your eCommerce Site
Analytics Exclusive
data grids in big data apps
Best Practices for Integrating Data Grids into Data-Intensive Apps
Big Data Exclusive
AI helps create discord server bots
AI-Driven Discord Bots Can Track Server Stats
Artificial Intelligence Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

Bluehouse is in public beta

2 Min Read

The beef on how predictive analytics delivers business value

1 Min Read

“The consulting business may drive sales for a lot of IBM’s own technologies, as well. The company…”

2 Min Read

PROS Will Acquire Cameleon to Enhance Sales Effectiveness

10 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

ai in ecommerce
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence
data-driven web design
5 Great Tips for Using Data Analytics for Website UX
Big Data

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-24 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?