Difference Between Data Science and Data Analytics

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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Mtell

Founded in 2006, Mtell is a privately held company providing software solutions for managing the health of industrial equipment. Making machines smart, Mtell is the pioneer of machine learning for industrial maintenance and plays an important role in developing the industrial internet. Mtell-enabled machines know what’s normal and what’s not. They sense early warning of failures in minuscule patterns that humans cannot detect, and then they directly ask for inspection or precise maintenance well before a machine breakdown.

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33% of large-sized businesses will practice decision intelligence by 2023. In 2011, mobile business intelligence saw a jump of 260% in tablet sales. The global business intelligence market is expected to grow to over $33.3 billion by 2025.

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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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Infographic | July 1, 2022

But modern data workers also perform data science and data application development activities, which require additional commercial and open-source software.

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Today, enterprises are migrating their work-loads and apps to the cloud while generating and consuming more data than ever before. However, multi-cloud environments create new data protection challenges.

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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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Complying with GDPR with the Help of Data Virtualization

Infographic | August 22, 2022

GDPR is the European Union’s (including the UK) data protection law that came into effect on May 25, 2018. Such a data protection law also exists in the United States,known as the California Consumer Privacy Act.

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Spotlight

Mtell

Founded in 2006, Mtell is a privately held company providing software solutions for managing the health of industrial equipment. Making machines smart, Mtell is the pioneer of machine learning for industrial maintenance and plays an important role in developing the industrial internet. Mtell-enabled machines know what’s normal and what’s not. They sense early warning of failures in minuscule patterns that humans cannot detect, and then they directly ask for inspection or precise maintenance well before a machine breakdown.

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