Benefits of Data Modeling for Businesses

Infographic | February 7, 2020

There is no question that a digital transformation is underway, as e-commerce is quickly taking a lead role in the B2B world. Machine Learning-based technologies, such as Artificial Intelligence (AI), are also increasing in popularity, with businesses looking for the best option to stay ahead of the competition. And, the digital economy does not appear to be slowing down anytime soon.

Infographic | August 17, 2021

The way in which organizations can transfer personal data changed significantly following the CJEU’s judgement in the Schrems II case in 2020. This infographic highlights a number of global data transfer mechanisms that organizations can use to transfer personal data including EU adequacy decisions, Binding Corporate Rules, and Standard Contractual Clauses.

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.

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.

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

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.