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02 May '15 | Debjyoti Paul

German Shoppers: Meet Them in the Fast Lane to Phy-gital

15 January '15 | Ralf Reich

Shoppers Will Share Personal Information (But They Don’t Want to be “Friends”)

15 January '15 | Anil Venkat

Modernize or Perish: Property and Casualty Insurers and IT Solutions

14 January '15 | Manesh Rajendran

Benelux Reaches the Phy-gital Tipping Point: Omnichannel Readiness is Crucial

13 January '15 | Anil Gandharve

The New Omnichannel Dynamic: Finding Core Principles Across Industries

13 January '15 | Debjyoti Paul

Technology does not disrupt business – CIO day 2014 Roundup

02 December '14 | Anshuman Singh

Apple Pay – The Best Is Yet To Come

02 December '14 | Indy Sawhney

Digital transformation is a business transformation enabled by technology

01 December '14 | Amit Varma

3 Stages of FATCA Testing and Quality Assurance

06 October '14 | Raman Suprajarama

3 Reasons why Apple Pay could dominate the payments space

18 September '14 | Gaurav Johri

Beacon of Hope: Serving Growth and Customer Satisfaction

05 August '14 | Debjyoti Paul

The Dos and Don’ts of Emerging Technologies Like iBeacon

30 July '14 | Debjyoti Paul

What You Sold Us On – eCommerce Award Finalist Selections

17 July '14 | Anshuman Singh

3 Steps to Getting Started with Microsoft Azure Cloud Services

04 June '14 | Koushik Ramani

8 Steps to Building a Successful Self Service Portal

03 June '14 | Giridhar LV

Innovation outsourced – a myth or a mirage or a truth staring at us?

13 January '14 | Ramesh Hosahalli

What does a mobile user want?

03 January '14 | Gopikrishna Aravindan

Measuring ROI of mainframe batch optimization

Posted on: 13 June '13

In our introductory blog on this topic, we discussed the primary business impacts of failing to perform mainframe batch optimization. In this blog, we will touch upon the importance of planning for, and measuring the ROI of the mainframe batch optimization methodology.

Step three of the methodology considers defining the success criteria. As with any initiative, the most important part of measurement is to plan what will be measured. For mainframe batch optimization, it is clear that an assessment of the overall ecosystem will yield several dependencies, business process duplication as well as data inconsistency and duplication. As we build out short-term initiatives as well as a long-term roadmap to resolve these gaps, the benefits case can be built out.

It is useful to segregate the benefits case into various categories to avoid capturing only the most obvious:

  1. Cost of execution: Can we minimize CPU cycles? This is the most common low hanging fruit that most initiatives go after, by either improving performance or consolidating multiple processes.
  2. Business opportunity lost: Several cross sell or upsell programs may depend on how well and how quickly the programs run.
  3. Time to market and cost of new business opportunities: Mainframe batch optimization is an important contributor to launch new initiatives quickly and effectively.

Download the white paper “Business Agility through Mainframe Batch Optimization” to learn more. However, it is important to execute activities at each step of the methodology to meet business objectives in a comprehensive fashion.

Ajo Paul

Ajo Paul is a Senior Project Manager with more than 15 years of expertise in mainframe technologies. He heads the Mainframe Center of Excellence. Ajo and the CoE team have been instrumental in the growth and nurturing of mainframe practice through various initiatives, solution accelerators specific to maintenance, migration and modernization projects.