InetSoft, a Data Integration Company with a Data Mashup Platform

This is a table of contents of useful information about the data mashup platform that is included in InetSoft's business intelligence software for dashboards, reporting, and analytics, Style Intelligence:

Data Management Tools Versus Data Modeling - So that being said, let's take a little bit of a deeper dive into these data management tools versus data modeling and the data model. It's a mechanism to help you visualize the power in your data. It lets you document the existing data assets and associated models. It lets you brainstorm conceptual models that can be used for consolidation or merging or reduction and complexity. It lets you consider alternatives for entity hierarchies and class inheritance. It lets you look at relationships between different data concepts, and it lets you look at the relationships between data concepts and their use within different business processes. Note that I am not talking about their use within an application, but rather within the business process that the application is actually the manifestation of. It is the method by which you try to automate some of that business process. But in fact, we are less concerned with how the data is being used as part of an application and more about how the information that’s within your data asset is being used to help you run your business or make your business better. So we want to rationalize representations across the different data sources and the applications to simplify the environment...

Click this screenshot to view a five-minute demo and get an overview of what InetSoft’s BI dashboard reporting software, Style Intelligence, can do and how easy it is to use.

Data Mashup Information - Data Mashup, at its basic definition, means combining disparate data sources that were not previously architected to be used together. In a data warehouse environment with rigid ETL process, data mashup yields other benefits, particularly in allowing prototyping of data maniupulations before committing to new, official ETL definitions and transformations. Data mashup is a central capability of InetSoft's Style Intelligence business intelligence software. It's a platform focusing on operational BI with an intuitive user interface that accelerates usage of BI. Requirements as diverse as reporting, OLAP, scorecards, dashboards, visualization, and ad hoc analysis are all met in a unified application...

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...

Previous: Data Mashup Platform Features

Next: InetSoft's Data Mashup Tool

More Resources:

		Analysis or Analytics Product Information
		Business Intelligence Product Information
		Charting Product Information
		Dashboard Product Information
		Performance Management Product Information