2. PROBLEM!
•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. SOLUTION
•Companies should pursue a simpler path to
uncovering the insight in their data and
making insight-driven decisions that add
value. Following are steps that we have seen
work in a number of companies to simplify
their analytics strategy and generate insight
that leads to real outcomes.
6. • 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.
• Real-time delivery of analytics speeds up
the execution velocity and improves the
service quality of an organization.
7. • It 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.Analytics
applications
• Business Intelligence (BI)
and data visualization is
bringing data and
analytics to life to help
companies improve and
optimize their decision
making and
organizational
performance.
Next-Gen
• It 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.
Data Discovery
Using Analytical Technology Analytics
9. doesn’t come in one
single form.
• No matter what
combination of
culture and
technology exists for
a business, each path
to analytic s insight
should be
individually paved
with an outcome-
driven mindset.
different elements in
play, and they are always
changing business goals,
technologies, data types,
data sources, and then
some are in a state of
flux.
• Once insights are
uncovered, the next step
is for the business, of
course, to make the data-
driven decisions that
place action behind the
11. • By creating a data supply chain built on
a hybrid technology environment a data
service platform combined with e merging
big data technologies, data can be
accelerated.
• The path to insight doesn’t come in one
single form. There are many different
elements in play, and they are always
changing business goals, technologies,
data types, data sources, and then some are
13. • For a known problem area but with
an unknown solution, the company
could take a disco very-based
approach to look for patterns in t he
data to find interesting correlations
that may be predictive • For a known
problem with a known solution t he
company could take a hypothesis-
based approach by starting with the
outcome
