Predictive Analytics, Big Data, and SAP: See Further Ahead

June 7, 2016

Forward-thinking companies are already using predictive analytics to achieve greater business value. You can keep up, influence your business outcomes in real time, and extract more value from your data with predictive analytic solutions from SAP. Transform your future and gain a competitive edge by uncovering trends and untapped opportunities from vast volumes of data all in real time...

Spotlight

DataRobot

DataRobot offers a machine learning platform for data scientists of all skill levels to build and deploy accurate predictive models in a fraction of the time it used to take. The technology addresses the critical shortage of data scientists by changing the speed and economics of predictive analytics. The DataRobot platform uses massively parallel processing to train and evaluate 1000's of models in R, Python, Spark MLlib, H2O and other open source libraries. It searches through millions of possible combinations of algorithms, pre-processing steps, features, transformations and tuning parameters to deliver the best models for your dataset and prediction target…

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Data Science vs Computer Science vs Data Analytics

Infographic | May 14, 2021

With the rapid development of the technology sector, it can be quite a challenge to keep up with all the niches and stay current on their advancements. Of the many fields that are responsible for the increasing buzz in the sector, Data Science, Computer Science, and Data Analytics are three critical domains that spearhead the revolution in technology.

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Monetizing Data The Concept of Value Engineering

Infographic | April 14, 2021

Data Analytics is the way forward for organizations looking to maintain a competitive advantage. The best way to boost the bottom line and secure a bright future is by monetizing data. Start your Data Analytics journey right away and boost the economic value driven by your data.

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8 BIG DATA ANALYTICS TRENDS TO EXPECT IN 2021

Infographic | February 12, 2021

Organizations collect huge volumes of data and use efficient methods, including digitization by data entry companies, to turn this data into usable information. Big data analytics refers to the use of advanced techniques to analyze data for constructive use. Emerging technologies such as artificial intelligence and machine learning are driving changes in big data analytics. Let’s take a deeper dive into what’s in store for big data analytics in the coming year.

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Data Analytics Infographic Elements Flat Poster vector image

Infographic | March 12, 2020

The best selection of Royalty Free Data Analytics Vector Art, Graphics and Stock Illustrations

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Data analytics infographic vector image

Infographic | March 12, 2020

Data analysis is a process of inspecting, cleansing, transforming and modeling data with the goal of discovering useful information, informing conclusion and supporting decision-making.

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Difference Between Data Science and Data Analytics

Infographic | March 12, 2020

Dealing with unstructured and structured data, Data Science is a field that comprises everything that related to data cleansing, preparation, and analysis.Data Science is the combination of statistics, mathematics, programming, problem-solving, capturing data in ingenious ways, the ability to look at things differently, and the activity of cleansing, preparing, and aligning the data.In simple terms, it is the umbrella of techniques used when trying to extract insights and information from data.

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Spotlight

DataRobot

DataRobot offers a machine learning platform for data scientists of all skill levels to build and deploy accurate predictive models in a fraction of the time it used to take. The technology addresses the critical shortage of data scientists by changing the speed and economics of predictive analytics. The DataRobot platform uses massively parallel processing to train and evaluate 1000's of models in R, Python, Spark MLlib, H2O and other open source libraries. It searches through millions of possible combinations of algorithms, pre-processing steps, features, transformations and tuning parameters to deliver the best models for your dataset and prediction target…

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