Data Analytics

1.Financial

With the last decade accelerating the process of digital transformation, financial organizations have realized the abundance of data available to them. This massive amount of data is worth so much more for the financial sector with the right algorithm. Hence the banking, financial services and insurance sectors need to shift their focus towards data analytics to derive optimal business outcomes.

With financial organizations, it is important to segment customers and identify where to focus marketing and sales efforts for improved results. We at The Big Leap help businesses in the financial sector identify and target their valuable customers and hence, increase their ROI exponentially. The strategic use of data can help shape strategies to drastically reduce customer acquisition costs. Apart from sales, data analytics can help with risk identification by flagging any unusual customer activities, which is a key challenge in the sector.

Know more about the Applications of Data Science in Banking...

2.E-commerce

The digital transformation has redefined the way in which customers purchase. In order to engage with today’s evolved customers, it is important for e-commerce businesses to distinguish themselves from the competition. Data Analytics provides that opportunity for businesses to provide their customers exactly what they want.

At The Big Leap, we understand the wealth of customer information and its potential to shape strategy. We employ machine learning algorithms to reach the ideal goal of knowing every possible information about the consumer and make it the cornerstone for every decision. Analyzing the customer data can give e-commerce business owners an insight into the customers’ real time social media activity, purchase history and online behaviour. This valuable information can be the foundation for an optimal marketing and sales strategy to recommend the best offers, optimize the price, forecast consumer demand and effectively manage inventories. After all, e-commerce analytics has the potential to create impulse buying amongst consumers through targeting and retargeting on platforms where customers are present.

Know more about the Data Science Projects Every E-commerce Company Should Do...

3.Automotive

The vast amount of data stockpiled with automotive organizations often seems daunting, but organizations who adopt data analytics gain the power to predict the future and fuel growth. As the role of the traditional automobile dealer is being reimagined, there is also an ocean of opportunity for businesses in this segment to better understand consumer behaviour through analytics and streamline everything from manufacturing, research, marketing, sales to even post-sales customer experience.

At the Big Leap, our machine learning algorithm efficiently captures data from multiple sources and maps them as per business challenges. It provides automotive organizations the possibility to solve complex business problems and deliver memorable customer experiences. It allows businesses to cut down costs and innovate by altering their strategies - based on demand forecasts, industry trends, customer preferences.