Description de Qlik Sense
Qui utilise Qlik Sense ?
Non fourni par l'éditeur
Où peut-on déployer Qlik Sense ?
Cloud, SaaS, web, Mac (ordinateur), Windows (ordinateur), Windows (sur site), Linux (sur site), Android (mobile), iPhone (mobile), iPad (mobile)
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Fonctionnalités - Qlik Sense
- Aide contextuelle
- Alertes et remontée des problèmes
- Analyse des sentiments
- Analyse du service client
- Analyse en temps réel
- Analyse visuelle
- Base de données de clients
- Bot pré-configuré
- Chat et messagerie
- Communication multicanal
- Données en temps réel
- Développement sans code
- Enquêtes et feedback
- Fonction de glisser-déposer
- Fonctions pour développeurs
- Gestion de l'expérience client
- Gestion de la base de connaissances
- Gestion de la communication
- Gestion des commentaires
- Gestion des e-mails
- Gestion des flux de travail
- Gestion multicanal
- Intelligence artificielle et machine learning
- Intégration des médias sociaux
- Intégrations de tiers
- Messagerie instantanée
- Mesure des performances
- Notifications en temps réel
- Prise en charge de plusieurs langues
- Rapports et analyses
- Rapports et statistiques
- Recherche en langage naturel
- Reconnaissance d'intention
- Reconnaissance vocale
- Répondeurs automatiques
- Saisie de leads
- Segmentation de la clientèle
- Stratégie de marque personnalisable
- Suivi de l'engagement
- Surveillance en temps réel
- Synthèse vocale
- Tableau de bord d'activités
- Traitement automatique du langage naturel
- Transcription des conversations par chat
- Workflow configurable
Alternatives à Qlik SensePlus d'alternatives à Qlik Sense
José elías G.
Qliksense for business
Commentaires : Thanks to Qliksense we are able to provide easily the information the user wants and to personalise it depending on their needs. Sometimes a given report can be used as base to create another which saves you time to deliver critical information in the least amount of time with the best results.
What I like most about Qliksense is the ease in which you can portray the information, also the duplicate function helps you to customise your sheet until you like it over and over again. Also it's really easy to convert an information table into a pivot, graph (any kind), filter, etc. Also the export feature as well as the filter can help you greatly to get just the information you want in the format you want.
Sadly when you work with a lot of information lines or put to much formulas into a report it will limit how you can export it (you have to filter by parts to get the full report) or it will not show the information and you will have to filter the overall report to just visualise the information you need.
Decent BI tool - A good package for quick and easy reporting
Commentaires : It's being used across the whole organization, and it helps change data from multiple sources to information for better decision making. This has also given us better access to transnational level data. Which has improved our scope and insights as well as improved our decision making.
Qlik Sense is very well suited for companies without a proper data warehouse. - It is fairing very well in sales analysis and KPI management. - Mini QVDs can act like a mini data warehouse. - It builds mini data warehouses. - It's good for the merging of data. - It connects well with other systems.
Qlik Sense is good for simple analytics. However, it is not that easy to set up "what if" scenarios, more advanced statistical analysis, and custom stuff. - The coding of equations is quite complicated. - Better customer service from sales. - Better customer service help with solving problems with the tool and upgrades. - Better user-friendliness for writing equations by the end-user.
Top notch scalable self-service BI tool with cutting-edge visuals
Qlik Sense is a self-service analytical tool based on the same in-memory technology as QlikView. It's associative engine allows for snappy selections, filtering and prompt re-calculation of all charts and aggregations on the fly as the user navigates throughout the dashboard, even on datasets of over 100 million rows. Qlik Sense focuses more on the self-service aspects of BI, where users are encouraged to build their own Adhoc visualisations without the use of keyboards simply by drag & dropping various elements, making the technology utmost business friendly. Also, as the whole technology is fully web-based, it embeds the latest visualisation libraries (D3, Raphael etc.) and allows for a seamless integration of customised extended JS charts (so-called extensions). The latter enables for unlimited possibilities when it comes to visualisations (http://d3js.org/) and further integration with web-services (R servers, real-time analytics, Hadoop etc.). Also, the Qlik Sense Server deployment is tailored to facilitate a multi-node deployment, allowing for a very scalable enterprise solution, even cloud-based. The data security technology (Section Access) is the same one as in QlikView and is customisable, secure and robust. All in all, when it comes to deploying a scalable and business-friendly BI solution, which has very presentable dashboards, a fast and robust aggregation engine with extended self-service capabilities, Qlik Sense is currently the best product of its kind on the market.
Qlik Sense is still a new product and not very mature yet, as it has only been released a year and a half ago. The review is based on Qlik Sens version 2.1 which is important to emphasise, because QlikTech is constantly updating the software and publishing releases with enhancements and bugfixes. Qlik Sense is not the right tool, if you requirement is: 1. To have a guided analytics dashboard, where the user is constraint in the way he views his data. -> This can be overcome by creating mashup websites, however you will need a web developer to do this. 2. Standardised reporting via Qlik Sense and production of pdf files is not possible (yet). -> An integration with nPrinting, QlikTech's latest acquisition, could change this and it's on Qlik's roadmap for the next year. 3. Your BI solution needs to accommodate flexible data extraction capabilities (e.g. to Excel). General current disadvantages: 1. The story telling functionality is not mature yet - users have more benefit using PowerPoint directly. In my opinion it's missing a live connection of the snapshots used in the story to the underlying chart objects. 2. Security settings (NOT on data level) are governed centrally via the management console and are complicated to comprehend. 3. No guided analytics aspects, even navigation between sheets can't be controlled. 4. No supported data extraction capabilities. It's almost impossible to get comprehensive extract of it's underlying data, something that was possible with QlikView (Export functionality e.g.) 5. The vendor has little practical knowledge on how Qlik Sense is deployed enterprise wide within a business and is not really able to support. 6. The vendor is focusing more on the data story telling and collaboration aspects of the Qlik technologies and almost imposes those on the business. Personally, I would prefer if QlikTech listened to its customers a little bit more.
Best data analytics software
QS is a very useful tool for creating tables, graphs and especially data analysis. In the company where I work, we are dedicated to the development of QS extensions, which means that QS is a fully modifiable software full of versatile possibilities. QS is used by many large corporations around the world and is considered one of the best software for analyzing vast amounts of data.
The only disadvantage of QS is that when processing a huge amount of data, you can see a slower system response, but this is something that can be expected.
Alternatives envisagées :
Cetralised analytics ready data in a cetralised location
Commentaires : We have been able to move away from spreadsheet based reports where we had various manipulated versions of the data that were not up to date and took hours to prepare to a centralised reporting platform that is updated on a regular basis ready for the users to use and act on the insights gained.
Qlik Sense have enabled us to use more of our data and bring the data together in Dashboards that were a very difficult task to achieve in the past using spreadsheets. Using spreadsheets made it difficult to analyse tracking data where you ran out of space before you really got started.
After initial setup we got in creating connections to uncommon databases that proved very difficult to get setup in Qlik.