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Cyberattacks have spearheaded to become more than common over the past few years. Even powerful companies like Adobe, Sony, Target, and others have faced major cyber attacks by cyber criminals and frauds. A recent study in 2018 revealed that a record-high of 10.52 billion malware attacks were identified in 2018. These statistics do not surprise the cybersecurity experts as they believe cybercrimes might prove to be more profitable than illicit drug trafficking.

Most enterprises have re-aligned their business models to accelerate digital transformation and revitalize data analytic tools to understand changing market needs and/or customer preferences. But still, there is a long road ahead. While data collection and management across different sources is now standard practice for enterprises, there are high chances of it being fragmented, siloed, or even uncleansed.

 

Around 70% of manufacturing organizations in the U.S. and Europe have adopted a digital transformation (DX) strategy (according to the IDC research). These strategies vary widely in terms of quality and focus. Some companies (but not enough) understand that DX should cover both vertical and horizontal perspectives. Transformation should go beyond factory walls and impact the supply chain, the product and services portfolio, and the revenue side of the business.

 

 

If you work in finance, you have the keys to the "city" with all the data at your fingertips. Your department is one of the few that have a lens into the overall health of the company. It is ironic that finance departments have all this information and still struggle with old data, old tools and spend most of their time reconfiguring tools, data and talent to provide the executive with the necessary financial data. 

In this two-part series, I explore the two phases of digital transformation that many organizations are undergoing. In part one, I dig into what organizations have done in the first phase of transformation and why they must think differently as they embark on the second phase. In part two, I describe how organizations should approach the second phase of transformation in order to successfully transform their data and analytics estates – with Spark as the foundation of those changes.

Data is now integrated into every industry and highlight of the global market, and much of current economic growth would not be possible without them, just as it would not be possible without other important factors of production such as physical assets and human resources.

N owadays a lot of companies try to solve the problems associated with the adaptation of the solutions designed for standard on-premise servers to work with cloud services. In this case, companies migrate their infrastructure, architecture, and services to the cloud providers like AWS and others. What are the main advantages of clouds over physical on-premise servers, and how is the migration process in large companies going? Keep reading to find out.