Importance of Communication in Data Analytics

Data analysts often have to explain data in ways that non-technical people can comprehend. They must be able to create understandable data visualizations and reports. Generally, people have to visually process data in the form of charts, graphs, and pictures for to be able to understand data. Analysts have to be both creative and practical in the ways that they communicate their findings.

Importance of Communication in Data Analytics
Importance of Communication in Data Analytics

Organizational leaders often have difficulties trying to figure out what to do with all of data that their organization collects. What they do know, however, is that effectively using analytical tools can help them to both strengthen and gain a valuable competitive edge for their business or organization.

Currently, very few of these leaders know the available options for engaging in the process. The following section discusses the major data analytics solutions and the benefits that can be gained by organizations.

When implementing data analytics within an organization, there are three key methodologies. One can create an internal data analytics department. One could contract out the assignments to independent data analysts, or one could pay for a cloud-based software-as-a-service (SAS) solution that enables novices to utilize powerful of data analytics tools.

There are a few major ways to create an internal data analytics team:
• Train current personnel. This can be an inexpensive way to provide an organization with ongoing data analytics. This training can be used to transform certain employees into highlyskilled subject-matter experts who are proficient in data analysis.
• Train current personnel and also hire professional analysts. This strategy follows the same process as the first method, but also includes hiring a few data professionals to oversee the process and personally handle the most challenging problems and tasks.
• Hire data professionals. An organization get their needs met by hiring or contracting with professional data analysts. This is the most expensive option, because professional data analysts are in low supply and generally have high salary requirements.

Securing highly-skilled data analysts to meet the needs of an organization can be extremely difficult. Many businesses and organizations outsource their data analytics jobs to external experts. This happens in two different ways: They contract with someone to develop a wide-ranging data analytics plan to serve the entire organization. Another way is to contract with experts to provide individual data analytics solutions for specific situations and problems that that their organization may encounter.

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