Data Analytics Infrastructure: Why providing data insight tools is important for user autonomy

Data analytics is an ever-expanding practice that is becoming more important than ever. McKinsey Global Institute claims that data-centric organizations are 19 times more likely to be profitable, 23 times more likely to obtain new customers and 6 times as likely to retain their customers. As businesses pursue growth and seek competitive advantages, they need to be able to access and interpret data in a transparent and autonomous way.


The automotive and mobility industries see billions of data points every second, so making insights derived from that data available to key decision-makers is essential. This requires advanced solutions to store, organize and visualize that data in ways that are user-friendly and don’t require advanced data engineering knowledge.


Transparency is of paramount importance to us at Launch Mobility, and that is why we partnered with Factored machine learning and data engineers to provide comprehensible data analytics tools for our users to enable them to build their own reports, generate their own insights, and ultimately understand their platform’s data.


Data takes you places

In the emergent mobility sector, operators are continuously refining their services to find product-market fit. Access to data and analytics is not simply about giving rise to revolutionary processes or huge institutional change. Having access to your business’s data is a must-have that provides insight into what you’re doing and when, what’s going well, what might need to improve, and why.

Transparent and autonomous access to the data that your business is generating enables you to differentiate yourself from competitors and develop a clear business strategy.



Important factors to consider when granting transparent access to data

Being flexible, data-friendly and intuitive is central to what we do at Launch Mobility, so providing easily digestible and accessible insights for our clients is a priority for us.


Our approach is two-pronged in that we need to offer both transparency (making sure our clients can see all the data that their businesses are producing) and also a straightforward data analytics infrastructure that doesn’t require programming or advanced data science training in order to gain access and insights.


In short, we need to give our clients the means to access all their data in a clear way and the tools they need to understand that data.


To provide the best and most secure data analytics infrastructure possible for our clients, we first had to consider the following:

  • The need to grant each client access to their own data while keeping data from other clients safe and wholly separate.

  • The requirement for the solution to handle many concurrent, compute-heavy queries.

  • The need for data to be accessible to non-technical analysts.

  • The importance of the data being fully transparent for each client.

With these points top of mind, we set our data science team and Factored engineers to work on providing these insights for our clients.


How we built data analytics infrastructure for our clients


We established an analytics engine specifically suited for delivering business intelligence with a simple no-code interface. This interface, available in our LM Mission Control™ management portal, grants our customers access to a very rich, unified data set from their operations. Armed with this data, operators can test hypotheses and make decisions confidently.


We built a multi-tenancy setup that establishes an isolated data environment for each customer. This environment provides our customers with peace of mind, knowing that their owned data will be stored securely.


The engine connects to our modular data platform, enabling services to scale without infrastructure or business logic restrictions.


As a result of this architecture, we’ve delivered security, efficiency and scalability for our customers.


Why transparency and data analytics infrastructure matter


So, we’ve reiterated the idea that autonomous and transparent access to business data is vital for the overall success of a company but what tangible differences could data analytics infrastructure make to companies in the mobility business?


First of all, here are some examples of the business insights that our customers gain from consumer activity data in the mobility sector:

  • Where reservations for specific transport types are coming from geographically and the value of each reservation.

  • Whether there are surges in demand in certain geographical areas at specific times of day.

  • Where and when there are instances of downtime; what’s happening with specific vehicles and how they can best be put to use in the areas that need them.

Once an organization has access to this information, it can go about generating reports, interpreting insights, and implementing action points to improve business processes, operations, and performance. Some of the impacts of these actions might include:

  • Reducing business costs by efficiently reallocating underutilized vehicles.

  • Reducing the environmental impact of vehicles, thanks to more efficient resource allocation.

  • Improving overall customer experience by having access to the right vehicle at the right price and time.

Ultimately, the business insights and actions engendered by data analytics infrastructure can facilitate enhanced mobility services that aim to improve quality of life, as well as a business’s bottom line.


While moving from point A to point B is an age-old endeavor, the efficiency of mobility is in constant evolution. Launch Mobility accelerates that evolution by putting the power of data in our customers’ hands. Our new analytics engine gives users the edge in building higher performance mobility solutions. Utilizing LM Mission Control™ to track and interpret the information that’s being generated allows our customers to adopt data-centric practices, streamline their operations, and ultimately grow their businesses.


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