Category Archives: Data Quality

Leverage your data with improved analytical capabilities

By Josh Crampton on April 30, 2019. Categorised in Data Management, Data Quality, Internet of Things, Services, Uncategorized

To remain relevant in today’s highly-competitive utilities market, companies must make the most of the vast amounts of data that they collect. Both digital and data transformation processes are needed to set these companies along the right transitional path, as they begin to harness the power of analytics. Utilities have been comparatively slow to adopt […]

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A-one+ Improves Data Quality & Operational Effectiveness with the Help of Miso

By Josh Crampton on January 16, 2019. Categorised in Data Management, Data Quality, FME, Services

Our recent project with A-one+ was a real success. Continue reading for a teaser of the full case study coming soon… Project Goals Improve effectiveness of maintenance regimes. Reduce operational costs through process automation. Provide a slick digital solution to ease manual strain of data processing. Solution Accurately identifies assets only within the A-one+ network […]

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FME tackles more than spatial data…

By Sam Cliff on October 17, 2017. Categorised in Data Quality, FME

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  Many organisations use FME to handle their spatial data – but why stop there? It’s capable of handling the trickiest of data management challenges. Here’s how one customer used FME to automate their payment data processes:   The Challenge The Council needed to access payment data generated by third parties, often manually logging into […]

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Navigating the data quality minefield

By Sam Cliff on July 14, 2017. Categorised in Data Management, Data Quality, FME

Your organisation never stands still, with data continually flowing in and out of your systems at an impressive rate. But there is one issue than most organisations struggle to cope with; controlling the accuracy of data received from third parties. The consumption of poor quality data can cause significant knock-on effects – bad data leads […]

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