Tag: big data analytics strategy

big data visualization

Weekly Round-Up: A Storyboard on the Benefits of Big Data Visualization

LONDON: Quantzig, a leading analytics services provider, has announced the release of their latest storyboard on the benefits of big data visualization and how it can help businesses churn the large chunks of big data and harness the information lying beneath it. 

By utilizing big data visualization tools, companies can anticipate the available data to trace outliers, trends, patterns and interact with it to make informed decisions. The need for big data visualization tools can be inferred from the fact that the global business Intelligence and analytics software market is expected to grow significantly by 2019.

Quantzig’s analytics solutions have helped more than 55 Fortune 500 companies to make data-driven decisions and boost their revenue. Below, we have rounded up some of Quantzig’s recent success stories for this week and have also highlighted ways in which big data visualization have helped companies to speed up the process of comprehending large and complex data.

Leverage Quantzig’s optimized data analytics solutions that are designed to address your analytics requirements, reduce costs, and deliver outstanding performance. Get in touch with us today!

#1: Big data visualization facilitated robust risk management strategies: Making informed decisions, improving competitive position in the market are challenging tasks for businesses. Are you finding it difficult too? Not anymore. Big data visualization holds the solution to this. By utilizing big data visualization tools companies can manage storage and integration of big data. Furthermore, this can offer actionable insights into competitors’ strategy and help in devising robust risk management strategies.

Quantzig’s Big Data Analytics Helps A Pharmaceutical Industry Client Devise Robust Risk Management Strategies

#2: How will virtual reality transform big data visualization?  Although there are layers of technological capabilities that companies have been using to seek meaningful outcomes from the available data, the use of virtual reality in transforming big data visualization is a relatively new concept. The large amounts of data generated by organizations can be understood only through a series of data analytics steps, and effective data visualization plays a vital role in enhancing this strategy.

How Will Virtual Reality Transform Big Data Visualization?

#3: Big data visualization improved customer engagements significantly: Are you wondering how to address customer challenges and demands? Data visualization of heterogeneous data can help as it helped one of Quantzig’s clients who was facing the same issue. The client approached Quantzig to leverage its expertise in providing big data visualization solution. Quantzig’s visual analytics solution offered unparalleled visibility into heterogeneous data and enhanced customer engagement by innovating their products and analyzing their journey.

Big Data Analytics Helps a Leading Gaming Industry Client to Improve Customer Engagements

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#4: Big data visualization boosted operational efficiency and on-time delivery: Analyzing real-time information in every step of the production process is not an easy task for businesses. Don’t you agree? This is where big data visualization comes to the rescue. By using big data visualization tools companies can gather actionable insights from various sources, which include social media, business transactions, and information from machine-to-machine or sensor data. Additionally, it can help in aligning business strategies and objectives and identifying industry trends and consumer buying patterns.

#5: Big data visualization enhanced product launch planning and decision making: Creating real-time data repository and reporting system is an essential component for any business for data-driven decision making. This is where big data visualization comes into the picture. It has the potential to assist in analyzing various data sources and setting up data mapping and normalization methodologies which results in better decision making and effective business planning.

Global pharma company improves product launch planning through real-time big data analytics reporting

#6: Big data visualization and master data management reduced the cost of ownership and skyrocketed profit margins: This is one of the most significant success stories of Quantzig, where the client managed to gain strategic insights into the entire manufacturing operations through real-time cost analysis dashboard. This helped them in reducing the cost of ownership and improving profit margins by 10%. Moreover, visual analytics also helped the company to seek instant feedback and pro-actively solve problems before they arise.

Global pharma company improves product launch planning through real-time big data analytics reporting

With the help of Quantzig’s predictive analytics solutions, a lot of businesses are taking improved decisions for better and profitable orders. Are you interested in our data analytics solutions? Request a FREE proposal now!

#7: Realizing savings of $12 million in 12 months with big data visualization: Do you really think consolidating large volume of data and obtaining real-time insights is a humongous task? If yes, then you must go through our latest success story where Quantzig’s big data visualization tools and predictive analytics solution helped the client to save $12 million in 12 months. With big data visualization tools, it becomes easy to gain meaningful insights for process automation and optimization. Furthermore, this helps in enhancing process coordination, determining operation requirements, planning procurement, production operations, and labor utilization which results in significant savings.

Big data analytics saves USD 12 million for industrial equipment manufacturer

#8: Big data visualization revamped decision making by predicting future network scenarios: Are your data analytics models hindering informed decision making? If yes, then you must be going wrong somewhere in assessing a plethora of data. This is clearly evident in Quantzig’s latest success story where the client was dealing with the same issue. But by utilizing big data visualization tools and predictive analytics solutions, the client was able to realize a great improvement in its decision-making process. Furthermore, these solutions paved the way for quick verification of the results of the analysis with different input parameters and make accurate predictions.

Big Data Analytics Reduces Transport Network Congestion

#9: How to create a synergy between big data visualization and human intuition? The rise in machine learning and computational power has driven the growth of big data visualization. As a result, the trend of adopting big data visualization among organizations for decision making is on the rise. However, still, many companies rely on human intuition and experience for better and effective decision making. But businesses need to realize that combining the power of big data with human intuition can unlock immense possibilities.

Creating a Synergy Between Big Data Analytics and Human Intuition

#10: Big data visualization transformed the business ecosystem: Business forecast might sound complex, but you need not worry if you have proper big data visualization tools in place. A leading financial services firm was dealing with similar predicament but experienced a significant change in their business outcome by leveraging Quantzig’s data visualization solutions. These solutions helped them to discern patterns in the extracted datasets. This enhanced transparency of the risk management process. Additionally, it helped in analyzing assets and a better understanding of idiosyncratic risk factors.

Data Visualization Best Practices | A Success Story on How it Turned Out to be a Wise Investment for a Financial Services Firm

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big data solutions

Weekly Round-Up: A Storyboard on The Benefits of Big Data Solutions

LONDON: Quantzig, a leading analytics services provider, has announced the release of their latest storyboard on the benefits of big data solutions and how it can help businesses derive actionable insights from huge and complex data sets.  With the availability of an enormous volume of data, it has become a daunting task for businesses to quickly identify, fairly evaluate, and continuously drive market excellence.

By leveraging big data solutions, companies can improve decision making and gain the ability to direct, optimize, and automate decisions, on demand, to achieve desired business goals. By applying big data technologies, businesses can make informed business decisions, while ensuring information privacy and security.

Quantzig’s analytics solutions have helped more than 55 Fortune 500 companies to make data-driven decisions and augment growth. Below, we have rounded up some of Quantzig’s recent success stories for this week and have also highlighted ways in which big data solutions have helped companies to drive business growth by delivering data integration and data management.

Are you finding it difficult to curate, process, and analyze the huge data sets available? Get in touch with our experts to check out how our big data solutions can help you.

#1: Identified and combated fraudulent activities by leveraging big data solutions: The unexpected surge in datasets, though a game changer, has become a major roadblock for many big players. Are you facing the same problem? Don’t worry, our big data solutions can help you just like how it helped one of our clients facing the same issue. By leveraging big data solutions, companies can capture massive datasets prudently and can analyze them to derive actionable insights. Also, big data solutions can help companies to develop a robust big data management system and can prevent fraudulent activities, which in turn, can lead to the growth of ROI.

How Quantzig’s Big Data Analytics Services Help Combat Fraud in the Telecom Sector

#2: How are big data solutions revolutionizing supply chain efficiency? Are you tired of supply chain waste and inefficiency? No more, as big data solutions are here to help you out. Big data technologies have the potential to help companies gain better insights into the ability to track and monitor supply chain activities in real time. Also, big data applications can help in analyzing market trends and suggest optimum inventory levels at various locations. Furthermore, big data analytics has made the collection, tracking, and timely delivery all possible through data.

5 Ways Big Data and Analytics is Revolutionizing the Food Industry

#3: Big data solutions improved decision making and offered actionable insights into day to day business activities: Adapting to evolving consumer expectations and increasing demand for transparency is one of the biggest challenges businesses facing today. Don’t you agree? This is where big data solutions come to rescue. By using big data applications, companies can sharpen their analytic skills and familiarize themselves with the complexities associated with the distribution networks and massive volume of structured and unstructured data. Big data analytics can be linked directly to the decision-making process to deliver the value for improved business performance.

How a Food Industry Player Benefitted from Infusing Big Data Insights into their Decision Making Process

#4: What are the common mistakes businesses must avoid while developing a big data management strategy? A proper, rigid, and reliable analysis enables you to make fact-based and rational decisions, but if mistaken, big data analytics can lead you astray and you might end up suffering a huge loss. So, you must avoid making some common mistakes such as going too rigid in processes and products, relying on the same KPIs always and many more. Therefore, data scientists need to utilize big data solutions properly as these solutions act as a pair of glasses that helps them see the actual reality of a business’ performance.

3 Common Mistakes to Avoid in Big Data Analytics

#5: Big data solutions enhanced the performance of business campaigns: Do you really think tracking demographics and consumption patterns of the end-users is a difficult task? If yes, then you must go through our latest success story where Quantzig’s big data solutions simplified huge volume of campaign data and translated the extracted data into intuitive reports and real-time dashboards that quickly conveyed the status of the ongoing campaigns. Furthermore, this improved the client’s business outcome and customer satisfaction.

Improving Campaign Performance with the Help of Big Data Analytics – A Case Study on the Media Industry

Empower Your Business with Analytics

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#6: Big data solutions increased periodical margins and visibility into manufacturing data: Understanding the best performing products, product families and geographic regions is not an easy task for businesses. But big data solutions can help in dealing with such issues efficiently. This is clearly evident in our latest success story where the client was facing the same challenge and approached Quantzig to leverage its expertise in providing big data services. Quantzig’s big data solutions offered unparalleled visibility into manufacturing data which in turn improved periodical margins significantly.

Quantzig’s Big Data Analytics Helps a Leading Car Battery Manufacturer Blend Data with Inventory and Order Backlog Data-Sets to Increase Periodical Margins

#7: What are the top big data use cases for modern businesses to zoom ahead? Organizations today have access to huge volumes of datasets, but it wouldn’t help them unless they decipher the method to draw insights from them. . Analyzing the benefits of big data is not as simple as putting all the data in a single place. Therefore, organizations should essentially take time to identify and crystallize the true benefits of big data for their business such as the use of big data for personalization of services, detecting fraud, log analytics and much more.

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

#8: Big data solutions helped to identify and explore the new area of investments: Are you facing difficulty in identifying new areas of investments for your business? If yes, then you must be going wrong somewhere in analyzing the unstructured data and curtailing wastage of your resources. Quantzig solved one of its client’s similar issue by offering its big data solutions that proved beneficial in effectively analyzing the unstructured data and uncovering the lucrative areas of investment in the marketplace. Furthermore, this paved the way for establishing optimal utilization management (UM) process.

Big Data Analytics Helps a Leading Health Insurance Company to Establish an Optimal UM Process and Identify New Investment Areas

#9: Big data solutions boosted customer satisfaction, retention rate, and reduced churn rates: Customer satisfaction and their loyalty can be a cause of concern for businesses, but you need not to fear if you have proper big data solutions in place. A leading probiotics food manufacturer was dealing with the same issue but experienced a great change in their overall customer experience by leveraging Quantzig’s big data services.  These solutions helped them to anticipate the future behavior of their customers and segment them accordingly in order of their importance. Additionally, it assisted in offering personalized product and services to the customers, which further aided them to efficiently calculate risks.

Big Data Analytics for a Leading Probiotic Foods Manufacturer: A Quantzig Case Study

#10: Why big data solutions have become a pre-requisite for every business? Today technology has made data one of the most crucial assets for companies. It is one of the important keys that can improve the competitive advantage of one business significantly. In fact, if you are searching for ways to empower the productivity of your business, then maximizing the amount of data being analyzed is one of the most important success strategies.  Therefore, it has become a prerequisite for businesses to leverage big data solutions in order to meet customer expectations and effectively manage the influx of data.

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

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Big Data and Analytics

Data Analytics Services are Crucial to Your Business. Learn Why and How!

Without data analytics services, business leaders are blind, wandering onto the web like a deer on a freeway.”

To have a good data management strategy into place, underpinning all business processes, is an apparent requirement for all business professionals. But it is tougher than you would think to get the data management process right. Almost every business has a need for data-driven insights today, but many are not yet realizing that ambition. Consequently, data management tends to get disintegrated and driven by multiple stakeholders. This results in high degree of disparate and inaccurate data for organizations and they face a number of challenges in maintaining it. Additionally, with the sheer volume of data, it has become very difficult for organizations to aggregate, manage, and create value from data. Therefore, businesses need to identify a more sophisticated approach to data visualization and the importance of good quality data. Right from building better relationships with customers to overcoming external and internal data visualization challenges, there is a need to revamp and evolve enterprise data management practices.

This is where data analytics services can help. If you are looking for ways to transform raw numbers into targeted solutions by gathering and analyzing day-to-day data within your company, it’s high time that you leverage data analytics services. Also, digital analytics can help you unveil hidden correlations by segmenting your market and customizing your products or services with the help of proper data frameworks. With data analytics services, a huge amount of unstructured data become concise and comprehensive data that are helpful in modeling and predicting your market opportunities. Whether you are in the healthcare, media and entertainment, insurance or chemical industry, data analytics services have become an essential requisite for survival. With that being said, let’s take a look at what is data analytics below and how it can help your business reach the pinnacle of growth.

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Big Data and Analytics

5 Ways Big Data and Analytics is Revolutionizing the Food Industry

The food industry is one of the most profitable sectors across the globe. However, with the increase in global competition, companies in the food industry have started facing numerous challenges such as reducing supply chain waste, optimizing supply chain efficiency, boosting sustainable growth, implementing green policies, and finding a competitive advantage. To deal with such challenges, businesses in the food industry need to focus on leveraging big data and analytics to keep close tabs on new supply chain trends and competitors’ market progress.

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 companies in food industry 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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benefits of data analytics

Top 3 Benefits of Data Analytics That Can Take Wearable Technology to the Next Level

From fitness and activity trackers to “smart clothing” and smartwatches, the possibilities are practically limitless within the industry for wearable technology. And this growth is further enhanced by the promise of high monetary rewards. But design and data collection are only a small component of the potential that wearables offer to both companies and consumers. Taking wearable technology to the next level of usefulness requires companies to build in additional analysis features that increase engagement levels, improves the usefulness of the wearable technology, and provides an unparalleled experience to the consumer. In other words, the benefits of data analytics can help companies to effectively determine what the wearable technology is actually doing for their consumers. But the question that arises here is, what are the benefits of data analytics and how can it help wearable technology to become even more popular. This article has answers to this question. Here, we have discussed in detail some of the significant benefits of data analytics that have potential to take wearable technology to the next level in 2019.

Benefits of Data Analytics

Detailed insights from collected data

One of the most crucial benefits of data analytics is that it can turn collected data into the foundation needed for actionable insights, and in doing so provides additional company and consumer benefits. For example, a sleep tracking device might collect data on how and when a consumer is sleeping. But without the analysis of the collected data, the device only helps in identifying the hours that a consumer sleeps or fails to reach a REM cycle. Does this knowledge help consumers in any way? The answer is simple, no! It is in this context that the real benefits of data analytics are realized.

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Personalized services based on habits 

By leveraging the benefits of data analytics, wearable devices can provide personalized offers to consumers. By analyzing the data captured by wearable technologies, companies can create marketing offers that are customized to each consumer. For example, a step-tracker can reveal that a consumer takes the most steps around lunch time. By leveraging this information viaRequest Proposal personalized offers, companies can encourage the consumer to take more steps throughout the day. 

Improved employee health and productivity

One of the key benefits of data analytics is their ability to improve the health and productivity of employees. Wearable technology can collect the data needed for a company to analyze the productive hours of the day of their employees. Additionally, the devices can also monitor employees’ health, so that the company can mitigate risks associated with lack of sleep, high levels of stress, and other health symptoms that contribute to an ineffective and unhappy workforce.


Want to gain better insights into the benefits of data analytics and its ability to enhance the capabilities of today’s wearable devices?

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metadata management

3 Common Mistakes to Avoid in Big Data Analytics

Today, big data analytics is one of the most crucial processes for any business, big or small. For data scientists, it acts as a pair of glasses that helps them see the actual reality of a business’ performance, beyond scattered numbers in graphs. A proper, solid, and reliable analysis allows you to make fact-based and rational decisions, but if mistaken, advanced data analytics can lead you astray and you might end suffering a huge loss. So, it can be safely presumed that it is not enough to have good quality data unless you use the datasets efficiently. However, there are many hurdles that businesses might encounter along the way. While implementing a new strategy to strengthen your business with advanced data analytics, mistakes can prevent you from realizing its complete potential. So, in this article, we have summed up some of the common blunders businesses should avoid while developing a big data analytics strategy.

Mistakes to Avoid in Big Data Analytics

Being rigid in processes and products

If you are rigid with your process and product, you are committing a big mistake. You should begin your project in a way that is both strategic in vision and agile in execution. Therefore, you need to pick technologies that are open and expandable. For example, you must avoid vendor lock-in by using open source tools. For obtaining optimum results from advanced data analytics, it is important to foster a culture that fosters failing fast and learning from mistakes. You must avoid letting egos drive your project and understand that if your team experiments on ten things, eight of them might not work. You should get people on board in your data project team who can thrive in this sort of DevOps style of work.

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Neglecting security and governance at the beginning

Today, security and governance are extremely important, as privacy is one of the major concerns in almost every industry. Businesses still tend to start big data analytics projects as pilots, with just a handful of people working on them, and without security and governance baked in. This is a huge mistake when it comes to big data analytics. You must get compliance, governance, and security conversations started on the very first day of the project. You must carefullRequest Proposaly choose the right governance strategies, as well as the right technology of governance.

Relying on the same KPI’s always

As things are constantly changing and your business is subjected to constant dynamics, so you must learn to adapt to the ever-changing environment. This is how you can prosper. So, try not to hold on to the old performance indicators that are used to measure your success in the past. You need to use newer and more suitable tools to make advanced data analytics tools reflect the current performance of your business and identify what really drives your business forward.

Quantzig’s Advantage

Being a leader in offering big data analytics services, Quantzig helps businesses to manage, store, and integrate huge datasets. Also, we help businesses to gain predictive insights that facilitate proactive business decisions and pre-emptive planning. Additionally, Quantzig promises to deliver best-in-class frameworks for multi-dimensional data aggregation and utilizes visualization-based data discovery tools for insight generation.


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metadata management

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

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…)