Big Data
requires to learn much about data as an asset and analytics. Data is the most
precious asset in an organization, the currency of the enterprise.
Companies’
data ecosystems have become complex and littered with silos. A large majority
of companies is still not able to make full use of Big Data advantages.
There are
many challenges with Big Data: Lack of knowledge, varying definitions &
expectations, different views about data sources and use cases, ignorance about
valuable data sources, technologies, etc.
Companies
must understand data across the entire data supply chain and their individual
stages: Identifying & leveraging data sources, importing, enhancement of
data value, combination with other data, generation of insight, and taking of
specific actions.
This means:
companies must mobilize data across the enterprise; deeply understand, analyze
and determine value of respective data; understand business use case and data
patterns to determine appropriate actions.
It requires
companies to commit to continuous discovery, experimentation, testing,
learning, adapting and innovation.
There are many approaches, solutions and
technologies presently offered in the Big Data domain and quickly evolving.
Companies need to be aware of the different options and their pros & cons
to combine those to an overall solution.
Continue part 2 out of 5
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