The document discusses simplifying analytics strategies. It recommends that companies focus on analyzing what is important for customers, stakeholders, and employees rather than trying to analyze all possible data. It also suggests using next-gen business intelligence, data visualization, data discovery techniques, and machine learning to gain fast insights from data and uncover real business opportunities. The key is recognizing that each path to data-driven insights is unique and placing action behind the insights.

1. Simplify Your Analytics Strategy
by Narendra Mulani

2. • Companies can get stuck trying to analyze all
that’s possible and all that they could do
through analytics,

3. • Take 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.

6. • Fast data = fast insight = fast outcomes.
• by creating a data supply chain built on a
hybrid technology environment
• a data service platform combined with
emerging big data technologies.

8. Next-Gen Business Intelligence (BI)
and data visualization
• Next-Gen Business Intelligence (BI) and data
visualization.
• 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.

10. Data discovery.
• Data discovery can take place alongside
outcome-specific data projects. Through the
use of data discovery techniques, companies
can test and play with their data to uncover
data patterns that aren’t clearly evident.

11. Machine learning and cognitive
computing.
• Machine learning is an evolution of analytics
that removes much of the human element
from the data modeling process to produce
predictions of customer behavior and
enterprise performance.

12. • Recognize that each path to data insight is
unique. The path to insight doesn’t come in
one single form.

13. • Once insights are uncovered, the next step is
for the business, of course, to make the data-
driven decisions that place action behind the
data. It is possible to uncover the business
opportunities in your data and increase data
equity, simply.