Intersection of Business Intelligence and Big Data

How do business intelligence and big data intersect? Until you derive business intelligence from it, big data is just an ever growing pile of data. InetSoft offers a BI platform that delivers the presentation layer for dashboards, reports, and visualizations in addition to a robust, scalable data access engine. Articles below explain more, and evaluation resources can be found to the left.

Data Management Trends In The Capital Markets - What's driving those trends is really many different things. But from a technology perspective, it boils down to a few key underlying forces. Firstly, there are several stressful financial market trends: increased volatility, greater difficulty in booking profits, and a reduction in volume. Financial services firms are now very focused on cost, specifically cost reduction obviously. Firms are very, very focused on protecting their profits and being able to pay the bonuses to retain the best talent by reducing cost wherever they can and nowhere more so than within information technology and infrastructure. So what we are seeing is a focus now on reducing data redundancy and waste around any kind of siloed process data environment. And a very keen attention is being focused on process automation where there is still a prevalence to have tasks accomplished manually...

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Data Mapping Tools - You must have heard the phrase "form follows function." Most people know that the first step in software engineering is to create a user interface (UI) for your application. The UI consists of controls, panels, gadgets, etc. For people to seamlessly use your work product, you should make it easy to understand where they can find various widgets and controls. A data mapping tool can automate this process by enabling you to quickly design a user interface that follows the data architecture. Without an intelligent framework such as a data mapping tool, designing a flexible and responsive UI can be tricky and time-consuming. Read on to learn more about data mapping tools. Data mapping is a process that enables you to transform an unstructured data set into a structured one. This data transformation may be required based on the type of query you want to perform on it. For example, you might want to create a report or generate data for a specific business process. Mapping is an integral part of any database development project because it can help improve the performance and usability of your application. Mapping allows you to use your existing database tables to create reports and dashboards that are impossible with traditional database queries...

Data Mashup - Agility and Versatility - Is data mash up evolving as the preferred way to view enterprise data because of the agility and versatility that it enables? I absolutely believe that’s the trend. Business users don’t want to have to go back to IT every time they want a new piece of data or customize a dashboard. They want to see their dashboard in particular way. They want to be empowered so that they can personalize their dashboards to their particular needs. The benefit of data mashup is that shortens the time that it takes to get a dashboard that is useful for a business user. They can more easily build their own. It has to start with the business analyst. They have to build up all the KPIs that the organization has available. And use our software to see all the available KPIs. And then it’s a matter of dragging and dropping them onto their dashboard canvas, and that’s how they’re able to create their own dashboard. This is going to be a really powerful way to let people look at data, because you don’t want to go back to IT all the time...

Data Mashup and Geographic Mapping - I think you have to move beyond GIS. The thing about geographic mapping is that we’re all familiar with it. We all know what it is. There isn’t a semantic challenge to understanding it. But let's say if I was to create the data topography of the production landscape. Then I am going to have to create some kind of canvas and communicate to people in a fairly clear way what that is. Subject area is probably a good way to go. Then I can start to go overlay things on it like applications, servers, databases, flows of data, whatever. I think a big challenge in that, however, I think that is probably something that is going to be met. I think that there is tremendous demand for it...

Data Mashup Driven BI Platform - If you can integrate all of your systems, and we have plenty of them, if you can integrate them into one central database or use a data mashup driven BI platform like InetSoft’s, and then have that information spread out, that’s great. It’s a delicate balance. I think it’s going to be challenging to eventually get there, but we are trying to do that sort of in small steps. There is value. The information that you can get whenever, wherever you want has significant value. And then I also think there is something that comes along with the sort of the user. We talked about engaging with our guests and our customers. We also have to make sure that we are engaging with our employees or managers, that we are giving them, just like we give a customer, the choice of experiencing the company the way they want. We have to be open to give our young workforce in the restaurants the choice on how they want to see information. Because people learn differently, people have different learning styles, and this group of managers that we are hiring or that are coming through our ranks in the restaurants are using this technology that has been their way of life, and it’s somewhat new to most of us, but it’s been their way of life. So you have to give them a choice to look at data...