Company Intelligence like a system allowing to collect, process, and evaluate data (and of-course to do plenty of other useful operations) can be an important concern for all companies today. Organizations have to significantly increase their efforts in the region of business intelligence to deal with the powerful data growth and an increasing amount of unstructured data sources. BI executives in organizations have to make use of the value of various information types and forms as fully as possible. That is the key reason why a business needs a modern and strong BI system.

This short article is dedicated to the most recent Qlikview training trends for the season 2013. Taking these peculiarities into account can help companies decrease costs, improve their customer support and stay up-to-day within the constantly changing world of contemporary technologies.

Development 1. Creation and self-service.

These are two contradictory tendencies having become important recently. To the one-hand, the people of BI systems want to get information presented as clearly as possible. That's why many BI programs use visual analytics showing outcomes of data processing as 3D if not 4D (the fourth dimension is time) images and visualizations. These typically interactive images enable decision-makers to quickly capture what's trending at the market.

On-the other hand, still another trend is a growing demand for self-service features in BI systems. Arranging data based on defined models or strategies will no longer adequate for BI people. They want to identify and to evaluate their data them-selves. That's why a BI system must offer enough technical flexibility to make certain these possibilities. In-memory and Hadoop systems make actions in this way. Some services also offer products and services allowing users to create their particular programs. So, identifying an appropriate amount of get a handle on over corporate data analysis and assessing how exactly I-T and human choices ought to be concerned is the process of decision-makers now.

However, it should be noticed that self-service features do not mean that BI program usability may be poor now. To the contrary, building such programs is an additional problem for computer software developers. They need to develop such friendly and easy-to-use programs that people could be in a position to operate together and to research their data sets without much IT service. That's why these two developments - self-service and creation - are not as incompatible as it can appear on the first glance. And obviously, such handy systems do not change employees' education for companies.

Development 2. Cellular BI.

Cellular BI is required. Previously, mobile use of BI systems was a type of luxury for company's employees. However in the recent years, the team doesn't have sufficient time to go back to the office from their meetings and visits. But, these field and front-line workers must stay up-to-date and to make use of BI systems on the smartphones therefore. Furthermore, companies can not set portable product standards anymore. Alternatively, workers use their own mobile phones. That's why BI vendors must support an enormous level of smartphones and tablets. The simplest way of accomplishing this is using HTML5, but the best performance can be achieved with device-native programs. Meanwhile, the primary development must be used, also. Cellular BI applications should be visible, easy-to-use and phone resources saving.

According to a recent Forrester study, nearly every fourth company already uses mobile BI applications. Yet another 37 % intend to start soon.

More details can be found on this website

Pattern 3. Pro-cessing big unstructured data.

Large and generally unstructured knowledge like internet clicks, videos, pictures, tweets, Facebook posts an such like. are mission-critical such industries as E-commerce, advertising, and gambling. They provide important insights into latest industry trends, help understand and predict consumer behavior, and encourage product improvements. That is why big information must be gathered, systematized, reviewed and presented in a read-able form despite of these large sums and different forms.

By 2015, very nearly two-thirds of BI options may give advanced statistics functions on the basis of the Hadoop platform. Based on Gartner, this framework allows an efficient control of large amounts of unstructured data in a database system. Vendors will have to produce BI techniques able to process and evaluate data like social-media content, as well as audio tracks, video, and text. Moreover, a BI system should work with structured and unstructured data simultaneously and compare both forms of information with each other.

Pattern 4. Cloud technologies.

There has been a great deal of discuss cloud technologies recently. Beyond all doubt, cloud options have been in the forefront of application development progress; and this novelty makes them a 'must-have' for pretty much every task. But, cloud systems have only 3% of full BI earnings, according to Gartner researches. And as time goes on, cloud integration might become yet another devel-opment selection rather than a product differentiation feature.

Current problems with integration and customization of cloud answers won't disappear soon. This technology needs many improvements, e.g. Within the area of data security. The authorities, however, expect a progressive increase of cloud-based BI answers, nevertheless, the break-through may well not are available in 2013. That means that, despite all imperfections, BI vendors need to make their products cloud-compatible. and cloud-ready

As a conclusion, it-might be noticed that Qlikview consultants technologies focus on customers' needs greater than on IT requirements. The main tendencies of BI systems develop-ment - self-service and visualization features and portable BI programs - make an effort to ensure a more practical and quick interaction between users and BI systems. Working together with large unstructured knowledge will end up an integral element of businesses' information policy. And great cloud systems may possibly turn to persistent features of every BI system.

 


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