What is a dashboard?
The panel facing the driver of a vehicle or the pilot of an aircraft, containing instruments and controls.The definition above is what generally comes to mind when thinking about dashboards, because the word was originally used to describe the fascia of vehicles. Looking closely at this definition, a dashboard generally is like an information hub for the Driver of a vehicle, giving key stats of what is happening with the vehicle in real time, and the controls allows him to make fine adjustments and probe further to understand what’s happening to the vehicle.
A ‘data warehouse’ or an ‘enterprise data warehouse’ is a computer-based term that is given to a system. The system is basically used for analysing and reporting data. Data warehouses are central storehouses/ depositories that store data coming from a single or multiple incongruent sources. These warehouses are enterprise strategies that are aimed at solving problems related to fixed data (data silo) or data that is isolated, and which is not accessible and well- integrated to other parts of the firm.
What is big data? We hear this term tossed around the media a lot. Big data is something big and scary. Google and Facebook are gobbling up everyone’s data and turning it into big data. No one really takes the time to explain what it is. Big data isn't hard to understand nor is it scary. So, again, what is big data?
Business Intelligence systems are very complicated. Yet, they are required in today's business world. Managed information systems aren't as relevant as they used to be. Business intelligence is now the tool in which the enterprise competes with. How do you design a BI system or decide what packages you need when you buy one? Here are some key points to consider when designing your new BI system.
Microsoft isn’t the only data warehousing and business intelligence option out there. Another is SAP BI. SAP BI is a fully structured business intelligence system that works best for large organizations and enterprise environments. Is it right for your business though and what features does it offer?
With the changing trends, use of Mobile Business Intelligence applications is growing as well. Some of the applications that have been greatly participating toward the changing trends are QlikView, Microsoft Power BI on Mobile, and Tableau. Why these applications are preferred by businesses at small, medium, and large scales? What are the benefits of Mobile Business Intelligence over other Business Intelligence solutions? Let us have a go through on it.
When Qlik first launch back in 1993 they set in motion the development of QlikView, which arrived three years later. With their flagship Business Intelligence (BI) software, QlikView, they set out to do something different with Business Intelligence. While BI software has tended to be somewhat specialist, Qlik sought to produce BI software that was more intuitive for the user experience than had been previously seen, appealing to quick clicks rather than studious code. A key feature of the software is the easy uptake, to go from utter novice to turning out useful analysis quickly. This rapid deployment of QlikView is one of the drivers that are responsible for the growth of a new product in 1996 to being utilized by over 20,000 organisations now.
You may be asking yourself: Should we implement a BI system?
Although an increasingly popular and accepted technology for improving business performance, BI - like any other system - must be carefully considered before deciding to implement it. Benefits must be clear and understood and they must justify the investments.
The SME faces many of the same BI challenges as larger organizations, and some additional ones to boot. The smaller you are, the less data you are likely to have access to. In terms of internal data, a basic entry-level accounting program stores substantially less information than a higher-end enterprise resource planning (ERP) system. And externally, in the context of industry-specific or competitor data, there’s not much out there on small businesses.
The basis of Business Intelligence is data. And then, first of all, the metrics that are generated from this data. But metrics, as well as KPIs, are numberless – and they are even becoming more and more! Catalogue retailers become online retailers. Online retailers become chain store owners. Multichannel here, agile commerce there. As a result, retailers action alternatives increase rapidly – but which of them will actually turn out to be sustainably profitable? And which metrics, regarding those immensely increasing amounts of data (there it is: Big Data!), still are the critical ones for the eCommerce – despite new trends and technologies? Those questions are considered by many companies and their answers are as multifaceted as the assortments of Konga.