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Data Scalability Raises Considerable Risk Management Concerns

Smart Data Collective

Many businesses globally are dealing with big data which brings along a mix of benefits and challenges. A report by China’s International Data Corporation showed that global data would rise to 175 Zettabyte by 2025. This growth means that you should prepare to handle even larger internal and external data soon.

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Transforming FSI in ASEAN with Cloud Analytics

CIO Business Intelligence

Right from the start, auxmoney leveraged cloud-enabled analytics for its unique risk models and digital processes to further its mission. Particularly in Asia Pacific , revenues for big data and analytics solutions providers hit US$22.6bn in 2020 , with financial services companies ranking among their biggest clients.

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Building a Data Strategy for Defence Partners

Alation

It also recognised that more and more data was being harvested — but that challenges remained over how to extract truly valuable insight from it. It also set out a detailed plan to make data ‘ an enduring, strategic asset ’, with clear goals to be reached by 2025. What is a data strategy?

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IT leaders know they need to manage IT risk—but need help in execution

CIO Business Intelligence

Organizations big and small, across every industry, need to manage IT risk. trillion annually by 2025. based IT directors and vice presidents in companies with more than 1,000 employees to determine what keeps them up at night—and it comes as no surprise that one of their biggest nightmares is managing IT risk.

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7 Advantages of Using Encryption Technology for Data Protection

Smart Data Collective

However, according to a 2018 North American report published by Shred-It, the majority of business leaders believe data breach risks are higher when people work remotely. Whether you work remotely all the time or just occasionally, data encryption helps you stop information from falling into the wrong hands.

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The Gartner 2021 Leadership Vision for Data & Analytics Leaders Webinar Q&A

Andrew White

But we also know not all data is equal, and not all data is equally valuable. Some data is more a risk than valuable. Additionally, the value of data may change, and our own personal judgement of the the same data and its value may differ. Value Management or monetization. Product Management.