Businesses are challenged by complex analytics that can generate confusion instead of insights. Companies should simplify their analytics strategy by focusing on the most important data first to uncover real business opportunities and achieve desired outcomes. They can do this by creating a hybrid data environment that enables fast data delivery and real-time analytics, speeding up decision making. Delegating analytics work to technologies like next-gen business intelligence and data visualization can help turn data into useful insights without needing to analyze everything possible.

1. Simplify Your Analytics
Strategy

2. • 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
1st Insight:

3. • Discovering real business opportunities and
achieving desired outcomes can be elusive.
• companies should pursue a simpler path to
uncovering the insight in their data and making
insight-driven decisions that add value.

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

5. • Environment enables businesses to move,
manage, and mobilize the ever-increasing
amount of data across the organization for
consumption faster than previously
possible.

6. • Real-time delivery of analytics speeds up
the execution velocity and improves the
service quality of an organization.

7. 2nd Insight
• Delegate the work to your analytics technologies.
• Uncovering data insights doesn’t have to be
difficult.

8. • 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.

9. • BI does this by turning an organization’s
data into an asset by having the right data,
at the right time and place and displayed in
the right visual form for each individual
decision-maker, so they can use it to reach
their desired outcome.

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. • When more insights and patterns are
discovered, more opportunities to drive value
for the business can be found.
• Analytics applications. Applications can
simplify advanced analytics as they put the
power of analytics easily and elegantly into the
hands of the business user to make data-driven
business decisions.

12. • They can also 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.

13. • Next step is for the business, of course, to
make the data-driven decisions that place
action behind the data.