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Optimisation is about monitoring, reporting and beyond

Business strategies today rely more heavily on technology than ever before. But while these strategies have grown and evolved to respond to changing market conditions, many companies have found that their technology portfolio has not changed to support these new directions.

  • We have multiple instances of customer, product and supplier data
  • It takes a long time to gather reliable management information
  • Our customers complain that we don’t get their details right
  • Our business runs on spreadsheets
  • Our order to cash and procure to pay processes are beset by delay, error and rework
  • Our management reports don't add up

Do these complaints seem familiar?

These are common symptoms of poor data quality. Business relies heavily on information technology to support day to day operations and provide intelligence and insight on performance. Technology in turn is only as good as the data that runs through it – ‘rubbish in, rubbish out’ was always – and remains – a fundamental truism of technology.

When a call centre operator misspells a customer name or captures their address incorrectly, that simple error can create expensive problems down the line. The same applies when simply sending mail to the wrong place, or when failing to identify that the customer presents a risk to your business because the system failed to link to another account where the same customer defaulted on a payment.

Deloitte’s optimisation services introduce a well-tested approach to bringing technology solutions back in line with business strategy. Measuring return on investment is a complex process. Establishing a common set of tangible measures of system usage is the starting point. Developing a sustainable mechanism to continually access system usage and drive improved performance is the key to increasing return on investment and user satisfaction.

Our experience shows there is a positive ROI to be achieved by pinpointing and tackling data quality issues. We have a structured approach to tackling it: first you have to understand the quality of your data right now, then identify the impact to the business if data quality is poor. If that impact is sufficiently serious, controls, metrics, training and governance are needed to stop further degradation – some cleansing of existing data may also be required. Our data quality and maturity assessment is a fast and effective way of quantifying the problem.

How Deloitte can help