By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    data Analytics instagram stories
    Data Analytics Helps Marketers Make the Most of Instagram Stories
    15 Min Read
    analyst,women,looking,at,kpi,data,on,computer,screen
    What to Know Before Recruiting an Analyst to Handle Company Data
    6 Min Read
    AI analytics
    AI-Based Analytics Are Changing the Future of Credit Cards
    6 Min Read
    data overload showing data analytics
    How Does Next-Gen SIEM Prevent Data Overload For Security Analysts?
    8 Min Read
    hire a marketing agency with a background in data analytics
    5 Reasons to Hire a Marketing Agency that Knows Data Analytics
    7 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-23 SmartData Collective. All Rights Reserved.
Reading: Leverging BPM and BI to create agile business processes
Share
Notification Show More
Aa
SmartData CollectiveSmartData Collective
Aa
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
Last updated: 2009/05/06 at 11:42 PM
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

ai low code frameworks

AI Can Help Accelerate Development with Low-Code Frameworks

Tackling Bias in AI Translation: A Data Perspective
How AI is Boosting the Customer Support Game
AI-Based Analytics Are Changing the Future of Credit Cards
Enterprises Are Leveraging the Benefits of AI-Driven ERPs


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

JamesTaylor May 6, 2009
Share This Article
Facebook Twitter Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

ai low code frameworks
AI Can Help Accelerate Development with Low-Code Frameworks
Artificial Intelligence
data Analytics instagram stories
Data Analytics Helps Marketers Make the Most of Instagram Stories
Analytics
data breaches
How Hospital Security Breaches Devastate Local Communities
Policy and Governance
analyst,women,looking,at,kpi,data,on,computer,screen
What to Know Before Recruiting an Analyst to Handle Company Data
Analytics

Stay Connected

1.2k Followers Like
33.7k Followers Follow
222 Followers Pin

You Might also Like

ai low code frameworks
Artificial Intelligence

AI Can Help Accelerate Development with Low-Code Frameworks

12 Min Read
data perspective
Big Data

Tackling Bias in AI Translation: A Data Perspective

9 Min Read
How AI is Boosting the Customer Support Game
Artificial Intelligence

How AI is Boosting the Customer Support Game

6 Min Read
AI analytics
AnalyticsArtificial IntelligenceExclusive

AI-Based Analytics Are Changing the Future of Credit Cards

6 Min Read

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

giveaway chatbots
How To Get An Award Winning Giveaway Bot
Big Data Chatbots Exclusive
ai is improving the safety of cars
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Lost your password?