Tableau Vs Qlickview

Last Updated on 2 years ago by Imarticus Learning

The executives in our current business generation have seconds to sell their idea. Thus the presentations done with these seconds needs to be very useful. The visual elements of a presentation play a vital role in the effectiveness of it. Today’s business presentations use advanced business visualisation tools to add clarity to their complex business messages. When it comes to integrating insights or trends to graphics that can be read by professionals and novices, QlikView and Tableau are the two best choices you can find.

QlikView and Tableau

Both QlikView and Tableau provide top class data manipulation tools to its users. The business intelligence capabilities of these two make them toppers of the market. However, fundamentally QlikView and Tableau are unique enough to perform specific types of applications.

QlikView

The company named Qlik founded in 1993 created the QlikView software. According to their website, this data visualisation software serves 34,000 customers around the world.
The unique features making QlikView popular are the following:

  • Quick Analysis – The high optimising nature and scalability of QlikView provides it access to a vast data set instantly. Resulting in a quicker delivery of search results.
  • User-oriented Interactivity – The large set of visualisation features help you to find insights in the nick of time.
  • Find Association – The association between the data sets can be easily found using QlikView. It also lets you conduct a search across all the data and filter the result to match your needs.

However, few drawbacks are observed in this software. A common issue with QlikView is that the many intricacies and facets in it lead to difficulty in learning the software. The back end which is not so user-friendly and the front end which requires occasional IT support also adds up to the drawbacks.

Tableau

Tableau was found ten years after Qlik. Tableau spotted the vulnerability of QlikView in data visualisation and analytics, and they capitalised on it. Today, Tableau serves more than 23,000 customer accounts and are growing fast.
The significant benefits of Tableau are following;

  • More comfortable usage – Even if you have limited experience, using Tableau you can generate interactive business intelligence reports of good quality.
  • Speed – With a few minutes of time, you can create interactive visualisations in Tableau.
  • Interactive Data Visualization – The superior data visualisation capabilities of Tableau provide interactive reports and recommendations according to your need.
  • Cost-effective – Along with the time and effort, this technology saves money as it let the companies avoid investing in additional IT resources.

One major drawback of Tableau is said to be the need for ETL (Extract, Transform and Load) to pull the required data out of your system. Also, the number of integrative data sources are less than of QlikView.
Selecting one from this two excellent software is entirely dependant on your type of needs. If you are required of excellent data visualisation with user-friendly drag and drop format, Tableau will be the best choice. QlikView is your best option if your organisation is large and vast sets of data are being managed.

Is AI the Answer to our Transportation Woes in India?

Last Updated on 3 years ago by Imarticus Learning

Until the recent past, Artificial Intelligence or AI was familiar to us only through science fiction movies. Then AI came to real life in the form of digital personal assistants like Cortana and Siri. Even though we were not fully aware, the AI researches were making rapid progress under the radar. From a pure personal assistant in our smartphones, the AI applications have grown into a giant business tool used to analyze and understand valuable data. In this article, we will discuss how India is trying to make use of AI to solve transportation woes in the country and how useful it could be…

Transportation Woes in India

It was found during the Harappa and Mohenjo-Daro excavation that roads existed in India as early as BC 2500. The importance of roads was escalated only after the Second World War. The number of motorized vehicles increased and hence the use of roads. Since then many attempts have been initiated by the government to improve the transportation facilities in the country. However, new issues came along with the time and few of them remain to be solved yet. The following are the significant issues recognized in Indian transport.

  • Road Accidents and Congestion
  • High Number of Traffic Death
  • Insufficient Public Transportation Infrastructure
  • Lack of Assisted Vehicle Technology
  • Need for sustainable transportation

The AI way

NITI Aayog (National Institution for Transforming India), a policy think tank of India has identified the following applications of AI to improve traffic in the country.

  • Autonomous Trucking – Through creative platooning and other techniques offered by independent trucking, a significant increase in efficiency and safety can be achieved. Optimal road- space utilization is also plausible through this system.
  • Intelligent Transportation System – It includes sensors, automatic number plate recognition camera, speed detection camera, CCTV camera, stop line violation detection systems, and signalized pedestrian crossing. Using AI, a real-time dynamic controlling of traffic flow can be made.
  • Travel Flow/Route Optimization – Given the access to traffic data, AI can make predictions about the traffic conditions and make human-like decisions on route selection. AI can also predict the flow of traffic at the network level and recommend flow strategies to contain congestion.
  • AI for Railways – Through real-time operational data analysis, train operators can be provided with a safer work environment. The derailment accidents can be predicted with remote condition monitoring using non-intrusive sensors for track circuits, monitoring signals, axle counters power supply systems, etc.
  • Community-Based Parking – In this system, AI is used to help drivers find vacant parking spaces. After collecting data about the parking spaces, the AI allocates cars to areas, in a way that the demand is always met.

Is That Enough?

Without a doubt, we can say that AI is going to improve our traffic conditions. Problems related to congestion and strategy planning will most certainly be improved. Better traffic control and road utilization can be expected. However, the Indian transportation woes extend beyond that. The Issues regarding lack of infrastructure are not going to be changed by AI.

The introduction of AI may not solve all the traffic woes, but a considerable increase in the efficiency of current facilities can be achieved. Better utilization will undoubtedly improve the transport facilities in the country.