The better the question. The better the answer. The better the world works. У вас есть вопрос? У нас есть ответ. Решая сложные задачи бизнеса, мы улучшаем мир. У вас є запитання? У нас є відповідь. Вирішуючи складні завдання бізнесу, ми змінюємо світ на краще. Meilleure la question, meilleure la réponse. Pour un monde meilleur. 問題越好。答案越好。商業世界越美好。 问题越好。答案越好。商业世界越美好。

Big Data Analytics

Analytics

Rewiring Companies through Data Analytics

We help enterprises sharpen their business strategy by complimenting human intellect with innovative usage of big data, thus providing competitive agility and building a data analytics-driven organization.

Large sets of data are available to organizations today, yet very few organizations know how to optimize this big data.

Ask yourself: Are you making the best business decisions? Because if you don’t use data analytics to act now, your competitors will. Implementation of big data analytics helps you make well-informed choices to future-proof your business. It is time you fully utilized the potential of data available to you.

EY Advisory believes a better working world is built by solving big, complex industry issues to deliver outcomes that can help expand, optimize and protect our clients' businesses.

Our understanding of organizational processes, culture and human behavior along with technology advancement allows us to realize the true potential of big data and its analysis. We are driven to ask better questions and team globally with you to create better solutions using data analytics to discover opportunities, manage risk, reduce fraud and give customers what they really want.

Combining an issue-led approach with technology enablement, we get down to brass tacks so you can build business strategies from big data. Implementation of big data analytics into business processes helps reveal hidden patterns, correlations and other useful insights so you can take decisions with the focus on the future.

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How can data science, big data and predictive analytics help acquire, retain and monetize customers effectively?

We worked with a leading telecom company in India for an analytics-based design of its end-to-end customer lifecycle management process.

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Can big data analytics enable telecom operators to deliver seamless customer experience across their network, keeping their capex and opex under control?

We worked with a leading telecom company in India in optimizing its network performance to enhance customer service and manage capex and opex effectively.

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How can predictive analytics enable media companies to improve their ad rates and hence revenues?

We worked with a leading media company to implement predictive analytics with an objective to match advertisers to target audiences to enable media companies to increase ad rates and help their customers increase revenue and promote their brand effectively.

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How can data analytics be used to enhance the state’s revenue, reduce leakages, improve compliance and form more effective policies?

The objective of the project was to improve the revenue of one of the largest states in India, by using data-based intelligence.

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How can you use data to measure the effectiveness of your promotional spend?

We helped an Indian pharma company understand ways of measuring its promotions effectiveness. We also identified which promotional campaigns were more significant than the others and which ones the company should continue to improve revenue.

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Can analytics help you connect better with your customers?

The client (a major life sciences player) was looking to get better insights into the available sales data to improve how it connects with customers and sell a product portfolio rather than singular products.

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How can you manage and control in-patient pharmacy margins?

We helped one of the largest hospital chains in India provide its top management with better information management and reporting capabilities in the area of supply chain with cross-functional decisions, enabling better and faster decision making.

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Is customer segmentation key to an effective liability product roadmap?

A leading Indian microfinance organization that had received the license to set up a small bank wanted to mine the data on its existing customer base to identify usage, need, financial objective and investment gap at every stage of the customers’ journey with them.

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How can analytics act as a growth driver for companies’ top line and bottom line?

One of the largest Indian private sector banks wanted to drive greater analytical insights into its business to increase revenue, reduce cost, better manage risk and improve customer experience.

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Can differential targeting facilitate cross-selling of insurance products?

We worked with one of India's top 5 private life insurers, recognized as a leader in analytics implementation in the Indian market, and its bank channel partner to deliver a multi-model decision framework to generate cross-sell offers for a selective set of customers with the highest revenue potential.

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Can the use of predictive analytics improve customer retention?

We worked with a leading UK-based insurance company's life insurance subsidiary in India for an analytics-based redesign of its end-to-end retention-management process.

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Can machine learning improve prediction accuracy?

We worked with one of India's top 5 private life insurers to deliver three enhanced models across X-sell and persistency management using predictive machine learning techniques such as support vector, gradient boosting and neural networks.

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Can the combination of analytics and “asset reliability techniques”, coupled with strong “management of change”, radically enhance returns from manufacturing operations?

Integrated DRI-based steel plants have multiple challenges. For instance, high variability in quality of iron ore and coal lead to unstable manufacturing process parameters, dependence on state electricity grid lead to over injection losses and, most importantly, companies have limited ability to attract talent in interior locations.

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Can an insurance company sustain profits without customer familiarity?

Our Enterprise Intelligence and Analytics (EI&A) team used data analytics to model renewal collections and developed scientific models to predict the probability of customers renewing their policies.

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Can analytics predict future marketplace trends?

We gave valuable insights to a leading mining company on the supply-side scenarios for five commodities over the next 30 years. The team provided necessary solutions after evaluating the impact of policy decisions and infrastructure limitations on the supply situation.

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  • Why we exist

    At EY, our purpose is to build a better working world for our clients through data mining and analytics of big data.

    We believe that organizations need consultants who can take a broader view to find opportunity in a world that's as exciting as it is unpredictable and uncertain. Backing this belief with contemporary big data practices, we facilitate the creation of a legacy of better management and improved business performance.

  • How we do it

    Our global associations allow us to innovate and offer compelling solutions to our clients.

    At EY, we collaborate to maximize the impact of data analytics so our clients receive seamless services.

    Given the vastness of the field, working in teams is more rewarding. We connect the right resources from across the whole of EY, our Global Analytics Center of Excellence and departments throughout the entire organization. This helps us offer quick and exceptional services, helping build lasting relations with our clients.

  • What we do

    We solve big, complex issues and capitalize on opportunities to deliver better working outcomes that help expand and safeguard the businesses, now and in the future.We dive deep into big data to extract the greatest value and discover opportunities in key functions like supply chain, finance and customer.

    We help you to detect fraud using forensic data analytics, learn what customers really want, help create new business models, manage risk, analyze human capital tax implications and support complex transaction decisions.

    We combine technical progression with our commercial know-how. But we don't start with technology. Instead, we start with a question: What are the key areas that require immediate assistance? Then we seek answers by analyzing the big data. This way we help create a compelling business case for embedding the right analytical practices at the heart of your decision-making.

    We also recognize that when it comes to data analytics, technology is only half of the equation. We help you deploy analytics into business processes at a stage where significant decisions are made by the management. Organizational processes, culture and the human element are as critical as technology for extracting the true value from data analytics.

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Who we are

Across EY, we are a diverse team of consultants and industry professionals with a global mindset and a collaborative culture.

We work hard to understand our clients' issues and are driven to ask better questions in the pursuit of making their businesses work better.

Questions like:

  • Have you considered the Human Element to drive success in embedding data analytics into your organization?
  • How can you create value from all of the data you now have?
  • How do you use the larger volumes and varieties of big data in anti-fraud, anti-corruption and compliance programs?
  • How can you use big data analytics to learn what your customers really want?
  • How can you use big data analytics to innovate new products, services or experiences?

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