Enterprise decision-making has been improved year over year as a result of the increasing value of data that organizations have collected. However, despite this fact, less and less firms describe themselves as data-oriented when it comes to business decisions or strategy.
What’s stopping these organizations from utilizing this data though? Namely analysis effective enough to yield actionable results. No matter how precise the data they collect, organizations can’t capitalize on it without proper analysis.
Which is why it’s so important for organizations to prioritize data-first initiatives and technological infrastructure to maximize their return on investment. One tool in particular stands out amongst the rest in terms of providing organizations effective analytical insight into their data: Tableau.
With such massive amounts of data being collected by organizations, context remains incredibly important when deriving insights. Different datasets may point to specific strategic advantages for organizations, assuming they’re able to analyze and identify key trends within the data.
Tableau simplifies this process for organizations through advanced visualization capabilities, providing organizations with the ability to take scattered data and turn it into attractive visual representations that are able to provide key insights.
Simple, Yet Elegant
Data-driven strategies are often hard to develop as a result of the ever-increasing volume of data collected. Not only has the volume increased, so too has the variety of the data. What was once thought to be straightforward analysis has become much more complicated.
Organizations in this situation rely heavily on visualization tools such as Tableau to simplify the process of merging these conflicting data sets to find their connection. With Tableau’s simplified user interface and its drag-and-drop functionality, this has become simpler than ever.
Big picture data trends are capable of being discovered as a result of Tableau’s interconnectedness. With the ability to connect collected data from sources like Azure, Google, SAP, Oracle and Splunk, much more is possible for organizations.
This also allows organizations to derive insights from the more unstructured data that is collected from their customers. Some forms of data will come in a much less standardized format, meaning it can be difficult to interpret or even visualize some of the data. With Tableau, however, organizations are more than capable of using this data to their advantage.
Enterprise decision-making has greatly improved as a result of effective collection, interpretation and application of data. Tableau simplifies this process through streamlined data visualization, a simplified user interface and the ability to connect disparate data sources. Big data can be a valuable asset to your organization, be sure to consider how Tableau can empower this asset.
Author Bio: Anne Fernandez – Anne joined Accelebrate in January 2010 to manage trainers, write content for the website, implement SEO, and manage Accelebrate’s digital marking initiatives. In addition, she helps to recruit trainers for Accelebrate’s Tableau Training Programs and works on various projects to promote the business.