Insightful series of articles by current CDOs.
Vital discussion as too many Big Data Projects fail to deliver expected results. Even more so as AI, Robotic Process Automation (RPA), Bots, Predictive Analytics come together to replace a high proportion of jobs.
There is a great danger that these hide the real data layer(s) being used and deliver poor results. If we are subject to automatic decision making we are subject to sub-optimal decisions based on faulty data.
Or causal relationships that are false.
Data has always been at the heart of analytics, BI, MI and decision making and always will. As there is an increasing gap between business users and data the role of the CDO becomes more important.
Suggest you follow the link to article on LinkedIn.
All of this is before you stop and look at the small mistakes that are happening on a daily basis that, when you add them all up, are costing your company time and money that you don’t want to waste. To give you a simple example, if someone in your sales department enters the wrong company name in the billing name field on the CRM such as ACME Ltd rather than ACME (UK) Ltd so an invoice is raised on 90 day payment terms for the wrong company and you don’t find out until day 89. So because the sales team made a tiny error it has cost the company 90 days cash flow. Or how about reputational damage because you stake your reputation on flawed data that you were convinced was right?