Qlik Sense

Associative engine to quickly show business insight. Minimal development effort. In-memory BI provides the most efficient model in the market.

It would be better if they can quickly make all QlikView features available in Qlik Sense. I also would like the company to make their SaaS features available to on-premises product. I would like to have more and easy control on the colors as well as look and feel of dashboards. Today, not many options are available.

In my 20+ year of BI and analytics career, I have been using almost all major products in the market. Qlik Sense comes out as a sure winner to me. It covers the full spectrum of data and BI and is flexible to work with other data solutions I had. The best feature I like is its ease of development and its associative engine. I can have a complicated dashboards up and running in an hour or less. No other BI solutions can beat this benchmark today. If I am tasked to deliver a BI solution to any company, Qlik Sense is my best tool to make the delivery happen with the minimal amount of effort and resource.

Help business to get visibility and insight about their data and processes. People can gain immediate insight to their processes and take actions quickly.

Qlik Sense is very easy and fast to start with, but its enterprise grade robustness and security make it an ideal long-term, company-wide platform.

The personal edition is still free, but you need to jump through a few loops to activate it.

Make sure you evaluate the platform with a proof of concept with your most complete, difficult and larger use case. This will quickly expose most vendors' weaknesses.

Super fast ad-hoc analysis tnat can turn quickly into new applications or integrated into existing ones. The main benefit is visibility of data that we could not see together before or that needed extensive rework or data wrangling to do so.

Qlik Sense gives end users a better understanding to monitor and to visualize their Data, the easy-use to build KPIs and Dashboards is a key asset. The introduction of the augmented intelligence gives more efficiency to the self-service. “Intuitive”, “easy-to-use”, “user-friendly”.

Two points should be reviewed and enhanced :

- The devops process to deliver a BI project based only in Qlik Sense.

- No Framework for the script side.

“Intuitive”, “easy-to-use”, “user-friendly

The data discovery and accuracy of data.

Self Service Real time Intelligence, One Single Platform for Data Management and BI & Anaalytics

Tables Availability. People who are comfortable using tables in QV do face some challenges.

100%, Great Company. Great Technology.

Business Outcomes like Revenue, Profitablity, Efficiency, Market Share

Associative Model, Data Discovery, Mashups, Responsive Design

In terms of make a custom dashboard, the options are so poor

If you need to merge tons of data anda sources, Qlik is the best option

Sales Monitoring

1. Data discovery and the power of association - best in market

2. Covers end to end needs of Data preparation, Governance and Reporting. This unique offering has enabled us to deliver wide scale self service, as users need agility and trust in data while exploring it for self service. Makes understanding of data anomalies extremely efficient if you have the right consultants with the tool knowledge.

3. Making efficient use of RAM - Most of the top BI tools allow In-Memory analytics, but they don't work well as in memory data volume increases (e.g 500+ million rows). QlikSense performs much better here.

4. Mashups & API Support - The wide support for APIs have really been helpful to deliver Custom and poweful Web portals. Also it has helped us in automating many QlikSense tasks (e.g. Reload and ops monitoring with third party software like Active Batch). This is where it offers lot of room for innovation.

5. Vizlib Extension Support - This is where it can now compete with Tableau in the rich visualization support. This was an area where Tableau captured the market share quickly. However, Vizlib has ensured that Qlik users are not left behind in this space. Really love the Self Service extension of Vizlib.

1. Advanced analytics support - This is an area where Qlik has been catching up. The K-Means clustering was recently released in Sep'20 release. Would like to see support for more such capabilities. Vizlib does provides forecasting for line charts.

2. Self Service rollout with Analyzer license - Recently we rolled out a self service application, only to realise that the org had moved to professional/analyzer licensing from token based model and the users with analyzer license cannot edit sheet amd do self service. This will need either professional license or use of Vizlib Self Service extension

3. Qlik Insights Bot - We had evaluated this product, for enhancing the customer experience for Self Service, however this still needs more maturity and customisation support, to meet the NLP expectations from users, to improve user adoption. I believe this will eventually come in the future releases.

If you are looking for an Enterprise tool which is capable of meeting complex & evolving Business needs and provide End to End solution delivery, QlikSense is the best choice in the market.

However, the people with right skills are difficult to find, so keep some buffer time for your onboarding.

We have used QlikSense for a variety of problems. Below are a few:

Building a robust Self Service Analytics platform which helped in quickly preparing and analyzing new datasets especially when there is a major time constraint.

Building mashups which has been really helpful to analyze information across multiple dashboards on a single custom built portal.

Building secure section access driven applications for Reps, Managers and plotting custom defined Sales Force shapes in Geo Analytics. etc.

los anillos, las distintas posibilidades de conexión a los datos, los paneles dinámicos y el continuo desarrollo e implementación de novedades que hacen crecer mucho la análitica

el calculo de 5 en tablas, las reglas de 3 y funciones muy sencillas que realmente hacen complicado sus implementaciones

análisis en tiempo real

Ease of connectivity and visualisation creation

Printing of tables, charts etc is very weak and basic

Go beyond the examples provided and use Qlik Sense with real data when comparing it with competitors to see the real power of the product and why it should your go-to product for Analytics

As a Qlik reseller I am introducing Analytics in multiple sectors from Retail, Public Sector, Finance, Tourism, Transport etc

1) A lot of sources that might feed initial data. You're not dependent from the platform or even don't need DWH (while for sure it's needed in any case).

2) Associative model is a really a cool thing that helps you to link data with each other. But also this requires a good understanding of the data loaded.

3) Quite solid and minimalistic interface while inside a lot of possibilities are included.

4) A lot of extra modules available, plus branch and add-ons. Commercial addons as vizlib & anychat could bring a lot of new vizion for your data.

1) Quite expensive, especially if you want to have all features as Nprinting, Connectors, Big Data, etc. you need to pay additionally

2) As the technical model is quite unique, the start learning cost is either high. You need to learn a lot and for users it might be a bit confusing. Set analysis is not something you'll understand fully in a week. Loading script creation is either require some time to be understood.

3) Very low integration with Excel. Download possibility is not giving you formatting of the dashboard, plus it's require to much clicks for download. Some integration with Excel would be really nice, even if the initial goal of Qlik is to get rid of Excel sheets.

If you need self-sufficient source-independent BI system, QlikSense is what you can try. Take time to understand it's model and scripting/formulas language used inside. Spend some money for at least training of your expert/analytics team or ask consultants to build a first app in order to understand how QS is working. If you were working mainly with Excels it will be challenging to move users to data explore & analysis in QS, meaning you need a huge work style change management campaign to succeed with migration.

1) Analysis of the data becomes more easy and clear. Data explore with Qlik is really a easy and nice journey.

2) You can fastly be prepared for the meetings where you need to clearly demonstrate the results.

I loved the sessions where they went in depth of explaining the process. Giving real life examples helped me understand how this would apply to clients in my every day work life.

The navigation was not the easiest to handle. I would often get lost when sessions started and I was confused at times on how to enter session if I was not on time. I would love for their to be a recap of the sessions right after broadcast or shortly there after.

It is great platform that is continuously improving and becoming even easier to use. Qlik is definitely here to stay and becoming a key player in data analytics.

Every issues and understanding limitations is something I am learning to overcome. Referencing these sessions I attended has helped in exploring what is possible with Qlik and the many things it can do.