InetSoft's Enterprise Data Management Software: Data Mashup plus Dashboard Reporting

Looking for enterprise data management software? InetSoft offers Web-based BI software that includes a powerful and flexible data mashup tool with direct access to disparate data sources of almost any type. Below are articles related to InetSoft's software.

Data Services Platform - One of the common ways how data services have been leveraged to deliver this agile business intelligence to this process is by providing a data services platform that has first of all access to disparate data resources, and we will talk not only about some of the more sophisticated customers we have, how they have enhanced the user experience beyond just sort of the core enterprise applications to bring in Web data and some of the other customer feedback information to be able to relate that back to product catalogs, etc. So we obviously can take inputs into this from several computer-telephony Integration products like the Avaya, the Genesys systems so you have that in call center integration....

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Data Services Platform Presents Different Views - But in every case, these examples of data mashups of transactional data are dealing with the customers. They are making decisions. Let me go back to the telco example. They may be answering the billing questions. Then they might be answering a technical support issue and then going into an up-sell, cross-sell mode to offer the customer something more. Depending on the context, the data services platform is able to present different views to the front-end system. So the actual claim, the order the transaction might actually continue to flow through transactional systems meaning they work through SOA type middleware, but in presenting the context behind making such a decision, the customer agent or operational person needs a lot of information. Sometimes, it's not even an agent. It's a self-service customer portal where the customer comes in and wants to check the status of their orders, check out what are the products that are available. The intelligence of the data services platform in combining multiple external and internal data sources and presenting them at the right moment is very valuable in actually offloading back-office work from the agent to self service portals, but also in making the agent very productive. So this is a very typical use case, and we have implemented multiple systems where data virtualization is used in the support of call centers, customer self-service portals, agent portals, single customer views, etc...

Data Tables - Tables offer a number of special properties that allow you to access the data values from script, and to add visual style to rows, columns, and individual cells. The following sections explain how to use these properties. There are two key properties for accessing the values in a table, table and data. • table – A two-dimensional array containing the table data as displayed. The array includes header rows as well as data rows. • data – A two dimensional array containing the raw table data (prior to grouping and summarization). It does not include header rows. Two sub-properties that are especially useful when looping through the rows or columns of tables are 'length' and 'size'. Note: A table that returns no data still displays the column header row. Therefore, table.length is 1 in the no-data case...

Data Virtualization - You should consider best-of-breed platforms that enable agile data access. Make sure they cover a full range of data virtualization and data and information integration services that address both your needs to bring in structured and unstructured information across your Internet and across the Web. So longer term, you can re-architect your BI and data services environments to enable maximum agility according to the model that I laid out earlier in this Webinar. Move your best practices, move your internal practices for developing BI and data services away from the traditional waterfall style, a time consuming, a silo-friendly approach towards more of an agile approach that’s fast and flexible and collaborative and iterative...

Data Warehouse Reports - With the self-service capabilities of Style Intelligence, you can use to create dashboards and reports on your data warehouse or analytics environment, and you can do this very fast, and you can do it with new set of users such as salesforces or people in the C level. nment where it makes sense. You have really the BI systems drive a different way of doing business in the marketplace. So what we hear is great response on the whole about usability, great response about implementation time because you can really do something up and running very fast. The next thing is we also hear a lot of things that a lot of customers need to now rethink their business strategies to take advantage of this new kind of analytic solution. They are not used to having all this information at their fingertips. So, there are also some changes in organizational models that are happening right now. There are some changes in BI competency centers and data governance because people w ant to have access to this kind of solution. This is something that IT departments have to cope with in the long run...

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