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Seven steps to actionable personal analytics and discovery

by on Jan 24, 2013


Organizations today want to be driven by data. They want to ...

Organizations today want to be driven by data. They want to
anchor daily and strategic decisions in a bedrock of solid,
extensive, and timely analysis and reporting. Organizations want to
reach out to more data sources and integrate diverse data to gain
single views of important business objects and domains, including
customers, products, and services. Business intelligence (BI) and
analytics are essential technologies, methods, and processes to
support data-driven decisions. However, in most organizations,
only a minority of users can access them. This needs to change if
data-driven objectives are to be achieved.
Past attempts at extending BI out to users in operations have
been met with mixed success. Users have gained significant
advantages, including better data quality, data access, and
reporting; yet, they are frustrated by their inability to tailor the BI
environment to their personal needs. Customizing the environment
and performing ad hoc, what-if analytical queries can require
significant IT involvement. Many organizations are deepening
their analytical power by investing in hiring specialists dedicated
to marketing, finance, or other business functions to implement
data mining tools and methods; however, the mass of users share
only indirectly in the fruits of their labors. Most users cannot do
advanced discovery analysis on their own.
Personal, self-service BI and analytics tools are now available
that can give users more control over how they view and access
data and the reports, dashboards, and visualizations they need
to perform their roles in the enterprise. Easier deployment and
configuration, improved self-service features, and technology
advances such as in-memory computing are giving users work
environments that are robust enough to perform significant BI and
analytics processes without involving IT at every step, as has been
necessary in the past.
This TDWI Checklist Report details seven steps toward personal BI
and analytics success. Note that IT is not left out of the picture;
on the contrary, this checklist shows that IT has an important
role to play in guiding users and provisioning enterprise data
resources. Users are more productive when personal, self-service
BI and analytics technologies are well integrated with enterpriselevel



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Seven steps to actionable personal analytics and discovery Seven steps to actionable personal analytics and discovery Document Transcript