Too Much Data and Not Enough Data Scientists


With connected people, machines and processes, we’re producing more data than ever before. The extension of this is that more companies are realising that they need to make use of advanced analytics and machine learning to keep up with the curb. Until now only data scientists have been perceived to be able to navigate big data and find the buried insights that can affect real business change, in essence they’ve become the bottleneck. . Given that the optimal use of big data requires knowledge of coding, statistics, machine learning, database management, visualization techniques and industry-specific knowledge, Oscar Studio edition achieves this by combining multiple skill sets in a single platform. By automating the machine learning algorithms data scientists use to analyse big data, Oscar empowers ordinary business users with it’s studio edition to become citizen data scientists, able to act and find buried insights in support of company data scientists.

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Effect a Digital Transformation in Your Business


The goal of facilitating citizen data scientists is not to replace current data scientists, but to transform company processes by complementing them with a set of power users who can use the Oscar studio edition to pick up where data scientists leave off and fill in any skill gaps. Oscar links the efforts of trained data scientists with citizen data scientists. Once a process is in place, the traditional barriers that data scientists face to buy-in – both upstream to management and downstream to staff – begin to fall as information democracy puts more data into more hands. Data scientists create analytical models, train them, score them, prepare them to go into production and export them as code. In practice, it makes sense for data scientists to stick to the work of advanced analytics and statistics for which they are trained, creating workflows for data preparation and modeling. When those workflows are ready to test or take into production, the data scientists use the Oscar Data Scientist edition to push them to the citizen data scientists, who run them and ensure they work as designed. By tranforming operations in this way company productivity can be massively improved by Oscar.

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Superior Insights with Precognitive Analytics


Predictive analytics can only take you so far, this is because predictive analytics only looks at historical data, rare events that aren’t in the historical data can’t be predicted using traditional methods. This is why Massive Analytic has invented it’s patented Artificial Precognition technology. Oscar’s precognitive analytics addresses the uncertainty in traditional prediction models. By using a combination of possibility theory, uncertainty theory and traditional statistics Oscar isn’t restricted to just looking back to make predictions. With Oscar it’s possible to look at the signs all around you – at the possibilities of what might happen, not just what happened in the past. Precognitive analytics empowers users to make the right decisions by providing more accurate prediction models – and it can all be done by business users in the studio edition.

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Built From the Ground Up for Big Data


Typically many data scientists will use Python and ‘R’ to analyse big data, these languages require lots of time and resources to analyse large data sets. The whole process requires manually intensive data science and ends up giving far from optimal decision outcomes. This is because those languages weren’t designed for big data which means that they don’t scale easily. Oscar was built from the ground up to cater to big data, this is why it runs on top of Spark – a superfast framework for processing big data, that can run up to 100 times faster than Hadoop. What’s more Oscar’s processes are coded in Scala, a programming language that does scale to big data. By running on top of a designed for big data architecture Oscar provides much faster answers to business queries and can provide those answers no matter how big your business grows.

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Increase Productivity With User Centric Features


All Oscar’s features have been designed to be intuitive and user friendly to increase productivity and reduce the decision episode. Oscar’s GUI makes navigating user directories easy and sharing data, dashboards and models can be done in just a few clicks. This ease of use extends to uploading data as well, as Oscar makes data preparation straight forward by automating the scripting usually necessary to deal with nulls and other problems with the data. Oscar’s storydashboards combine self-service machine learning with infographics in a browser. Reduce complicated dashboards to just a few key charts and infographics to accelerate understanding and the decision episode. Collaborate by sharing storydashboards and insights on personal and group levels with ease. Create a culture in your business where insights and data are shared and productivity is maximised.

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