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Oxford DataPlan uses data science to predict the KPIs of listed companies51-200 Employees
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Oxford DataPlan uses data science to predict the KPIs of listed companies
Oxford DataPlan analyses more than 10 different data sources to build trackers out of the most relevant data. Proprietary Data include: receipt and industry panel data, webtraffic and webscraping data, social media and mobile app data, technographic data, industry panel data. Partner data include: card spending data, web search, and online purchase data. All trackers are put through a rigorous statistical verification process. They are designed to minimise the out of sample difference to company reported numbers to be accurate representations of company operating metrics. Backtests are shared with clients on the dashboard to demonstrate the power of each tracker. Trackers show a KPI estimate for every day which is delivered daily. The data is delivered through a web dashboard visualisation.
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