by Tony Lock and Dale Vile
One of the most versatile assets many organisations have in their IT infrastructure is the mainframe,
which in recent years has evolved to deal effectively with a wide range of workloads. One workload
that mainframe users may wish to consider again is data warehousing. In this paper we look
specifically at how the latest IBM System z capabilities could allow the mainframe to play a more
central role in a coordinated business intelligence strategy. We consider factors such as the potential
use of the mainframe in managing operational risk and control, the use of real-time BI, and the
increasing focus on the optimisation of running costs.
KEY POINTS
Process latency in the delivery of business information is no longer acceptable
Gone are the days when organisations could rely on a handful of analysts to periodically process ‘the
numbers’ on business performance to generate monthly management reports. In today’s business
environments, relying solely on this approach cannot maximise efficiency or competitiveness, as
those driving the business need to know about important developments before it is too late to act. The
need nowadays is for an on-demand, holistic, real-time view of business performance. As a
consequence, the modern business intelligence (BI) infrastructure must deliver consistent information,
proactively across the organisation in a timely, secure and cost effective fashion.
Flatter organisations, empowered workforces and more accessible technologies have
conspired to create new challenges
The flattening of organisational structures and the devolution of decision making tasks means that
more people today require management information to do their jobs. However most organisations are
not geared up to cope with this ‘democratisation of business intelligence’ – their core infrastructures
are not designed to deal with the rapid, secure and broad information delivery. Numerous ‘small
footprint’ solutions have sprung up independently at departmental, workgroup and even individual
employee level, causing significant information fragmentation. This leads to manual overheads,
incomplete views of the business, multiple versions of the truth, user frustration and ineffective
processes.
A more coordinated architectural approach is required, but it’s not that easy
The time has come for many organisations to adopt a coordinated architectural approach to business
intelligence. While deploying yet another local, independent data warehouse may appear a good idea,
this risks perpetuating the issue of fragmentation. A more centrally managed approach ensures the
enterprise operates using a secure, cost effective, single version of the truth which can be built upon,
rather than every system creating its own story and requiring individual management.
The answer for many might already be sitting in their data centre
For those organisations that already have a mainframe occupying the data centre, a pertinent
question is whether it could provide the joined up capabilities that may be lacking. Recent advances in
the IBM System z architecture, coupled with associated developments in software and tooling, plus
significant changes in mainframe pricing options can now provide a linchpin to enable a more
coordinated, secure, and cost effective architectural approach to solving the business intelligence
challenge, especially in scenarios where much of the business data resides on the mainframe,
thereby avoiding many costs and risks associated with data movement.
Content Contributors: Dale Vile & Tony Lock
Through our research and insights, we help bridge the gap between technology buyers and sellers.
Have You Read This?
Generative AI Checkpoint
From Barcode Scanning to Smart Data Capture
Beyond the Barcode: Smart Data Capture
The Evolving Role of Converged Infrastructure in Modern IT
Evaluating the Potential of Hyper-Converged Storage
Kubernetes as an enterprise multi-cloud enabler
A CX perspective on the Contact Centre
Automation of SAP Master Data Management