Dynamic Analytics - Taking your data to the next level
Dynamic Analytics introduces a new generation in transaction analysis: While the core DESIGNA standard report covers areas such as revenue, throughput, unwanted usage, device metrics and occupancy, Dynamic Analytics takes your data analysis to a new level. Based on a business intelligence tool, the user can take advantage of the full scope of the data. All necessary data of the parking management system is stored in a customer-specific “Data Cube“, which can be analyzed in almost any dimension - to fit your individual purpose.
Every good businessman has a gut feeling for his or her business. But how do you analyze five to six-figure transactions of your system every month? Many studies prove the effectiveness of “Big Data“ if the data is also structured sensibly - and the right conclusions are drawn from it. Parking management systems have always generated a lot of data. However, the expansion of software-based options and the changing usage patterns and expectations of customers require more indepth analyses than in the past. Parking management can now take advantage of other leading industries to optimize their business models through data-based approaches.
Main benefits of Dynamic Analytics for car park operators:
- In-depth analysis of market demand and usage statistics.
- Evaluation of the data from an economic perspective - not just the evaluation of pure numbers.
- Preparation to identify levers for pricing policy.
- More than 25 comprehensive annual reports on the subject of parking.
- Secure login from any web browser and special reporting app.
The right Business Intelligence tool to work - DESIGNA Dynamic Analytics - will help you work smarter and faster to create optimal, intelligent outcomes.. A system that is optimally adjusted and calibrated to the requirements of the parking industry provides fast answers to critical business questions, supports the alignment of business activities with the corporate strategy, enables the team to make databased, well-founded decisions, reduces the time required for data input and manipulation, provides insights into the customer base, and enables the discovery of patterns within customer behavior.