Tag: big data

healthcare data analytics

4 Effective Ways Healthcare Data Analytics is Reducing Healthcare Costs

Despite its promising growth prospects, healthcare service providers are hard pressed to find solutions to multiple complex issues including regulatory and policy changes, medicinal and technological advancements, rising costs, staff, and trained employees, maintain efficient operations and services, and support other healthcare initiatives. With increasing concerns for living healthier, longer, and lead more active lifestyles, healthcare costs have increased. Research reveals that the spending and healthcare costs often rise at rates more than the rate of inflation and is expected to increase even more in the years to come.

With the rising healthcare costs, co-pays and deductibles have become expensive and employers are burdened to take a bigger cut of their employees’ wages to pay for insurance premiums. This surge in healthcare costs will soon become a big barrier to the growth of the overall healthcare industry. Therefore, leaders must find alternative methods to combat rising healthcare costs. They must do the appropriate research to find funding, grants, and contributors to help them conduct research, set up programs and implement processes at the pace of change.

At Quantzig, we understand the impact that costs have on your business plans. And to help companies excel in an ever-competitive marketspace, our team of experts has highlighted four effective ways in which healthcare data analytics can reduce the Contact USrising costs of care.

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big data

5 Ways Big Data and Analytics Are Revolutionizing the Food Industry

The food industry is one of the largest sectors in the industrial world. With the increase in global competition, the food industry is facing numerous challenges like reducing supply chain waste, optimizing supply chain efficiency, boosting sustainable growth, implementing green policies and finding a competitive advantage. With growing complexities, businesses in the food industry need to keep close tabs on managing product and data throughout the supply chain.

Inefficient supply chain leads to low-profit margins and more wastage. Furthermore, if the supply chain is not optimized, it can result in the inability to adapt quickly to a problem and can increase operational costs. Therefore, players in the food industry must leverage the benefits of technology like big data and analytics to gain better insights into the ability to track and monitor supply chain activities in real time.

At Quantzig, we understand that to ensure the efficiency and performance of your supply chains, from sourcing to manufacturing to delivery, optimization is required. And to help food industry businesses thrive in the competitive landscape, our team of experts has highlighted five ways in which big data and analytics can help companies in the food industry to become market leaders. 

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big data analytics

4 Huge Big Data Use Cases for Modern Businesses to Zoom Ahead

Organizations now have access to more data than ever before, but unless companies decipher how to bring this data to work it proves to be absolutely useless. Understanding the benefits of big data is not as simple as putting all the data in one place. Their real value can be harnessed only through specific big data use cases and applications. Those applications tend to vary widely across departments and industries. While there are several technical challenges associated with integrating and managing all of this data, organizations should first take the time to identify and crystallize the right benefits of big data for their business. Let’s delve into some of the key big data use cases for modern businesses that we have identified with several successful customer deployments:

Top big data use cases for business

E-commerce personalization

With hundreds and thousands of search queries and customer databases, it often becomes difficult for e commerce companies to optimize their customer’s shopping experience. This daunting tasks of collecting, processing, and analyzing shoppers’ behavior and their transaction data open up a plethora of opportunities for big data in e-commerce. Using a powerful search and analytics platform e-commerce companies can clean and enrich product data for a better search experience on both desktops and mobile devices. They can also use predictive analytics and machine learning to predict user preferences through log data, and then personalize products in a most-likely-to-buy order. This would ensure maximum conversion. Quantzig’ s customer analytics solutions provide customer insights to drive sales and improve revenues through acquisition, growth, and retention.  

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data analytics

3 Ways Advanced Data Analytics Can Drive the Next Wave of Growth for Transportation and Logistics Companies

Today, transportation and logistics (T&L) companies have embraced advanced data analytics in their operations since it allows them to run sophisticated networks globally. But unfortunately, the investments made in advanced data analytics is not satisfactory. Now, it is time for that to change if the companies in the T&L sector really want their sales performance to grow. The commercial analytics capabilities of this sector lag average performance, which is primarily because of the reason that sales forces in this sector rely heavily on outdated processes and lack proper insights into preferences of their customers and growth opportunities. Here rises the need for big data analytics for T&L companies. They already have enough data and can utilize big data analytics extensively to earn desired outcomes. With years of experience in offering data analytics solutions to businesses, we have noted that companies in this sector who embrace advanced data analytics can generate an additional 2-5% percent return on their investment. In this article, we have summed up three things that T&L companies need to do to realize the true potential of advanced data analytics:

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big data analytics in marketing

Top 3 Reasons Why Every Business Needs a Big Data Analytics Strategy

Change is inevitable and adapting to change is the only way companies can sustain themselves in a competitive marketplace.

With advancing technology, business processes face the need to be regularly updated and analyzed to boost efficiency. Technology has made data one of the most important assets for any company. It is one of the keys that can boost the competitive advantage of one business to a great extent. In fact, if you are looking for ways to boost the productivity of your business, then maximizing the amount of data being analyzed is one of the most crucial strategies for success. Speaking of data, one of the hottest trends in data analysis this year has been big data. By utilizing a big data analytics strategy, companies can easily develop an effective strategy for their business’ successContact US by analyzing their unstructured data. In this article, we have highlighted the key reasons that make big data analytics strategy important for enterprises. (more…)

big data

3 Key Advantages of Big Data in the Finance Sector

Big Data in Finance

Today, big data is one of the biggest contributors to growth and advancements across all industries. The importance of big data for decision-makers and businesses has more to do with the data quality and its analysis rather than the raw amount of data. Good data can help businesses to troubleshoot issues or failures, generate information for customers at the point of sale to enhance their experience, forecast future system problems, and help businesses design strategies for reducing time and cost efforts. All of this is based on how well you can sort data and look for patterns and other insights. The role of big data in finance has also a lot to do with the same ability to derive meaningful insights from huge amounts of data. Big data in finance helps to crRequest Proposaleate better customer experiences and also helps protect businesses. In this article, we have talked in detail about the advantages of big data in finance and how it can help companies in the finance industry.

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US healthcare industry

3 Amazing Ways Data Analytics Can Help in Reducing Healthcare Costs

Are you looking for ways to provide the best care to each patienContact USt at your healthcare organization at lower costs? Reducing healthcare costs can often be a tough and challenging task for healthcare providers. But it is achievable! Today, there are some new tools and strategies that are being employed to help bring down the healthcare costs. And analytics is one of those tools. The advent of big data and AI has enabled healthcare professionals to capture and analyze heaps of digitized healthcare data to unveil new insights. Analytics is also ushering in a new era of premium quality healthcare that is available at lower costs.

With the help of the analytics experts at Quantzig, we have highlighted five amazing ways analytics can help in reducing healthcare costs. (more…)