Data Architecture

Data Visualization: Why Does It Matter in Businesses?

February 9, 2022

Data Visualization
Learn data, and you can tell stories that more people don’t even know about yet but are eager to hear Data visualization helps to understand trends, outliers, and patterns in data. Data visualization tools help managers find information 28% faster.

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Ellicium Solutions Private Limited

Ellicium is a boutique Big Data solutions company, focused on solving complex data management issues pertaining to time-series and unstructured data. With an unparalleled understanding of data extraction, integration and analysis, we’re developing the next generation “Can do it yourself” cloud based solutions. We are a young team comprising of people from the fields of data management, data science, data visualization and data critique. We are all on a mission to really empower the business users with: fastest ways to access information and easiest ways to comprehend it. We take a radically different approach when it comes to data driven decision making. Our approach has always been to model or simulate the end result of how our data solutions would make life better for clients. It typically entails crystallizing the business benefits & more importantly the ease with which such data solutions would be embedded into our client’s BAU; then comes the technology and competencies, not the

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Importance of Big Data Analytics in Businesses

Infographic | February 4, 2022

Big Data Analytics is important in business as it helps organizations harness their data and use it to identify new opportunities. Global big data and business analytics market size will reach Leveraging a big data analytics solution helps organizations unlock their strategic values and take full advantage of their assets. Big data initiatives were rated as “extremely important” by 93% of companies $684.12 billion by 2030.

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Importance of Data Encryption

Infographic | March 30, 2022

Reasons Why Encrypting Data is Crucial Encryption is the last line of defense Encryption Can Increase Consumer Trust Encryption Can Help to Protect Remote Workers

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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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Maximize the value of your data

Infographic | October 1, 2021

Some of the top benefits organizations saw from machine learning include lower costs, improved workforce productivity, increased sales, and much more. Red Hat and Intel can help you quickly tap into these benefits from one unified platform that focuses on pulling value from data with AI and analytics.

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5 Biggest Enterprise Data Science Trends to Unlock Success in 2022

Infographic | June 1, 2022

Data science is a powerful source of innovation and business value.

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Importance of Business Intelligence Strategy in Businesses

Infographic | February 15, 2022

Business Intelligence (BI) strategy helps organizations run smoothly and efficiently.

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Spotlight

Ellicium Solutions Private Limited

Ellicium is a boutique Big Data solutions company, focused on solving complex data management issues pertaining to time-series and unstructured data. With an unparalleled understanding of data extraction, integration and analysis, we’re developing the next generation “Can do it yourself” cloud based solutions. We are a young team comprising of people from the fields of data management, data science, data visualization and data critique. We are all on a mission to really empower the business users with: fastest ways to access information and easiest ways to comprehend it. We take a radically different approach when it comes to data driven decision making. Our approach has always been to model or simulate the end result of how our data solutions would make life better for clients. It typically entails crystallizing the business benefits & more importantly the ease with which such data solutions would be embedded into our client’s BAU; then comes the technology and competencies, not the

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