While the interests in analytics and resulting benefits are increasing by the day, some businesses are challenged by the complexity and confusion that analytics can generate. Companies can get stuck trying to analyze all that’s possible and all that they could do through analytics, when they should be taking that next step of recognizing what’s important and what they should be doing — for their customers, stakeholders, and employees. Discovering real business opportunities and achieving desired outcomes can be elusive.

3. Companies are increasing their interest in
analytics and experiencing the resulting
data-driven benefits, such as improved
business operations or customer
engagement.

4. At the same time, some businesses remain
challenged by the complexity that
analytics can generate, and find it difficult
to uncover real business opportunities
and achieve their desired outcomes.

9. 1. Next-Gen Business Intelligence (BI)
and data visualization.

10. At its core, next-gen business
intelligence is bringing data and analytics
to life to help companies improve and
optimize their decision-making and
organizational performance.

11. BI turns an organisation’s data into
an asset – it places the right data at
the right place (mobile, laptop, etc.),
at the right time.

13. When more insights
and patterns are
discovered, more
opportunities to drive
value for the
business can be
found.

15. Analytics Applications can be
industry-specific, flexible, and tailored
to meet the needs of the individual users
across organizations — from marketing
to finance, and levels from C-suite to
middle management.

17. With machine learning, data scientists are
usually needed to determine the set of
algorithms that can solve business
problems and learn from the data to find
patterns, and apply its knowledge to
future situations.