Why Use Data Visualization in Communication
Today all companies have data. The term Big
data is already mastered in most companies and they know the importance of
collecting information.
However, the main flaw that makes it
impossible to extract the full potential of the data comes right after it is
collected: analysis. And is that the real challenge of Big data is in the
interpretation of data.
To facilitate this process and to be able
to display the information in a simple and understandable way, data visualization
tools have been created.
These tools collect all the company's
databases and display them on a single platform, allowing the team to carry out
a cross-sectional analysis.
To extract knowledge and transmit messages
with the data, we need to have a good data visualization tool that supports and
facilitates our analysis.
What Does A
Data Visualization Tool Do?
We have a platform where all kinds of
databases can be connected. On this platform, we can load data manually and
automatically.
Manually, we will make the loads through
Excel, CSV, JSON or HTML documents for example. Loading this data over time can
be facilitated by sending the databases to the platform by email.
The connections that are made automatically
can be several. For example, if the visualization tool has developed the
connectors, we can connect via API with Facebook, Instagram, Twitter, Google or
Adobe Analytics ...
Connections can also be made through SAS,
Google Big Query or Hadoop. Unlike a DMP, a data visualization tool
cannot activate other tools, that is, it does not have the capacity to make a
call to the server of our Email Marketing platform to execute any action. It
just collects the information and displays it. Although, in recent months, some
of these platforms are starting to move towards the activation field.
What Is It
Used for in Communication?
The Data Visualization gurus says that the data
visualization platform collects the databases, previously labelled with
business areas, reputation dimensions or company objectives.
For what? So that the impact of internal
efforts can be measured, to have traceability of press releases in all media,
to measure the effectiveness of each of the actions of the different campaigns.
It is the best way to control the
objectives of the department and the company, to observe the real situation of
the actions, the status of the reputation and the effectiveness of our
communications.
1) It allows to have a vision of what happens in all the communications of the company. Furthermore, the platform is interactive and usable. It is easy to extract knowledge from graphs.
2) It is an ideal tool for communication since in this business area there has never been a spirit of measurement. However, metrics are already required from all departments and this is an easy way to carry them out.
1) It allows to have a vision of what happens in all the communications of the company. Furthermore, the platform is interactive and usable. It is easy to extract knowledge from graphs.
2) It is an ideal tool for communication since in this business area there has never been a spirit of measurement. However, metrics are already required from all departments and this is an easy way to carry them out.
4) It allows metrics and cross-sectional dimensions to be used in all databases, matching them to be able to analyse them together.
Key to Keep in Mind
First of all, for a d3 expert tool
to be useful to you, your data needs to be consistent. In other words, you have
to have data volume and reliability. The data collection methodology must be
consistent across all databases.
Azure Data Lake Gen2is a fully managed Hadoop-as-a-service offering on Azure. It provides cloud-based secure storage and interactive querying of large-scale data sets, and is optimized for storing massive datasets in one or more file shares. Data Lake Gen2 adds significant new features over the previous version, including an update to the Hadoop 2.8.2 stack, HDFS support, support for Kerberos delegation, high availability, and more.
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