Qlikview is an interactive platform for visualising data. This platform is easy to change and update,therefore a whole network of people have instant access to changes and discoveries in data by means of concise graphs, charts and tables.
The horizontalsrefer to the specialization within analytics and the verticalrefers to the industry in which it is implemented. There are different fields (horizontals) within the industry (vertical) of analytics.
These horizontals include:
- Digital Marketing
- Churn Analysis
- Supply Chain
- Product Management
- Business Analysis
- Data Architect
- Data Analysis
- Data Scientist
- Marketing Analysis
- Quantitative Analysis
- Risk Analysis
- Predictive Analytics
- Prescriptive Analytics
- Statistics
The verticals include:
- Actuarial science- makes use of risk analysts
- Medical
- Engineering
- Quality Control
- Pharmaceutical
- Insurance
- Retail
- Economics
- Finance
- Ecology (population statistics)
- Energy
- Hospitality
- Internet
- Transport and Travel
- Manufacturing
- Government
All these specializations and industries work with massive amounts of data. Big datarefers to large sets of data that are structured or unstructured. These huge loads of data are processed by QlikView into easy to use and easy to understand visualizations like graphs, tables, charts.
The visualization of data can reveal trends, dips and peaks which can be shared with colleagues easily. QlikView makes it easy to point out irregularities in the data so that they can be analysed further, and so decision-makers can understand where a problem lies and how to fix it.
The easy access that QlikView makes available allows for the relevant data to be brought forward for analysis. This information can be shared from any mobile device, and chat groupsand forums are available for team-members to discussvaluable information about important topics.
The huge amounts of data that QlikView makes easy to find, use and share, makes it the ideal tool for any industry with bulk data and intricate analysis thereof. If you have a drop in sales, for example, the data will reveal this as well as the origin of the drop so that it can be traced and corrected.