Importance of Analytics, Web Analytics and Google Analytics

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The Importance of Analytics, Web Analytics and
Google Analytics
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Google Analytics is used by virtually everyone,
but few know how to use it to improve SEO. We
shouldnt be surprised by this. Despite Google
Analyticss power, it can sometimes seem
impossible to draw useful and insightful insights
-especially for beginners.
Analytics vs Analysis
Despite their similarities, analytics and
analysis differ primarily in what they emphasize.
Both of these terms refer to the process of
examining information, but analysis refers to a
more general concept, while analytics refers to a
more detailed process of analyzing
data. Analysis is more like an interpretation of
information, you gather it and with logical
understanding while building a plan of action
through it. Analytical analysis is the process
of a computer accepting, storing, calculating,
and presenting information for examination. Gener
ally speaking, analytics is seen as something and
analysis as an action.
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Why You Should be Using Google Analytics
Digital analytics software such as Google
Analytics is among the most popular. You can
analyze your websites visitors in more detail
with Googles free web analytics tool. Business
success strategies can be shaped with the help of
this report. In the internet age, almost every
business has an online presence. In order to
ensure that your website is fulfilling its
purpose, it becomes very important for you to
learn about its inner structure. It is important
to know which pages your visitors visit on your
website, how long they stay, and what they do
while they are on the site. No matter what kind
of website you operate, whether an e-commerce
website or an informative blog, you will always
want to study and understand how visitors
behave. The following reasons should convince
you to use Google Analytics in order to get a
better understanding of your website and its
visitors.
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1. The service is free
2. Collecting Data Automatically
3. Reports can be Customized
4. Platforms and Tools can Easily be Integrated
5. Measuring Internal Search Engine Performance
6. Understanding why your Website is not Converting
7. To determine where, when and how old your
   audience is, as well as what devices they use and
   their interests.
8. Understanding which Social Media Platforms to
   Target
9. Write the Right Content to Understand your
   Audience
10. To determine if you are achieving your goals

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Analytics What it Does
By definition, analytics is the discovery,
interpretation, and communication of significant
patterns in data. By using analytics, we can
uncover valuable insights and data we wouldnt
have otherwise noticed.
Web analytics - What is it?

• Qualitative research and testing findings can be
  greatly supported by web analytics. Consider the
  following best practices
• Make decisions based on data. Find out how you
  can improve your KPIs after collecting the
  necessary data to evaluate whether your goals
  have been met (or not met). Are there any
  high-value articles on the website that do not
  receive traffic (based on feedback from users)?
  Analyze top sources of traffic on the page to
  find out why. Test different solutions and see
  which placement generates the most engagement for
  that page using the experimentation testing
  tools.

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• Provide more than just traffic reports.
  Visitors, page views, top sources, and top pages
  are only the tip of the iceberg when reporting
  them. The number of visitors can be misleading
  the more time spent on a site does not
  necessarily translate into more business success.
  It is largely a tactical exercise to report
  these numbers. After all, how do 7 million visits
  contribute to the success of your program?
• Data insights should always be provided. When you
  report metrics to stakeholders without any
  insight into your business goals or user goals,
  you miss the point. By using the website data to
  show what areas of your site are succeeding and
  what areas could be improved, your data will
  become relevant and meaningful.
• Reporting should not be snapshot-centric. The
  web is evolving at a faster rate than ever
  before, and only focusing on visits or just a
  specific time period doesnt capture the greater
  depth and complexity of whats happening now.
• Stakeholders should be communicated with clearly.
  Consistently provide information to your
  stakeholders, know the audience, and disclose the
  systems weaknesses.

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What is Data Analytics?
Data analytics can be simply described as a way
to analyze raw data so that conclusions can be
drawn. With data analytics, you can see patterns
in raw data in order to extract useful ideas. The
core research of data experts nowadays involves
data analytics. Many organizations are making
informed decisions based on data analytics.
There are numerous kinds of data analytics
included under the term data analytics. In order
to get a better understanding of how things work,
any type of data can be put through a data
analytics strategy. Data analytics is used by
gaming corporations, for example, to set price
schedules for players to keep most of them
engaged in the game. The use of data analytics by
other types of companies varies based on their
needs. So, please visit to know more about
Importance of Analytics, Web Analytics and Google
Analytics.
What are different types of analytics
1. Descriptive Analytics 2. Diagnostic Analytics
3. Predictive Analytics 4. Prescriptive analytics
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What are the differences between KPIs and
analytics?
The key performance indicators in an organization
allow you to know if the organizations goals
have been met, while other analytics can explain
what is driving those results. An onboarding
pre-assessment trend might be simply another
analytics result, while the percentage of
employees compliant with your security awareness
course is a key performance indicator. They are
only distinguished by the meaning and importance
attached to the latter. Theres usually a good
reason for this importance placed on a certain
metric. Stakeholders can rely on logic and their
experience to determine the results that are most
relevant to their ongoing decisions. With a KPI
based on sales results, for example, a companys
future plans, personnel decisions, or training
programs are almost certainly geared towards
meeting the changing needs of this indicator.
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In what ways are people misusing the term
"analytics" instead of "KPIs"?
According to Einstein, not everything that can be
counted counts. Theres more to the quote, but
that first part stands well on its own. Theres a
good chance none of the 50 different KPIs in your
team will be perceived as key indicators. Your
analytics results may all differ in importance or
meaning, leaving you with a lot of data. Yet KPIs
are meant to summarize and sum up this data.
What are the benefits of using analytics and KPIs
together?
The results of other analytics are usually backed
up by KPIs. To explain the unexpected values or
changes in a KPI, it is necessary to provide
secondary figures or details. It may be
necessary to look at other metrics to understand
a spike in sales, for example sales by product,
sales by division, or call volume. In the absence
of additional metrics, a KPI quickly loses
meaning, as the value bounces around and is
misinterpreted.
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How are learning KPIs different from business
KPIs?
The Learning KPI is a special type of KPI. In
this sense, they are conceptually grounded in the
same way as key performance indicators, namely,
they are endowed with significant and meaningful
meanings. These KPIs are individual indicators
that are specific to the learning domain. These
will differ from organization to organization.
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