Collaborative Mainframing

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This week in San Jose, I attended my first SHARE conference, both as an attendee and as a speaker. Having grown up in the world of business intelligence and analytics, it was interesting to get an insight into the world of the mainframe – and to meet many of the world’s leading experts in this timeless platform. During my session (“Information at the Speed of Thought — How Social Business Solutions Power Collaborative Analytics”) we had active discussions around a couple of very interesting topics:

  1. The need for curation and governance in support of self-service business decision-making;
  2. Balancing the “need for speed” in accessing and collaborating around business information with the need for security and controls around the data.

In both cases, I found it interesting to learn that the mainframe is the perfect power tool to facilitate these needs. By providing an easy mechanism to connect directly to the underlying mainframe data, visualize it, and then share it appropriately, users (including just about every bank in the world) avoid the need for a costly, time-consuming “ETL” approach with all the inherent limitations that approach introduces, including timeliness of data, effective governance and lineage of the data, difficulty keeping pace with business users’ evolving information needs, and the like.

One analogy, which seemed to resonate during my session, was the idea that finding a business insight and sharing it with colleagues should be as easy as “taking a picture and posting it on Facebook.” The increasing complexity of the world we all work in is making it imperative for us to work collaboratively to solve business problems. The old world of silos and “information hoarding” is not effective, and the information needed to support business decision-making needs to be quickly accessible, wherever it resides.

In this new world of #alternativefacts and #fakenews, it’s now more important than ever to be able to infuse business social networks with curated, governed data in support of informed, fact-based decision-making.

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Patrick Spedding

Managing Director, BI R&D at Rocket Software
Patrick Spedding is Senior Director of BI R&D for Rocket Software, and IBM Champion for IBM Collaboration Solutions. He is also a Non-Executive Director on the Board of Eastside Radio in Sydney, Australia. Prior roles include Director of Product Management for IBM Cognos, Director of Field Marketing for Cognos, Founder of Tableau partner See-Change Solutions, and SAS Solution Manager for BI and Strategy Management. Patrick's qualifications include an MBA degree in Marketing (AIU), Diploma in Management (University of Michigan), BSc (Hons) in Mathematics (Loughborough University, UK), Fellow of the Australian Institute of Management (FAIM), and member of the Australian Institute of Company Directors (AICD).
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