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Preparing Data for a Qlikview Business Intelligence Strategy

Company Intelligence like a system allowing to gather, process, and review data (and obviously to execute lots of other useful procedures) is an important challenge for all companies today. Businesses must dramatically increase their efforts in the region of business intelligence to deal with the powerful data development and an increasing amount of unstructured data sources. BI executives in businesses have to use the value of diverse data types and forms as completely as possible. That is the main reason why an organization requires a modern and strong BI system.

This article is devoted to the latest company intelligence developments for the entire year 2013. Taking these peculiarities into consideration may help companies decrease prices, improve their customer support and stay up-to-day in-the constantly changing world of contemporary technologies.

Development 1. Visualization and self-service.

These are two contradictory tendencies having become important recently. On the one-hand, the people of BI programs would like to get data shown as clearly as possible. That's why many BI systems use visual analytics showing link between data processing as 3D as well as 4D (the fourth dimension is time) images and visualizations. These usually involved images enable decision-makers to quickly capture what is trending at the market.

On-the other hand, yet another surprising development is an ever-increasing need for self-service features in BI systems. Planning data according to defined models or plans will no longer sufficient for BI consumers. They want to identify and to investigate their data themselves. That is why a BI system should offer enough technical flexibility to make certain these possibilities. In-memory and Hadoop technologies make actions in this way. Some providers even provide products allowing users to create their particular apps. Therefore, determining a proper level of get a handle on over corporate data analysis and assessing how exactly IT and human choices should be involved is the task of decision-makers now.

Nevertheless, it must be noticed that self-service characteristics do not mean that BI system usability could be bad now. On the other hand, developing such systems can be an additional concern for computer software developers. They should produce such friendly and easy-to-use programs that people might be able to work with them and to analyze their data sets without much I-T support. That is why both of these developments - creation and self-service - aren't as incompatible as it might appear to the first glance. And of-course, such helpful systems don't change employees' training for companies.

Development 2. Cellular BI.

Portable BI is needed. Previously, mobile use of BI systems was a kind of luxury for company's workers. In the modern times, the staff does not have enough time for you to return to work from their meetings and visits. However, these field and front-line employees need to stay up-to-date and to utilize BI programs on their smartphones therefore. Furthermore, organizations can't set mobile product standards anymore. Alternatively, workers use their particular mobile devices. That is why BI vendors must support a huge number of smartphones and tablets. The easiest way of doing that is using Html-5, but the most readily useful performance can be achieved with device-native applications. Meanwhile, the initial development should be followed, too. Mobile BI purposes ought to be easy-to-use, visual and phone resources saving.

In accordance with a recent Forrester study, nearly every company already uses mobile BI applications. Another 37 % intend to start soon.

Trend 3. Control large unstructured data.

Large and mostly unstructured data like web clicks, movies, photos, tweets, Facebook posts and so on. are mission-critical in such industries as Ecommerce, advertising, and gaming. They provide important insights into latest industry developments, help understand and predict customer behavior, and promote product improvements. That's why large information ought to be obtained, systematized, reviewed and shown in a readable form despite of the various forms. and large sums

By 2015, nearly two-thirds of BI answers may possibly give advanced statistics abilities based on the Hadoop construction. Based on Gartner, this construction allows an efficient processing of large amounts of unstructured information in a database system. Vendors will have to create BI techniques able to process and analyze unstructured information like social-media content, along with video, text, and audio recordings. More over, a BI system should work with structured and unstructured information simultaneously and compare both forms of knowledge with each other.

Trend 4. Cloud technologies.

There's been a great deal of speak about cloud technologies recently. Beyond all doubt, cloud answers have been in the forefront of application development progress; and this novelty makes them a 'must-have' for almost every task. Nevertheless, cloud technologies have only 3% of full BI earnings, according to Gartner researches. And in the future, cloud integration might become one more development solution rather than a product differentiation feature.

Present difficulties with integration and customization of cloud options won't disappear soon. This technology needs many improvements, e.g. Within the area of information security. However, the breakthrough may not are available in 2013, the experts, but, expect a progressive increase of cloud-based BI options. That means that, despite all flaws, BI vendors have to make their products cloud-compatible. and cloud-ready

As a conclusion, it could be realized that business intelligence systems focus on users' needs over on IT requirements. The key tendencies of BI systems develop-ment - mobile BI applications and creation and self-service functions - aim to ensure a quick and more useful relationship between users and BI systems. Working with large unstructured data can be an important element of companies' information policy. And wonderful cloud technologies might turn to regular features of every BI system.

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