Analytics

Sector analytics

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  • Life Sciences
  • Consumer Products & Retail
  • Financial Services
  • Health

Life Sciences

Life Sciences

In the news

 

EY Pharma Business CASE® (Commercial Analytics Suite) is an end-to-end suite of global commercial analytics that drive tangible client returns through actionable business insights across sales, marketing and market access. CASE® provides our biopharma clients the ability to answer questions such as how to shift to an outcomes model to address pricing pressures, while delivering value to the patient and payers across multiple channels and markets while simultaneously driving commercial profitability.

CASE® is delivered on the EY Synapse platform and incorporates big data and integration, analytics and business transformation.

Insights

EY - Order from chaos

Order to chaos: where big data and analytics are heading, and how life sciences can prepare for the transformational tidal wave

 
EY - Big data: helping patients and providers connect

Big data: helping patients and providers connect

 
Find out more about our capabilities in Life Sciences >>


 

Consumer Products & Retail

Consumer Products & Retail

In the news

Consumer products companies that stay flexible and make quick decisions are more likely to succeed in today’s brand new order — a highly complex and fast-changing environment. Although the vast majority of consumer products executives agree that faster decision-making can improve organizational agility, they struggle with planning, decision support and decision-making because information is too detailed and too slow. Often they focus on items listed in the financial statements rather than the forces that drive value in their business.

This means they are unable to link strategy, resource allocation, planning and reporting. They must rely on a combination of instinct and experience, supported by one-off analysis. This personal, somewhat ad hoc approach rarely optimizes decisions, and the rest of the organization may struggle to understand and support decisions because the rationale is unclear.

The biggest challenge in making better decisions faster is to identify the market, competitor, operational and financial forces that really drive value creation, and then correlate them to each other and to outcome metrics, such as market share, revenue or margin. We call this “driver analytics.”

Driver-based analytics enable companies to tune out the noise and “connect the dots” between financial outcomes and the market and operational value drivers that really matter. They can help organizations understand the impact of a changed driver and test revisions to strategy via scenario testing. This means spotlighting operational improvements, running “what if” scenarios, testing and refining strategies and making better decisions faster.

Find out more about our analytics platform that helps consumer products and retail companies deploy commercial analytics in ways that transform business performance.

EY Commercial Analytics Services Hub (CASH), powered by Microsoft cloud technologies, will enable your business to produce analytics at scale while giving your people the tools they need to understand and use analytics in ways that result in better decisions and faster achievement of your goals.

Insights

EY - Closing the Loop | The Last 1,000 Feet of the Shopping Experience

Closing the Loop | The Last 1,000 Feet of the Shopping Experience

 
EY - When shoppers demand a seamless experience, what can digital shelves deliver?

When shoppers demand a seamless experience, what can digital shelves deliver?

 
EY - How to get more value from commercial analytics

How to get more value from commercial analytics

 
EY - Harness the power of digital analytics to be understand its customer

Harness the power of digital analytics to understand customers

 
Find out more about our capabilities in Consumer Products & Retail >>


 

Financial Services

Financial Services

“Two of the major strategic themes the industry is facing today are the continued regulatory-driven change across their businesses and disruptive changes to technology that open up exciting opportunities but also present competitive threats. These themes are having a profound impact on the industry’s business models, how companies interact with their customers and their ability to achieve previous levels of return on equity.”

— Hyong Kim, Global and Americas Data and Analytics Leader, EY Financial Services

Financial services companies recognize the tremendous potential value of the data they hold and are working hard to exploit that value. Initiatives in better data management and analytics are beginning to take shape. However, realizing and creating value from data — turning information into insight and practical action — is challenging and most companies have much more work ahead.

Five challenges for businesses:

The way ahead for financial services companies is becoming clearer as they work towards unlocking the value in their data. However, there will be some very specific obstacles to navigate as the journey continues.

Many companies are already conscious of at least some of these difficulties and are beginning to take steps to confront them. In particular, the sector is grappling with five broad challenges:

  1. Regulation and data privacy concerns still dominate.
  2. Firms need to develop a clearer vision of what they want to achieve with their data.
  3. Legacy systems make it difficult to introduce new technology solutions.
  4. Many firms are struggling with skill shortages in key areas.
  5. Unstructured data represents a particular challenge for many firms.

Insights

EY - The science of winning in Financial Services – Competing on analytics

The science of winning in Financial Services – Competing on analytics

 
EY - The Underwriter of the Future

The Underwriter of the Future

 
EY - 9 ways to maximize the value of analytics

Nine levers for maximizing analytics ROI

 
Find out more about our services in Financial Services >>


 

Health

Health

In the news

EY Envision is a trusted resource, providing advanced analytics for customer and provider segmentation, risk stratification, and fraud waste and abuse detection in a secure manner for consistent use across the enterprise.

The transition from volume to value continues. Learn about the:

  • Why: To move from volume to value
  • How: By working with an organization that designs its infrastructure with the future in mind
  • What: To meet the complex needs of payers and providers

Welcome to EY Envision.

Insights

EY - Data-Driven City Management | A Close Look at Amsterdam's Smart City Initiative

Data-Driven City Management | A Close Look at Amsterdam's Smart City Initiative

 
EY - Amsterdam’s Intelligent Approach to the Smart City Initiative

Amsterdam’s Intelligent Approach to the Smart City Initiative

 
EY - Case Study – Intermountain Healthcare | When Health Care Gets a Healthy Dose of Data | MIT Sloan Management Review

Case Study – Intermountain Healthcare | When Health Care Gets a Healthy Dose of Data | MIT Sloan Management Review

 
EY - Getting from big data to analytics

Getting from big data to analytics

 
EY - Data analytics to improve patient outcomes

Data analytics to improve patient outcomes

 
EY - Bringing patients into focus - 5 Insights for executives cover

Bringing patients to focus: Using analytics to create a 360 view

 
Find out more about the EY Envision offering >>