The average amount of data per hospital will increase form 167TB to 665TB in 2015, driven by the enormous growth of medical images and electronic medical recodes.

With Big Data

Medical professional can improve patient care and reduce costs by extracting relevant clinical information from vast amounts of data to better understand the past and predict future outcomes.

Today, 86% of consumers quit doing business with a company because of a bad customer experience. Up from 59% four years ago.

With Big Data

Services representatives can use data to gain a more holistic view of their customers, understanding their likes and dislikes in real-time in order to resolve a problem or capitalize on happy clients faster.

Insurance Companies and government agencies each gather fraud data related to their own individual missions. But the kind, quality and volume of data compiled varies widely.

With Big Data

An insurance or citizen services provider can apply advanced analytics to data and detect fraud quickly. Before funds are paid out.

Wall Street alone delivers 5 new research documents every minute. Business Market publishes upwards of 19,000 news items per day.

With Big Data

Financial services professionals can better understand market changes through improved business insight from data, helping to anticipate performance gaps and more accurately assess investment alternatives.

$150 Billion in total sales are missed each year because retails don’t have the right products in stock to meet customer demand.

With Big Data

Retails can better understand their customer by analyzing sales trend and incorporating more accurate forecasting, ultimately increasing customer loyalty and revenue.

5 Billion Global subscribers in the telecom industry are demanding unique and personalized offerings that match their individual lifestyles.

With Big Data

Communications providers can use data to create a more personalized customer experience and avoid losing customers to competitors.

The automotive industry is projected to be the 2nd largest generator of data by 2015, stressing existing warehouse infrastructures well beyond their intended capacity. Dramatic shifts in the way customers view the driving experience are changing the way automakers interact with customers and require new approaches to maximize profitability and revenue.

With Big Data

Big data presents a huge, new opportunity for automotive companies to meet the demands of their more demanding, educated customers – if they can harness it. Improved call center, dealer service performance and rapidly launch increasingly sustainable, connected vehicles.

Fighting fraud, financial crimes and security breaches, in all forms, is among the most costly challenges facing the finance industry. As quickly as new technology is used to identify fraudsters, they themselves are identifying new ways of defrauding financial institutions

With Big Data

Big data and analytics capabilities provides banks the ability to understand their clients at a more granular level and more quickly deliver targeted personalized offers. This enables higher offer and cross sell acceptance rates that improve customer profitability, satisfaction and retention. Also reduced costs of fraud screening and monitoring, fewer false positives, reduced cost of fraud investigations, reduced payment fraud losses and Real time fraud detection and mitigation.

Oil and gas industry, organizations must apply new technologies and processes that will capture and transform raw data into actionable insight to improve asset value and yield while enhancing safety and protecting the environment.

With Big Data

Big Data for oil and gas companies expand to include multiple geographic markets; they must find new ways to optimize an international supply chain, efficiently allocating resources and personnel across the globe. Optimizing operations is essential for managing risk and achieving regulatory compliance without raising the costs of compliance.

Many travel and transportation organizations lack visibility into asset health, incur high costs from unscheduled maintenance and are unable to determine root cause of failures. As fares and rates are published daily, time is of the essence. There is a clear need for more automation to quickly and thoroughly research and analyze all the data in order to optimize fare pricing strategies.

With Big Data

Big data and analytics will fundamentally change manual fare analysis to smarter, automated fares by applying analytics to hundreds of millions of published fares and rapidly analyzing hundreds of terabytes of historical domestic and international fares, competitor behavior, seasonality data and overall market opportunity data. Reduced equipment downtime and outages and Improved yield management through automated inventory control and fare rules.

Like most other businesses in most other industries, companies in the energy business are turning to big data to find ways to increase customer satisfaction improve energy production reliability and efficiency, plan for future demands, and lead energy and water conservation initiatives.

With Big Data

Big data is a critical element to solving key business problems for utility companies. It can turn the information from smart meter and smart grid projects into meaningful operational insights and insights about their customer’s behavior.