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| Market Research
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BI for all: Cliff Mills, NCC Research (February 2008)
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Making better use of information is vital for all organisations. It provides the foundation for improved decision making,
effective yet flexible management control, and the visibility and integrity of business operations.
To some extent, business intelligence applications have been deployed as tactical solutions to specific problems and
have, more often than not, been the preserve of specialist data analysts or IT technicians.
Today, there is a significant change in demand for BI at all levels within organisations, as senior executives, managers,
information workers and consumers all seek more information and clearer insights, to assist with common tasks and
processes.
Technology too has evolved, and given rise to the idea of pervasive BI, a framework that provides all these participants
with access to information that is relevant to their roles and activities within the organisation, delivered over many
different channels.
With the increasing amount of data present in organisations, this challenge is becoming more complex and a clear
information strategy is essential to deliver timely and meaningful information.
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Quality control: Alex Plenty, Deloitte Consulting (February 2008)
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In today’s highly competitive marketplace, organisations must strive to make best use
of the key assets they have available to them. One such asset is the information used
to drive the decision-making process. It is for this reason that information
management has been raised to the top of the CEO agenda and is not just an issue
for CIOs.
Organisations need to be able to trust the data on which they base decisions. Often,
companies do not realise the data they are using in their systems is of poor quality until
it is too late to rectify it. Prior to this discovery, however, the impact has already
reverberated throughout the entire organisation and becomes all the more damaging and
costly as it spreads through the data flows, from collection to business action. Worse still
– and not as easily quantified – is the loss of reputation and negative publicity for an
organisation whose data quality problems continue to perpetuate.
So how can organisations address data quality and develop an approach that addresses how data is collected,
stored, maintained, accessed and distributed in a way which minimises risk and maximises potential business
efficiency?
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