Data is clearly not what it used to be! Organizations of all types are finding new uses for data as part of their digital transformations. Examples abound in every industry, from jet engines to grocery stores, for data becoming key to competitive advantage. I call this new data because it is very different from the financial and ERP data that we are most familiar with. That old data was mostly transactional, and privately captured from internal sources, which drove the client/server revolution. New data is both transactional and unstructured, publicly available and privately collected, and its value is derived from the ability to aggregate and analyze it. Loosely speaking we can divide this new data into two categories: big data – large aggregated data sets used for batch analytics – and fast data – data collected from many sources that is used to drive immediate decision making. The big data–fast data paradigm is driving a completely new architecture for data centers (both public and private).To read this article in full, please click here
Data is clearly not what it used to be! Organizations of all types are finding new uses for data as part of their digital transformations. Examples abound in every industry, from jet engines to grocery stores, for data becoming key to competitive advantage. I call this new data because it is very different from the financial and ERP data that we are most familiar with. That old data was mostly transactional, and privately captured from internal sources, which drove the client/server revolution. New data is both transactional and unstructured, publicly available and privately collected, and its value is derived from the ability to aggregate and analyze it. Loosely speaking we can divide this new data into two categories: big data – large aggregated data sets used for batch analytics – and fast data – data collected from many sources that is used to drive immediate decision making. The big data–fast data paradigm is driving a completely new architecture for data centers (both public and private).To read this article in full, please click here
Today, there are new and changing uses of data in the digital economy. The big questions however are, who is winning with data, where is this data being kept, what makes new data different, when should data be kept, moved, deleted or transformed, how should data be valued, and why data is so much more important than it used to be?Data is one of the most important assets that any company has, but it’s surprising that we don’t put the same rigor into understanding and measuring the value of our data that we put into more traditional physical assets. Furthermore, should data be depreciated as an asset? Or perhaps it appreciates like art. Counter-intuitively, the answer is “yes” to both.To read this article in full or to leave a comment, please click here
Today, there are new and changing uses of data in the digital economy. The big questions however are, who is winning with data, where is this data being kept, what makes new data different, when should data be kept, moved, deleted or transformed, how should data be valued, and why data is so much more important than it used to be?Data is one of the most important assets that any company has, but it’s surprising that we don’t put the same rigor into understanding and measuring the value of our data that we put into more traditional physical assets. Furthermore, should data be depreciated as an asset? Or perhaps it appreciates like art. Counter-intuitively, the answer is “yes” to both.To read this article in full or to leave a comment, please click here
Joan Wrabetz