Analytics consulting services

In Consulting

We can help you apply analytics throughout your organization to grow, protect and optimize your business by harnessing the latest advanced technologies. The true value lies in embedding analytics deeply into business processes at the point where decisions are made – by human beings.

What can EY Analytics consulting do for you

Companies don’t have analytics problems; they have business problems that analytics can address. EY aims to help the clients become intelligent, information-driven organizations, where fact-based decision-making is embedded into daily operations from the boardroom to the front line, which ultimately leads to better processes and outcomes.

EY helps you demystify the language of analytics, demonstrating how insights can fuel confident, fact-based decisions. We help you build the structures and processes that convert data into a strategic asset, aligning data capture and analytics within critical streams of the organization. And we help you identify hidden performance drivers in both traditional and nontraditional data functions, from operations to customer experience, talent and HR, marketing and more.

We harness artificial intelligence (AI), automation and predictive capabilities to streamline processes and navigate the future. We equip you with the big-picture insights and new thinking that allow you to act decisively in solving challenges, seizing opportunities and sparking innovative growth.

Our Analytics consulting services help you to:

Create an agile and responsive finance function

New technologies and market entrants, changing customer needs and behaviors, and exponentially growing data volumes create a need for change. Yet many finance functions continue to struggle with cumbersome processes, nonintegrated systems and a heterogeneous structure.

Analytics can help you to:

  • Monitor performance management
  • Reduce the costs of finance
  • Speed up financial systems
  • Align people capabilities
  • Anticipate financial risks

Manage your risks to secure future success

While analytics has created substantial benefits for businesses and consumers alike, there are corresponding risks that go along with it. The need to secure sensitive data, to protect private information and to manage data quality exists whether data sets are big or small. However, the specific properties of big data create new types of risks that necessitate a comprehensive strategy that allows a company to utilize analytics while avoiding the pitfalls.

Analytics can help you to:

  • Improve risk and internal audit processes and enable the business to deliver even better products and services
  • Enable the risk and internal audit functions to provide business insights and act as a strategic advisor while reducing costs
  • Simplify regulatory processes and improve quality
  • Detect the next threat

Unlock the value of your customers

Technology has empowered consumers to be smarter, better informed and more demanding than ever. They are adept at filtering information and move effortlessly between channels, and they expect value and quality in return for their money as well as personalized offers that match up with their needs. Whatever the sector, businesses face stiff competition. By analyzing sales data at a customer level and integrating it with competitor information and market events, machine-learning algorithms can unearth hidden insights about customer behavioral patterns that allow you to reposition, restructure and better focus your efforts on profitability and growth.

Analytics can help you to:

  • Attract and retain the right customers
  • Unlock the full value of existing customers
  • Optimize your channel mix

Create value in human resources

The usage of advanced modeling and reporting tools will help you make optimized, data-driven decisions on allocating human resources and to forecast future service demand. Analytics helps you to optimize resource planning as well as better understand your employees, which in turn will support you in achieving superior performance while reducing costs.

Analytics can help you to:

  • Gain employee insight
  • Optimize resource allocation

Create an agile and responsive supply chain

Traditional supply chain models are shifting and require you to adapt to the new realities, requiring sophisticated, connected tools to drive optimal performance; enable better operational decision-making; monitor risks; predict disruptions; and support rapid recovery as part of an overall supply chain strategy. This requires companies to increase their adoption of advanced tools grounded in analytics and visualization to help improve operational efficiency across their end-to-end value chain and meet customer demand.

Analytics can help you to:

  • Achieve operational excellence
  • Optimize productivity
  • Reduce costs

Outsource your analytics: analytics-as-a-service

The EY Client Technology Platform combines market-leading proprietary technologies with advanced analytics capabilities and deep industry sector knowledge. The solutions available on our platform are compatible with leading industry standards and meet strict security and regulatory requirements. The data is securely hosted in the cloud and is aligned with data privacy policies. Our platform provides scalable infrastructure to meet client needs in traditional and nontraditional data functions, from operations to customer experience, talent and HR, marketing and more.

Case Study
The better the question. The better the answer. The better the world works.
Case Study

Case study: How data analytics is helping a gas distribution company power more cities sustainably

A city gas distribution company (CGD) moved from intuitive decision-making to a data-driven culture for creating a greener environment.

Case Study
The better the question. The better the answer. The better the world works.
Case Study

How does decision-making improve with an integrated data framework?

An integrated cloud-based solution helps in comprehensive data visualization and better analytics.

One of the major players in city gas distribution in India was facing mounting pressure to improve its data management framework. Although the company was growing at a healthy rate and was profitable, some external developments had compelled the company to improve the way it recorded and analyzed data from different parts of the business. External developments included the government’s decision to open the sector to competition, which meant that the company had to improve efficiency in business decision-making. In addition, the company was looking to spread its geographical reach and expand its operations rapidly into new cities across India. The company’s target was to grow the business at the rate of 35% per year, thereby increasing the need for data-driven insights to accelerate the efforts. The volume of data that the company managed continued to rise manifold.

The company’s existing data management framework had several opportunities for improvement. Different parts of the business and different geographic locations were using disparate systems for customer record management, operational records, and other business data. In the absence of a common data framework, there was no uniform way to collect and analyze data from different parts of the business.

Because of lack of an integrated data management framework, the company’s leaders relied heavily on intuitive decision-making. This could potentially cause future problems as the company expanded its geographical reach. Thus, to make informed decisions, the organization’s leaders needed a formal data-driven decision-making framework.

Data driven decision making
Source: EY’s engagement team for an Indian CGD company
Data governance framework
Case Study
The better the question. The better the answer. The better the world works.
Case Study

Integrated data management brings transparency and improves business decisions

Cloud-based data management solution helps decode and use data effectively.

Aware of its experience and proficiency in analytics-as-a-service, the company hired EY for implementing a comprehensive data management solution. Some of the core factors behind this decision included EY’s extensive and comprehensive range of data analytics and industry assets, along with its deep understanding of the city gas distribution sector. Also driving the decision was EY’s strong client relationships and the fact that it is the market leader in risk advisory.

As part of the comprehensive solution, EY implemented a solution based on a Microsoft platform. Within the solution, input and output data is integrated on to a cloud platform for data mining and analytics. The solution incorporates dashboards in a mobile platform for top management, employees, and field staff to make decisions based on data analytics.

The EY team leveraged its vast library of analytics and industry assets, developed over the years, and collaborated with Microsoft to build a prototype for demonstrating mutual capabilities. EY built deep relationships with the client across various levels in the organization which helped it stay informed and connected with stakeholders through the pre- and post-deployment periods. EY and Microsoft’s global alliance helped collaborate to propose a technically superior big data and advanced analytics architecture at a competitive price point.

Cloud based data management solution
Source: EY’s engagement team for an Indian CGD company
Cloud based data management
Case Study
The better the question. The better the answer. The better the world works.
Case Study

Better decisions help power more contributions for the economy

Improved decision-making has set the path to expand geographical reach and power more cities.

The deployment improved decision-making in the company and paved the path for a data-driven culture. It made operational details more transparent across all business functions. Most importantly, it led to elimination of redundant efforts. The platform has eliminated the need for operations teams to manually collect data and create reports, thereby allowing them to perform high-skill tasks.

With the help of the solution on Azure platform we will now be able to Integrate IT and OT data, derive insights easily and have access to real time insights to respond swiftly and achieve superior business results
Senior executive at the Indian CGD
Benefits of implementing end-to-end data reporting and visualization
Source: EY’s engagement team for an Indian CGD company

With the new digital data transformation, the company is looking to accelerate business growth and contribute to the economy’s empowerment and self-sufficiency.

Advanced analytics architecture

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