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
    unusual trading activity
    Signal Or Noise? A Decision Tree For Evaluating Unusual Trading Activity
    3 Min Read
    software developer using ai
    How Data Analytics Helps Developers Deliver Better Tech Services
    8 Min Read
    ai for stock trading
    Can Data Analytics Help Investors Outperform Warren Buffett
    9 Min Read
    media monitoring
    Signals In The Noise: Using Media Monitoring To Manage Negative Publicity
    5 Min Read
    data analytics
    How Data Analytics Can Help You Construct A Financial Weather Map
    4 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Leverging BPM and BI to create agile business processes
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Business Intelligence > Leverging BPM and BI to create agile business processes
Business Intelligence

Leverging BPM and BI to create agile business processes

JamesTaylor
JamesTaylor
6 Min Read
SHARE

A crossover session combining WebSphere BPM and Cognos BI.  Linking BI and BPM allows you to leverage insight from your information across multiple applications and processes. You can extend process execution data to BI users, you can improve decision points within your process using BI and you can enhance business activity monitoring with BI. The presentation uses some scenarios to illustrate.

The scenarios are within healthcare claims processing with a simple process to bring in the claim, price the claim and then adjudicate the claim. The actual customer who was the basis for the scenario had a partly manual/partly automated process and assigned people to the claim in certain circumstances. They uses WebSphere BPM, Cognos BI, InfoSphere Warehouse for cubes and DB2. Scenarios:

First scenario is about improving the human decision points within the process. In this case, using information from another system (provider information) to help someone in the claims process assign the right provider. Used a business space to pull information from the process server, a task …

More Read

10 Guiding Principles for Better Business Intelligence
You Have to Segment Your List
A Cloudburst of Financial Advisor CRM Options: What to Look For
Cloud Computing Lingo
BI’s Dirty Secrets – The Unfortunate Domination of Manually-Coded Extracts


Copyright © 2009 James Taylor. Visit the original article at Leverging BPM and BI to create agile business processes.

A crossover session combining WebSphere BPM and Cognos BI.  Linking BI and BPM allows you to leverage insight from your information across multiple applications and processes. You can extend process execution data to BI users, you can improve decision points within your process using BI and you can enhance business activity monitoring with BI. The presentation uses some scenarios to illustrate.

The scenarios are within healthcare claims processing with a simple process to bring in the claim, price the claim and then adjudicate the claim. The actual customer who was the basis for the scenario had a partly manual/partly automated process and assigned people to the claim in certain circumstances. They uses WebSphere BPM, Cognos BI, InfoSphere Warehouse for cubes and DB2. Scenarios:

First scenario is about improving the human decision points within the process. In this case, using information from another system (provider information) to help someone in the claims process assign the right provider. Used a business space to pull information from the process server, a task list, forms for the task and a report on providers in a graphical format so they can select the best performing provider.

The second scenario enhances business activity monitoring with BI. The BAM tools provide real-time information on the health of a process and this can be combined with historical trending and analysis from the BI environment to make it easier to see what matters and what to do about it. Again, a business space is the vehicle for pulling all this together. For instance, the BAM environment shows that claims duration is higher than usual but this information can be presented in the context of duration trends over time and customer satisfaction (drawn from another system) to see how much of a problem it might be.

For both these scenarios they take the deployed process and monitoring solution, export cube definitions from WebSphere Business Monitor, implement DB2 connection and create a Cognos data source for the monitoring database, import the cube definition into Cognos and create a project/package that can be used to create reports ready to integrate into business spaces.

The third scenario is one of automating processing and accessing information in the BI system to impact that processing. In this case a step is added that pulls data from Cognos, a set of candidate providers in this example, that can then be used in the automated processing step, where rules are selecting a provider. The idea is that the list of providers can be built using information about the current claim and that this will make it easier to select the right provider. A web service call is used to get an XML response from Cognos with the candidate providers based on the current claim. Cognos provides APIs to access this information and expose it as a web service. For this step they designed the process, found a suitable report in Cognos, created a web service to expose the report and return XML and then integrated this as a web service call from the process.

The last scenario used the BI system to trigger events based on reports/analysis and then consumed these events in the BAM environment. Steps involved defining the monitor model and the inbound event for which business monitor is going to watch, defining the alert that will be generated when the event is received, finding the report that will pull the information to generate the event and then defining an event condition in Cognos and using Cognos Event Studio to add a web service to generate the event.

I am out of battery so have to stop here. Some interesting scenarios showing how rules, process and BI can be used together but also showing, to me at least, how executable analytics using data mining and predictive models would get you further.

Previous


Link to original post

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

ai driven task management
Reducing “Work About Work” with AI Task Managers
Artificial Intelligence Exclusive
data center uptime
Why Rodent-Resistant Conduits Are Critical for Data Center Uptime
Big Data Data Management Exclusive Risk Management
big data and AI
The Intersection of Big Data and AI in Project Management
Artificial Intelligence Big Data Exclusive
data migration risk prevention
Best Approach to Risk Management for Data Migration in Data-Driven Businesses
Big Data Data Management Exclusive Risk Management

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Boston TDWI Chapter Meeting (updated agenda)

2 Min Read

Outsourcing, Off-shoring and Near-shoring – what works or doesn’t for BI & DWH

15 Min Read

VC Investment Analytics on 20 Years of Investment Data

4 Min Read

First Look – New Visual Numerics products

5 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 is improving the safety of cars
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence
AI and chatbots
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?