Today’s banks are using convenience to compete for new customers, and mobile banking is bringing more convenience to bank customers than ever before. Using a smartphone to manage bank deposits, transfers, and transactions eliminates trips to the local bank branch and waiting in line. And new mobile payment systems are starting to replace debit cards. Mobile technology is changing the face of banking, but with new technology comes a need for new infrastructure and strategies to manage new risks.

New Mobile Payment Technology for Banking

Today’s banks are using convenience to compete for new customers, and mobile banking is bringing more convenience to bank customers than ever before.
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Where there is data, there is a need for analytics, and healthcare generates an inordinate amount of data about operations, patient care, prescriptions, work hours, insurance payments and more.

Business Intelligence and Big Data Analytics in Healthcare

Where there is data, there is a need for analytics, and healthcare generates an inordinate amount of data about operations, patient care and more.
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Electronic medical records (EMRs) have become standard practice in medicine, making it easier to access patient records anywhere at any time and opening new sales possibilities for solution providers looking to penetrate the healthcare market.

The Different Roles of BYOD, Mobility and Telemedicine

The top five drivers cited for BYOD adoption in healthcare are the following.
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There was a time when an enterprise network was a self-contained system, allowing traffic in and out of the network via routers and gateways that could closely monitor data traffic, and making it easier to manage data security.

IT Security's Relationship with Interoperability

Here we'll explore IT security's relationship with interoperability.
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Big data has evolved well beyond the "buzzword” phase, and solution providers have been working with customers to deliver actionable intelligence, especially in financial services and banking.

Big Data in Financial Services: What You May Not Know

Here are seven of the trends and technologies having an impact on big data in financial services.
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When it comes to big data, the experts talk about big insights, and this is especially true for retailers. Perhaps more than any other market that solution providers support, retail is a numbers game with tight margins and critical delivery dates. Even the smallest savings or improvement in efficiency can translate into big bucks, which is why more resellers are convincing retailers to invest in big data projects.

A recent study by IDC shows that businesses are employing more data-driven decision-making. IDC forecasts that sales of big data products and services will increase at a compound annual growth rate of 23.1 percent through 2019, with annual spending reaching $48.6 billion in 2019. Retail in particular is looking for help to adopt big data in order to learn more about its customers, sales patterns and inventory management. Retailers and e-commerce brands are using more analytics in order to drive strategic action, especially for localization in order to create the right product mix for regional customers, and in order to forecast demand for new products.

So how can resellers help retailers harness big data in order to improve their operations? Here are just four practical examples:

Four Big Data Examples in the Retail Market

Solution providers can help retailers harness big data in order to improve their operations. Here are just four big data examples in the retail market.
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Access to more data is changing healthcare for the better, not only in terms of improving the quality of patient care but also improving efficiency, reducing operating costs and increasing profits. In order to make better use of the growing influx of data, healthcare facilities are spending more on IT operations in order to develop big data strategies and apply analytics that can translate that data into better care and more cost-efficient operations.

Healthcare Data: The Business Case for the Organization

Access to more data is changing healthcare for the better, not only in terms of improving the quality of patient care but also improving efficiency.
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Healthcare providers are under more fiscal and regulatory pressure than ever before. New insurance requirements and new government rules require new strategies for compliance, which mean added costs. Passage of the Affordable Care Act (commonly called Obamacare) has placed new pressures on providers, both in recordkeeping and controlling rising operating costs. Healthcare providers need to rethink how they operate and create new systems to make care more cost-effective, and business analytics can go a long way to helping hospitals, clinics and medical practices find new ways to streamline operations.

The New Role of Business Analytics in Healthcare

Healthcare providers have access to more data than ever before and are seeking new ways to use business analytics to control costs.
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As we have said here before, any company of any size in any industry can benefit from big data analytics, but perhaps it is the healthcare industry that has the most to gain. Hospitals generate a lot of data for patient care, drug administration, operations, insurance billing, regulatory compliance and a host of other requirements, and all that data can be used to improve the quality of care and operations. Big data analytics seems made for healthcare, and there are dozens of use cases that deliver a high ROI for any medical practice.

Seven Big Data Examples That Have Improved Healthcare Operations

Here are just seven examples of big data use cases that have real value for healthcare providers.
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