Increasing Mobility Waves of Uber Clone by In-Depth View of Analytical Measurements and Their Design Process

Tags: uberclone, uberclonescript, ubercloneapp
Published: 2020-05-18 16:23:57


Running on the base of the data is ultimately a tricky process in all the on demand business models nowadays. One of the familiar business models taxi services utilize the uber platform and this holds the numerous data related to the users and route locations. Carrying each trip adds the new data to the database and this way Uber handles more mobility events.

Data and real-time analytics are the biggest things to focus on smart decisions. On generally looking, a new ride book starts with the location specification, selection of car, pay for the trip by the single tap. 

**Data Analytics**

In general, the Uber platform deals with the huge database for drivers necessary to allot the respective driver to the rider. The matches of rider’s requests with the driver’s occupancy are the major process and this includes a wide range of data.

The specialized nature for the uber platform is to store the trips even in the absence of the passengers. Besides, the rider’s data, as well as the monitoring details of the driver, the vehicle’s current location, and the speed, are also collected.

**Real-Time Analytics**

The specialized operational statistics denote the immediate response to the queries raised from the customer side with the recent information. The process of getting the streaming data, integrating into the analytical system, and building the responsiveness model to the instant questions is based on such type of real-time analytics.

The changes in demand have a direct influence on price setting and hence the working of the entire business model is based on real-time analytics. From these two, the inference is the business intelligence and making smart decisions are purely based on this analytical information as well as the challenges too.

**Smart Analytical Decisions to Bring Uber Clone Forward in the Industry**
 
The remarkable shift observed in on-demand business is the clone development in order to update the application with the customer demands. The updates such as the vehicle details, preference-based trips, or driver and the multi-currency payment influence the database adversely. To make smarter decisions, visualization and mapping are helpful strategies. 

**Strengthening Visualization**

As soon as the new updates in the features and the clone apps evolved, the updates in the visualization process also required. The visualization process efficiently creates the actions from the data. The collected data in the spatial form will not give any valid metrics to the step-out process.

Hence, the data can be converted into the form of physical ranging from the map to the 3D animation structure is an essential process. The conversion helps the business peoples to match this format with the dedicated dashboards and thus the reports are effective and informative.
 
**Focus on Multi-Dimensional Mapping**
 
The mapping models are split up into two such as managers vs operating teams and data science platform. The first case mapping brings points such as the current distribution of the vehicle status and details to meet the supply-demand criteria to the managers. The second case shows the visualization aspect of the time, geospatial locations for the customers for the riders in detail.
 
By using these kinds of smarter ways, the [uber clone](https://www.spotnrides.com/) app development process is updated. How these impact the development process or the developers?. It is necessary to find the answers to these questions.
 
**Impacts of Data and Real-Time Analytics on Uber Clone Development**
 
The conversion of the raw data into the graphical or visual form can help us to know the states clearly. While looking into the uber clone app development, the data undergoes a wide range of processes prior to the visualizations.  They are listed as follows:
 
**Defining the data sources, transformation methods to determine the qualities**

Get the data from the initial storages
Apply the transformation methods like the mapping and unified standards by using the application peripheral interface framework.
The unnecessary data are moved to storage.
The data needed is to be updated or rewritten in the existing database.
 
After completing all listed above ways, the data now arrives in the visual platform like various dashboards with the drag-and-drop form. This dashboard performs the following processes.
 
Integrate the custom data into the system by API
Players participated in the business are allowed to select the type of visualizations. 
E.g. Traffics in the travel area, current location, and the distance to reach the customer’s location.
Make an eye on the creation of interactive elements. I.e. In-app conversation interface
Manipulate the data for future action. 
E.g. Convey the time required to reach the destination to the users or the business owners.
Collect the reports regarding the traveling trips, a number of drivers participated in the trips, and fare estimation for each trip.
Allow the drivers to share that information to the business owners easily with the application itself.
 
By following the above-listed ways, the data and real-time analytics are greatly used for making smart decisions. The template-based frameworks are the easy options for the developers and the modifications needed as per the customer are easily performed which saves considerable time and the cost too.
  
**Focusing Skills and Tools for Developers to Increase the Uber Clone Mobility Wave**
 
There are two data instances observed in the uber clone app processes such as real-time tracking queries raised from clients and the drivers as well as the financial flow in-out. The auditing process mainly demands these data visualizations in order to identify the fraudulent activities that are happening in business premises.
 
On assuring those metrics, the developers are in need to know the responsibilities, skills, and supporting tools.
 
**Responsibilities**

They should know the client’s business requirements (varying one business to other)
They must be capable of converting those requirements into the technical user-friendly interfaces
Apply suitable BI software to design the technical flow into graphical form.
Modeling all the features like data and real-time analytics into the API framework
Test the model by applying the strategic decisions and validate the effectiveness of the uber clone application in pre-and-post launching states.
Create technical documents related to the workflow of the application.
 
**Needed skillset for the Developers**
 
Based on the project, the skill set can be varied. The skills needed to do the responsibilities listed in the previous section are listed as follows:
 
To build the customized application, they must be familiar with the languages in scripts, python and the data visualization platforms
To meet the advanced trends in the on demand industry, they are having the knowledge of analytical processing tools. E.g. OLAB tools, handling SQL queries

They hold the skills for data analysis, business and the programming on cross-platform
While coming into the test phase, they are familiar with the security issues raised when accessing the personal data and the permissions to be set up on the access process.
 
**Tools to be Familiar**
 
As mentioned in the previous sections, the tools necessary to make smarter decisions are listed as follows:
 
Visualization: Knowledge in Open source Libraries like react-vis, React, D3 and JSX, etc. 
Mapping: Libraries react-map-gl and deck.gl.etc. 
 
**Final Say**
 
By deep analysis of this blog, developers might have a wide range of knowledge on the impact of the data and real-time analytics in the Uber clone app development process. The necessary changes needed to take the uber business models into the next level are better visualization and the immediate repository. 
Having the listed skills and sound knowledge in libraries means, the uber clone application developers are the best players in the on demand industry.