Sunday, March 24, 2013


What is a dashboard?
A dashboard is basically a real time user interface. It shows the performance of an organization through graphical presentations, historical trends and current statuses about key performances. It assists in making immediate and informed decisions. Some products that aim to integrate information from many different components into a single display refer to themselves as dashboards.
An example is the car dashboard. It displays the basic information that the driver needs to know about the car while driving such as speed, fuel consumption, and so on. Another example is the local operating device product Hewlett Packard first developed. From one or more applications that are running in a computer, it obtained information and formed one or more remote sites on the Web to display and present as if the information was from the same source.
Benefits
Digital dashboards help managers to monitor the contribution of the several departments in their organization. Digital dashboards allow you to capture and report specific data points from each department within the organization, to measure exactly how well an organization is performing, proving a "snapshot" of the performance.
Some of the Benefits include:
• Saves time compared to running multiple reports
• Gain total visibility of all systems instantly
• Quick identification of data outliers and correlations
• Visual presentation of performance measures
• Ability to identify and correct negative trends
• Measure efficiencies/inefficiencies
• Ability to generate detailed reports showing new trends
• Ability to make more informed decisions based on collected business intelligence

What is the role of a dashboard in business intelligence?

The word dashboard in business intelligence was made to represent the dashboard of an automobile. The instruments on the dash of an automobile help the driver to put key aspects of driving into the perspective of the driver. Similarly, the dashboard in a business, helps visualize and represent the businesses performance and certain key attributes. Humans are better able to put large numbers into perspective when they are represented through visual content. To bridge the gap, we have to use dashboards to illustrate those massive amounts of data.

Dashboard also provide a quick and easy way to generally see an over view of a businesses performance. Usually business representatives are bombarded with massive amount of information; as a result illustrations help make information more organized and visually appealing to business owners.

Dashboard also help illustrate massive amount of information to others who do not work for the company. To simplify and display the information, dashboards are a key component of a presentation of a business modle.



How can dashboards help with Big Data?

Fundamentally, Big Data is a revolution that essentially changes how information is collected, stored, managed and consumed. Big Data has three defining attributes; it includes a vendor’s ability to provide support for data volumes, variety, and velocity in order to handle an organization’s effective management of large data. As noted above, altogether these attributes compose an inclusive understanding of Big Data.
Data warehousing technology, data integration techniques, and analytics capabilities have advanced substantially. With columnar databases, in-memory analytics, and easy-to-use self-service data visualization solutions, organizations can store and analyze more data in less time. In addition, the lower cost of storage, software, licensing, and support, has made BI accessible to more organizations. Organizations with large data sets and complex analytics requirements can now easily create something valuable for their organization that meets their ROI requirements
Regardless of the data type or size, BI technologies are slowly moving towards enabling businesses to get the information they need. The use of big data and dashboards to create broader analytics will increase the overall value of BI to the organization as data warehousing technologies and data visualization solutions continue to advance, as well as provide better access points to analytics.