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According to David Norton, the co-inventor of the balanced scorecard approach to business performance monitoring, seven out of 10 organisations fail to execute on their strategy. The simple reason? They still lack adequate management tools.
That statement may be a little surprising given that a whole software sector has grown up over the past 20 years with the specific aim of helping strategic decision-making. But over that time, it has gone through many incarnations, suggesting that it has not quite got it right yet.
First, in the 1980s, there was the concept of executive information systems (EISs), a dashboard of key performance indicators for the chief executive and a few other senior managers – the only problem, EISs did not work and were beyond the capabilities of most (at the time) PC-illiterate CEOs. Then came decision-support systems, platforms that were largely used by specialist business analysts whose job it was to feed key data points to executives. The issue there: they were too removed from the day-to-day business operations to really know how to analyse effectively, plus by the time they had fed the information to executives the business had moved on.
In the 1990s, under the term business intelligence software, the scope of such tools has been progressively widened to provide relevant decision-making information and analytic capabilities to both senior and middle management. And latterly, analytic applications have tailored select business intelligence functions to specific business areas.
But in themselves, these technologies have not delivered the desired level of management insight and control – a situation that has become all too apparent in recent years as businesses have come under pressure to be more responsive to change, and (post-Enron, Arthur Andersen, et al) show higher levels of accountability and corporate governance.
In short, organisations need corporate performance management (CPM) technologies: sets of integrated tools and applications that cover the gamut of business planning, monitoring and analysis – that includes business modelling and optimisation, planning, budgeting and forecasting, scorecarding, financial consolidation, as well as generic query analysis and reporting.
But there is one other fundamental aspect to CPM. To facilitate analysis, organisations also require a data infrastructure that will enable them to pull data from multiple sources, combine it and make that available to the CPM applications in near real-time.
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