Risks of Poor Data Quality Leading to False Assumptions
Bad data is more than an inconvenience.
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Bad data is more than an inconvenience.
In today’s data driven world, high quality data is key to the continuous success of an organization and vital for its transactional and operational processes. Yet according to Dun and Bradstreet, more than 50% of companies are still facing data quality challenges.
Transforming an organization to a truly digital powerhouse takes planning and teamwork, and there are plenty of things that can go wrong along the way.
Duplicate master data and missed opportunities for revenue, margin, and efficiency have been linked in case study after case study.
It’s funny when I talk about the “One Thing”, memories of the movie City Slickers come to mind. The scene where Jack Palance’s character, Curly tells Mitch, played by Billy Crystal the secret of life is (and I am paraphrasing here) “One Thing.” Just one thing you need to stick to.
Data managers play defensive tackle in the fight against poor-quality master data. They’re trying to fill data gaps and keep bad data from making it to the end zone, so to speak. They have as tough a job in the data management trenches as athletes do on the gridiron.
With stats flying around every day about how much new data is being generated by Internet of Things (IoT), social media, mobile devices and the cloud, it is no wonder that we feel swept up in this digital wave and feel there is no easy way to swim out.
Get a tailored demonstration of the industry’s only Adaptive MDM Platform and get answers to your questions.
Profisee Master Data Management (MDM) is how enterprises can finally solve the data quality issues that have been holding back so many strategic initiatives.
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