The Startup Revitalizer - A close look into Data Science & Cloud Computing

With each passing day, new startups are born with their own unique business and brand propositions. A typical startup defines as a team of aspiring young individuals with great “never seen before” ideas; set back of resourceful funds with a lack of experience. All structures and processes of marketing, inventory, logistics and infrastructure need their very own systems and technologies set in place for the smooth functioning of the business. Sadly, a startup cannot afford such investments.

Another issue noted in startups is the lack of affording easy-to-use technology and its numerous benefits, especially in the data analytics and data solutions segments. Data generated by companies and brands today are crucial and rapidly growing and hence getting actionable insights and valuable inputs for startups is even more pivotal and essential. Both the issues, for a fresher business can be tackled with the use of data science and cloud computing.

Cloud Computing: The Source

Cloud Computing is the on-demand availability of computing systems like storage, analytics, databases, servers, software etc. It is ideally used from startups to small & medium size businesses to even big organization is a time friendly and convenient resource. Cloud computing is useful in numerous areas like private storage, administrations, communications, business processes, and applications.

The term, Cloud computing, is namely divided into two major models - Deployment Model and Service Model. Deployment Model is further categorized into Public, Private, and Hybrid Model while Service Model is categorized as Software-as-a-Service (SaaS), Platform-as-a-Service (PaaS) Infrastructure-as-a-Service (IaaS).

Besides the luxury of selecting the ideal cloud computing ideal for the startup; cloud computing also comes with various other benefits. Cloud Computing is simple to use, easy to understand and cost-effective solution which helps you get maximum out of your resources. It guarantees the protection of your data by storing and locating your data on reliable resources with regulars backup and shots.

Cloud computing adds to the flexibility and efficiency of startups by providing hands-on IT solutions and technologies only a few clicks away. Additionally, Cloud computing is a global budget-friendly option. You get to adjust the number of resources that you need at the moment and only pay for those. Thus, these enable more retaining of investment into the business. Cloud computing infrastructure enables to adjust and configure resources as and when they grow and shrink. For the cherry on top of the cake, one can access cloud computing processes and systems from anywhere at any time.

Data Science: The Energy

Data Science and analysis is crucial for all businesses, be it small or large. It is growing at a rapid pace with the need of startups to employing the data systems into their business. In a startup, data scientists and analysts have to start from scratch. They build data infrastructure, recognize key business metrics, forecast consumer behaviour models. They also build key data that enable the birth of new product and service features.

Customer and customer personalization is the key to understanding your audience to serve them. Personalization of data starts from noticing the past patterns of the consumer and predict the future reaction of the consumer. Forecasted Modelling is the process of discussing relevant and irrelevant learnings. Then, it churns and cross-fits into forecasted methods and models for assessing customer demographics and behaviours.

Such data science tool can help to boost data findings, data extraction, visualizing and scrutinize data findings. These, further enable future predictions of current models. These data science tools also help startups in creating data products and further by testing and validating their keep performance indicators.

A data-driven approach adapted and implemented by startups leads to advancements of products and services. By making a shift from model training to model deployment, a range of tools become available. These help a startup develop new and advanced data-driven products. Data science aids in plugging in data specifications in real products and services. This helps to add to the quality and advancements of such products and services.

In conclusion, as understood cloud computing and implementation of data sciences are the cornerstones of startups that can help reach new heights, program tasks better and increase productivity and efficiency.

Dhananjay Arora, Kwebmaker Digital Agency, CEO & Founder is the author of the article.