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.

 
 

The usage of databases is certainly an art of managing data and making knowledgeable methods in-the computing world. However in recent years, with the introduction of Data Warehouses, new methods of intelligence have been possible to add into these erstwhile databases and make sure they are extremely effective meeting a host of Business intelligence applications both in the Government and Corporate Information worlds.

Nevertheless, here it's vital that you get only a little into the background of Database Management and how Databases have reported to be have been evolving over time. The first known databases, existed as i) File systems then came the ii) The Network Models then the iii) Hierarchical types and then the i-v) The Relational Models and etc v) eventually vi) and Object-oriented Databases Object Relational Database Systems.

Database gurus, within the United States Of America, now think that Object Relational Systems are here to remain especially with modern data-sets that are very huge and or that which, are growing very fast! Can only just or usually be best understood alone using Data Visualization (DV ).

Again, having an ability to connect to data through visual drill-down abilities and dashboards make it absolutely necessary for the most recent Data Visualization programs to make sufficient usage of Object Relational Database Systems as their back bends.

When it comes to assuming intelligence from a business factory, there are certainly a multitude of interests these Systems will have to focus on the business owner and or selected experts in organizations as the business world increasingly moves right into a transparent and busy horizon of new-age facts, where always intelligence is key.

A number of the options that managers would want the BI systems to serve include new means of drilling down on key-words, Key Performance Indicators (KPI), measurements leading to better queries, be able to quickly recognize data, desire on visual drill down functions, able to check Business transactions and being an extremely active system with all the right Data Visualization standards set to create them enabled for use within the Internet.

However, in this report we are seeking a comparison between two of the very famous Data Visualization tools namely, Qlikview and Microsoft BI mainly focusing on their salient features with short comments.

There is a wide spread confusion amongst people in the DV areas in confidently answering regarding which instrument is the greatest Data Visualization product?

The below are 2 key factors for device selection that are instantly obvious:

  • Rendering it easy-to recognize the data
  • Price-performance

Here it's very important to remind ourselves that products only vary in their reasons for importance compared to other products, for e.g.

a) A product might have the very best web client and systematic functionality.

b) One other might have the very best capability to interact with the back end i.e. the info sets or the OLAP cubes etc.

So, details about the merchandise assessment between Microsoft BI tool and QlikView go about displaying the options that come with the products one after yet another as described below:

More details is available here

To being with, QilkView is seen by many as the most effective creation solution for interactive drill-down capabilities. But, Qlikview training is increasingly regarded as expensive using a third of its clients according to a survey feeling this as a barrier to its wide spread use.

There are serious weaknesses in the pricing model as also a bigger arrangement essential to more users that aren't rendering it possible for the investment of RAM needed to support the growing amounts of concurrent users.

Also, people find QlikView's talents lay in its user-driven way of BI and say that, its ease of use is based on its intuit-ive interface. But, authorities feel that QlikView does not have any nationwide product approach beyond its present offering.

Although it has a plan for small improvements to the present solution, many believe that QlikView hasn't laid out a clear vision elucidating how it'll maintain a sustainable competitive advantage.

Despite all of this, authorities believe that QlikView however delivers one among the most effective performance within the market.

On-the other hand, Microsoft BI program provides better price-performance ratio and works good like a backend for DV (with release of SQL Server) or for individuals who desire to develop own front-end DV. In addition it performs admirably on Enterprise willingness and long-term viability.

Considering that the Partners are critical to SMB market it's usually safe when it comes to Long-term stability with Microsoft while they are 35+ years into the market which is a direct advantage over other tools.

Microsoft is also the master of the Visualization business in the IT industry, being the original creator of Windows and so when it comes to business Interactive Visualization, they've an edge.

Again, many consumers price Visualization over Modeling Development - thus, the Visual environment of consulting excels in interest over their opponents, i.e. their UI & group of Visual Controls that integrate Data Visualization pieces in toto.

It also scores a point when it involves online creation to match standards and metrics set as necessary by world wide delivery model over the above lines.

 

    Author

    Write something about yourself. No need to be fancy, just an overview.

    Archives

    June 2013

    Categories

    All