Improving Understanding with Data Visualizations [2019 update]

As we become better at collecting and analyzing data, we also have to become better at explaining what it all means. Data visualization is the use of algorithms to create images (graphical and pictorial) from data so that humans can more effectively understand and respond to that data. It is important because it enables us to digest large amounts of complex data that would otherwise be overwhelming or difficult to understand.

To better understand data visualization, there are several questions that we will answer:

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Data Integration: In-depth Guide [2019 update]

To achieve a unified view of data that is sourced from different locations and formats, it is necessary to have an established data integration solution. This can also include occasions when two companies are merging or in the consolidation of internal applications. Data integration can also be beneficial in the creation of a better and more comprehensive data warehouse; ultimately leading to a more accurate and effective analysis.

Data integration is the process of taking data from many disparate sources and making it usable. As the number of sources continues to grow, the need for effective data integration also continues to grow in importance. There are a number of benefits associated with an effective data integration solution. Some of these include:

  • A single and reliable version of truth that is synced and accessible across locations
  • An enhanced capacity for analysis, forecasting, and decision making based on accurate data
  • A fully comprehensive view of an organization and its customers
  • Data availability throughout a business and its stakeholders

Ultimately, data integration lays  the foundation for effective Business Intelligence (BI) and the effective decision making it enables.

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Data management: In-depth guide [2019 update]

Leading tech companies such as EMC predict exponential data growth with available data doubling every 2 years.

With this increase in volume comes an increase in need to determine a way to manage it. Subsequently a wealth of data management techniques, tools, vendors, careers, have emerged to support this need.

To better help your business achieve effective data management, it is necessary to first understand what exactly is data management and how it can become beneficial for your organization.

What is Data Management?

Data has a lifecycle that requires careful management from the day it is created until the day it is no longer in use. By managing this data properly, the risks are greatly decreased and the usability and quality of the data is greatly increased. Ultimately these two things together lead to a better and more profitable business no matter the industry or topic.

Some of the biggest focus points in data management include:

Data quality: A

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