The document outlines the three pillars needed for a successful analytics strategy: people, process, and technology. For people, it emphasizes training employees, collaborating across departments, and gaining stakeholder buy-in. For process, it stresses having frameworks for data management, defining governance policies, and standardizing procedures. For technology, it recommends selecting business intelligence tools that integrate with enterprise data sources, provide self-service capabilities, and deliver timely insights. Mastering these three pillars will help maximize value from data and deliver trusted insights.

1. 3 Pillars To Become
Successful With Your
Analytics Strategy
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3. What is meant by a data-driven enterprise?
A data-driven enterprise bases its routine decisions on actionable
and timely insights from reliable data. Data acts as the basis for all
their strategies, driving efficiency into the whole process.
Data-driven organizations are known to consistently outperform
non-data led organizations in making informed and effective
decisions to drive profitability and cut down on costs.

4. The analytics strategy should first evaluate the unique
business challenges, map those challenges with the right
solutions, and communicate actionable insights to help
key decision-makers. Analytics demands costly
investments in technology.
3 Pillars To Define Your
Successful Analytics Strategy

5. People
Successful analytics adoption would require changing
some existing core practices and individual habits.
Understand the current user skill levels with analytics.
Invest in the right training programs that will take them
to the next level.
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6. Motivate the
employees by offering
them valuable training
programs that will
enhance their careers.
It would ensure that
they put in the extra
effort to learn the
technology and apply
it for organizational
benefit.
Have a team of
technology experts
and business experts
to formulate the
strategy for data
management,
analytics, and
governance. Ensure
that people in
different departments
are collaborating and
important information
is not locked away in
organization silos.
You must take the
stakeholders into
confidence with your
analytics strategy &
the need for a shift in
processes. Understand
the concerns, if any,
raised by all
stakeholder groups
and identify their
current challenges and
their expectations
from the tool.

7. Process
You need a solid organizational framework in place
that ensures fast data collection, processing,
analysis and consumption of dashboards and
reports. A successful analytics project requires you
to have strong processes in place to manage the
change.
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8. It will impede agility and flexibility With
the right processes in place, you can
increase adoption, reduce your risk, and
achieve maximum business value.
There must be well-organized procedures for managing the conflicts and
priorities, evaluating and developing required software, requirements
gathering, cross-functional communications, deploying and designing
models, handling job errors, and handling data, among other things.
The process must define which data sets to collect, manage,
and build governance around. A center of excellence can be
set-up in-house that establishes and inculcates best
analytics practices.

9. Technology
Selecting the business intelligence analytics tool
that’s the best fit for your enterprise needs is
critical to success. There’s no one-size-fits-all
business intelligence analytics tool. The best
business intelligence software is not necessarily
the product with the most features.
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10. Today analytics tools
come with advanced
features such as self-
service data
preparation, self-service
data model creation,
and self-service
visualization. Your
analytics technology
should deliver timely
data insights.
It must connect with
the enterprise data
sources and have the
required ETL
capabilities with the
right data architecture
and data management
solutions. It should
have the right data
governance inbuilt into
the tool.

11. Wrapping Up
Having the right tools and technologies,
modifying practices and adapting the
mentalities will guide your journey towards
success. Getting these components rights will
maximize the value from enterprise data and
deliver remarkable and trusted insights.
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