Tag: Big Data Analytics

analytics solutions

How Can Analytics Solutions Empower Businesses in 2019?

With the changing business environment, data analytics solutions have become the key to outshine all competition. Leveraging analytics solutions effectively is the major difference between companies that fail and succeed in the competitive business landscape of today. Companies that are highly successful in the B2B marketplace are using analytics solutions to devise effective and highly specific campaigns to reach out to targeted prospects with a curated message. Data analytics solutions help business organizations to make data-driven decisions and pave the way for businesses to identify inefficient processes, spot new opportunities, and cut costs significantly. With the help of algorithms, data analytics solutions assist companies to extract actionable insights from the data and make data visualization simpler. There are various analytics solutions such as web crawling, text mining, predictive analytics, and market mix modeling that act as a silver bullet for companies operating in various sectors.

Here is a brief summary of common business challenges that can be mitigated with the aid of analytics solutions:

Challenges e-commerce businesses face and how web crawling and text mining solutions can help?

Competitor research, dynamic pricing, new product research, assessing the required data, and managing proxies to reliably scrape the web without disruption are some of the major challenges that e-commerce businesses face. Therefore, it becomes important for such businesses to consider the reliability of their data feed. Web crawling and text mining solutions can help e-commerce businesses to do so. Web crawling and data mining solutions can also assist marketers to fine-tune product portfolios, optimize price points, and customize it down to the individual level to boost profitability. 

How can analytics in healthcare help companies deal with challenges in the industry?   

Despite its promising growth prospects, companies in the healthcare sector are hard pressed when it comes to finding solutions to several complicated issues such as shooting costs, medicinal and technological advancements, changes in policy and regulations, maintaining efficient operations, and providing the best care. But this is where leveraging analytics in healthcare can help. The use of data analytics solutions in healthcare can help healthcare service providers in minimizing healthcare waste, reducing hospitals readmissions, and providing cost-effective treatments to patients.

How can B2B companies tackle growing business challenges by utilizing market mix modeling?

Today, it has become really difficult for businesses to measure marketing effectiveness. Analyzing the future impact of a change in marketing metrics and optimizing investments to drive profits is a daunting task for B2B companies. Also, the influence of operational factors and several external factors can lead to an increase in the market spend for B2B businesses. This is where market mix modeling can be taken into account to set the correct foundation for their marketing strategies and branding solutions.

Here is the list of that Quantzig Conducted on the above topics that you can watch for free:

#1: Importance of web crawling and text mining solutions to improve e-commerce business strategy: Customized web crawling and text mining based analytics solutions can help e-commerce businesses to tackle critical challenges created by the recent explosion of data. Web crawling and text mining solutions assist businesses to explore innovative techniques to collect vast volumes of online data and organize it in a structured manner. Furthermore, it helps gain better business insights, improves business planning, and optimizes decision management. Watch out the full webinar here:

#2: How can analytics bring in commercial excellence in the healthcare industry? Healthcare regulations and advancements in medicines have resulted in the restructuring of healthcare provisioning as well as diversification and specialization in life sciences. Organizations in healthcare need to develop commercial strategies that include all stakeholders. Leveraging analytics in healthcare can help organizations to gain real-world insights and maintain a single source of accurate information of customers for segmentation, targeting, and call planning. Check out the full webinar here:

#3: Is market mix modeling a cornerstone for B2B companies?  Marketers across industries are hard pressed to prove the value of their marketing investment decisions based on the performance of their business and identify opportunities for optimizing investment. Market mix modeling helps companies to develop a multi-channel strategy to execute and measure campaigns across digital channels and boost conversions. Watch out the full webinar to know more:

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cloud analytics

Cloud Analytics: A Guide to Enterprise Data Consolidation

What is Cloud Analytics?

Cloud analytics is an approach that involves the application of advanced algorithms to identify data patterns and extract valuable insights. Today companies are increasingly relying on data analysis to improve business operations and gain an edge over competitors. By leveraging cloud analytics approaches, companies can improve their decisions significantly and enhance business performance. Cloud analytics provides an indispensable platform that can help in scaling analytics capabilities and reduce the burden of management and implementation.

Cloud analytics can help organizations to improve their data governance capabilities by consolidating information from all communication channels and resources. Want to know how? Get in touch with our experts right away.

Components of Cloud Analytics

Data sources

Data sources are the original sources of data that comprise ERPs, social media data, CRM, and website usage data. Twitter sentiment data is an example of a cloud-based data source.

Data models

Cloud-based data models explain the relationship between various data points. They are created with structured data types.

Analytic models

Analytics-based models are mathematical models that are used to forecast business outcomes and drive change using data-driven and fact-based information.

Cloud analytics solutions can help companies to improve flexibility and serve their customers better by consolidating critical data. Request a FREE proposal to gain better insights.

Types of Cloud Analytics

Public cloud

Public clouds are operated by third-party cloud service providers and within a public cloud, all hardware, software, and other supporting infrastructure is managed by the cloud service providers.

Private cloud

A private cloud is a cloud computing resource that is used exclusively by a single organization. A private cloud is usually located on the company’s on-site datacenter. Also, some companies pay third-party service providers for hosting their private cloud. A private cloud facilitates the maintenance of the services and infrastructure on a private network.

Hybrid cloud

Hybrid clouds comprise both public and private clouds which are connected by technology that allows the sharing of data and applications between them. A hybrid cloud-based platform provides better flexibility and deployment options to the business by allowing data and applications to move between private and public clouds. Furthermore, this helps organizations to optimize existing security, compliance, and infrastructure.

Request a FREE demo below to know how our advanced analytics services can help your business.

Benefits of Cloud Analytics

Performance

Cloud analytics helps businesses to improve performances through fast and efficient computing hardware. This offers several benefits over a single corporate data center, including reduced network latency for applications and greater economies of scale.

A better understanding of the bottom line

Cloud analytics can transform every segment of an organization by giving access to human resources, marketing, and operations to the important financial information they need to execute the visual analysis. This can provide a better understanding of the bottom-line impact of their decisions.

Breaking down departmental silos

For any organization financial data is very important. Therefore, if business users outside the finance department have access to this data, it can help in improving the business functions. Cloud analytics provides the ability to query and analyze data from a single source. Furthermore, cloud analytics solutions help in sharing strategy and discipline across the core business operations.

Want to know more about the benefits of cloud analytics? Request for more information below.

business analytics

5 Benefits of Business Analytics that Can Help You Drive Positive Business Outcomes

BUSINESS ANALYTICS

What is Business Analytics?

Business analytics refers to the skills, technologies, and best practices that empower organizations to iteratively explore and investigate past business performance to gain insights that help drive future business outcomes. Companies use business analytics for data-driven and smart decision making. Business analytics helps companies derive the desired outcome for businesses. It also enables companies to optimize and automate business processes and achieve a competitive advantage by offering insights that help them to :

  • Explore data and find new patterns
  • Conduct statistical and qualitative analysis effectively and explain the reasoning to certain results
  • Validate previous decisions using multivariate testing and A/B testing
  • Utilize predictive analytics and predictive modeling techniques to predict future results

Our business analytics solutions help companies in strategic decision-making. Want to know how? Request a FREE proposal now.

Benefits of Business Analytics

Benefit #1: Encourages smart decision-making

Jetting off in the wrong direction can derail a business process. Fast decision making is easy, but smart decision making is more important for businesses in a short span of time. Business analytics empowers companies to easily access crucial data to make smarter decisions and stay ahead of the curve.

Benefit #2: Offers actionable insights through data visualization

Business analytics uses customized dashboards, charts, and graphs that can make decision-making more interesting. By leveraging analytics solutions businesses can gauge their performance and improve their bottom-line. The visual representations of relevant and extracted data provide detailed information about the target market and enable businesses to offer personalized services to customers.

Quantzig’s business analytics solutions help clients in tactical decision making to support real-time responses through customized analytics dashboards. Request a FREE demo below to know more.

Benefit #3: Keep businesses updated

Today customers are digitally empowered and are easily influenced by better offers in the market. By leveraging business analytics companies can gain insights into customer sentiments and responses to any particular product or service. Business analytics can keep companies updated with the latest market trends and can protect against any unpredictable or volatile situation. This can also empower businesses to innovate and pre-empt their products according to customers’ needs and preferences.

Benefit #4: Makes business processes efficient

Since its advent, business analytics has improved the efficiency of businesses significantly. It has the ability to analyze clusters of data at a faster rate and with maximum accuracy. Consequently, this can help companies to achieve their business goals. Also, by leveraging various analytics tools, companies can encourage a culture of cooperative teamwork where employees can contribute to data-driven decision making.  

Are you finding it difficult to analyze trend data and assess the likelihood of future outcomes? Our business analytics solutions can help. Get in touch with our experts right away!

Benefit #5: Helps in quantifying company values

Every successful business has a set of core values that determine their success ratio. By leveraging business analytics, companies can gauge how these values are quantified and conveyed in a tangible way to drive maximum profit. Quantified values can help businesses in improving their analytical process by defining a common goal that should be followed by everyone associated with the business.

big data and analytics

6 Ways Big Data and Analytics Are Driving Profitability for the Telecom Industry

Today’s world of communications is driven by data produced by connected devices, social media networks, customer behaviours, call data records, government portals, and billing information. Telecom operators are finding it very difficult to deal with this avalanche of data. However, big data and analytics solutions can transform this challenge into an opportunity efficiently. By leveraging big data and analytics solutions, telecom operators can integrate new types of data in larger volumes and in real-time. Also, data analytics can help telecom operators in optimizing service, improving customer satisfaction, boosting revenues, and enhancing overall business value. In this article, our team of analytics experts has highlighted a few important ways in which big data and analytics can impact the bottom line and drive profitability for the telecom industry.

Quantzig offers customized analytics solutions to telecom companies to improve returns from CAPEX and OPEX. Request a FREE proposal to know more about our portfolio of services.

Benefits of Big Data and Analytics in Telecom

Big Data and Analytics Benefit #1: Improved Customer Insights

By leveraging big data and analytics solutions, telecom operators can turn structured and unstructured data into actionable customer insights. Big data and analytics solutions enable telecom operators to establish customer-centric KPIs, develop better customer profiles, and provide more targeted offers. Now, with the help of big data solutions, operators can retain that data longer and join different datasets together to gain better insights. Following are the components of customer data that telecom operators can consider reaching meaningful customer insights:

  • Customer information data
  • Device data
  • Usage data
  • Location data

Telecom operators serve a huge number of customers. By analyzing such customers’ data correctly through customer churn analysis, sentiment analysis and clickstream analysis, telecom operators can segment their customers into similar groups. Furthermore, this can help them to personalize their approach to meet the needs of each customer group and identify valuable customers, which is very crucial for strategic decision-making.

Big Data and Analytics Benefit #2: Accuracy in Churn Prediction

One of the most critical challenges that telecom operators face is customer retention. For any company, acquiring a new customer is more expensive than retaining the old ones. Therefore, churn prediction is very crucial for telecom operators. Big data analytics solutions include techniques such as data mining that helps to determine unseen patterns and decision trees, which enable early detection of customer’s value loss and long-term forecasting. Also, it enables telecom operators to identify factors responsible for customer churn and influence customer decisions.

Our customized analytics dashboard helps telecom companies realize and implement real-time analytics to derive insights on reducing fraud risks and losses. Request a FREE demo right away to gain better insights.

Big Data and Analytics Benefit #3: Enhanced Customer Experience

Big data analytics offer insights that help in improving the customer experience at every touch point through fast feedback, high-performance services, and personalized offerings. Big data applications allow telecom operators to unlock new insights in real-time that help them to proactively offer products or services to their customers at the right time. Additionally, this aids telecom operators to up-sell and cross-sell their offerings and improve revenues.

Also, with the help of predictive analytics, telecom operators can accurately predict and identify scenarios that lead to bad customer experience. But with the help of big data and analytics solutions, telecom operators can turn all the potential bad experiences into good ones by providing them user-specific solutions.

Big Data and Analytics Benefit #4: Increased Revenue

Big data and analytics solutions can bring considerable value to decision-making and provide more meaningful insights. This can further help to build competitive advantages and a more efficient cost structure. Driven by insights into big data trends, telecom operators can launch new business models and venture towards new niche segments.

Big data and analytics solutions provide telecom operators capabilities for business optimization, that can help them to boost revenue through better-targeted marketing strategies and minimize costs by identifying revenue leakages. By leveraging big data and analytics solutions, telecom companies can analyze the effectiveness of their marketing investments and optimize their marketing spends across channels to drive maximum ROI.

Want to know more about the benefits of big data and analytics in the telecom industry? Request for more information below.

Big Data and Analytics Benefit #5: Improved Quality Of Service

Big data and analytics solutions can help telecom operators to gain actionable insights into their networks in order to make them optimized, endurable, and scalable. This, in turn, helps in improving service quality in many cases. Also, big data and analytics solutions enable operators to optimize call routing by analyzing their network traffic with real-time call drop rate analysis.

Telecom companies can manage their network better through the measurement of cellular network performance and data traffic in real-time. Big data and analytics solutions can also efficiently help in adjusting maintenance schedules and proactive care by comparing real-time information with historical data.

Big Data and Analytics Benefit #6: Enhanced Security

Telecom companies can use big data and analytics solutions to investigate and identify fraudulent activities simultaneously. Data analytics solutions can help companies monitor large volumes of data gathered from customer demographics, customer usage patterns, sentimental data, geographical usage trends, and behaviour data. Furthermore, this can help telecom operators to predict the likelihood of unexpected behaviour through analytically driven surveillance.

Big data and analytics solutions can also be used for identifying fraudulent claims and unauthorized devices, customer data protection and tracking payment processing. This enhances security and helps telecom companies to manage risks efficiently.

big data and AI

Big Data and AI: Empowering Business Innovation in 2019

With technologies like big data and AI evolving rapidly, businesses are competing to offer more personalized experiences to their customers. But many organizations seem to struggle when it comes to integrating data from multiple sources. Therefore, they look for big data and AI marketing solutions to process and analyze the large datasets to derive meaningful patterns and trends that can help in better decision-making. Today, there is a need for organizations to combine the agility of big data processes with artificial intelligence capabilities to improve their decision-making processes. The convergence of big data with AI is a complete game changer that can guide companies to derive optimum business value from their data and analytics capabilities. In this article, our team of big data experts have highlighted the relationship between big data and AI and the ways through these technologies are transforming the business world.

Our customized big data analytics solutions help companies to derive real-time insights into customer’s buying patterns. Request a FREE demo right away to know more.

What is Big Data and Artificial Intelligence?

Big data refers to the huge volumes of datasets that can be analyzed to unveil market trends, understand patterns in customer behaviour, and predict customer needs. These datasets are collected from multiple sources, some of which are available publicly. Big data comprises structured data, such as transactional data in a relational database, and unstructured data, such as email data, images, sensor data, and much more.

Artificial intelligence refers to the form of computing that makes it possible for machines to perform cognitive functions, adjust to new inputs, learn from experiences, and perform complex tasks. Artificial intelligence performs frequent, computerized, high-volume tasks reliably and without fatigue. It adds intelligence to existing products and adapts through progressive learning algorithms.

How AI is used in Big Data?

Today the internet provides concrete information about interests, habits, activities, and personal preferences of consumers that was not possible a decade ago. Social media platforms, social activity, tagged interests, product reviews, shared content, and customer relationship management systems all help in adding potentially insightful data to the pool of big data. Artificial intelligence uses data from multiple sources to build a store of knowledge that can help make accurate predictions about consumers’ buying and spending patterns. The impact of combining AI with big data can be understood by AI’s ability to work so well with data analytics. With the proliferation of big data and AI technologies, devices and machines are getting smarter and are acquiring the ability to perform in a better manner. Consequently, this is resulting in consistent improvements in big data solutions that will further boost the market adoption of these solutions.

Making informed business decisions while ensuring security and privacy can be a daunting task for businesses. Big data solutions can help. Request a FREE proposal to know more.

How big data and AI is transforming the business world?

Improving targeted marketing

Big data and AI have improved targeted marketing immensely. Big data and AI help companies to understand their customer behaviours and preferences. By leveraging big data and AI marketing solutions, companies can now combine the insights obtained from their traditional data sets with social media data, text analytics, and browser logs. Furthermore, this can help in predicting future demand for products or services. This way organizations can market the products or services that they knew their customers needed.

Changing the way social media is used

One of the most important ways in which big data and AI has impacted the business world is through social media. It has resulted in a remarkable increase in personalized content targeting which, in turn, is leading to an increase in sales opportunities. Big data and AI marketing solutions are making use of effective behavioural targeting methodologies. This is also helping businesses to effectively respond to customer’s demand and improve customer experience.

Want to know more about how big data and AI solutions can help improve the efficiency of your business model? Request for more information below.

Enhancing fraud prevention abilities

The modern digital world has undoubtedly elevated the game of professional fraudsters. But the capabilities of fraud detection tools powered by big data and artificial intelligence models can protect businesses against these sophisticated fraud schemes. By leveraging natural language processing, video recognition, machine learning engines, speech recognition, and automation, companies can easily track the unusual activity at all the levels of business operations.

Introducing customer responsive products

 Big data and artificial intelligence marketing solutions are not only improving customer service by making it proactive but are also allowing companies to develop customer responsive products. Today product design is focused on fulfilling customers’ needs in ways never possible before. Big data and AI technologies have improved the capabilities of a business to analyze the customer’s need through data analysis. Also, companies can determine how a future product should serve customers by gathering information via buying habits, surveys, and even case scenarios from customers.

Reducing costs

Big data and AI solutions have the potential to reduce business costs by helping companies find trends and predict future events accurately. Inventory management is always expensive for businesses. But with big data analysis, companies can predict when production is necessary. This can further help in improving inventory planning and optimization and reduces cost significantly.

Are you wondering how to manage the sheer volumes of continuous data? Artificial intelligence based business models can help. Get in touch with our experts to gain better insights.

big data and analytics

Big Data and Analytics Helped an FMCG Brand to Analyze Customer Behavior and Build Targeted Marketing Campaigns

The client is a leading US-based FMCG brand with over 10 production plants spread across 5 mainstream countries of operation. Over the past ten years, the client has been able to dominantly sell its products across international market segments. However, they faced several challenges in analyzing customer data owing to the burgeoning nature of datasets, hence they wished to leverage big data and analytics to analyze customer data and build targeted campaigns.

The Business Challenge

To succeed in today’s complex business scenario, FMCG brands must stay well equipped to manage the overwhelming amounts of data by leveraging big data and analytics. These datasets are set to multiply in the coming years owing to the rise in digitization and hence, capturing and analyzing a wide variety of data generated from disparate data sources is just one part of the challenge. Furthermore, the time-sensitive decisions on campaigns, promotions, and other aspects of sales rely on a retailer’s ability to make sense of these vast datasets. Factors such as these make it even more essential to leverage customized big data and analytics solutions to harness the true potential of the gigantic troves of data that are available in today’s data-centric era.

Gain a holistic view of your datasets with our customized big data and analytics solutions. Request for a FREE Demo right away!

The client, an FMCG brand had deployed an analytical processing tool that turned out to be inefficient in processing the huge volumes of campaign data and other information retrieved from several other data sources. Most reporting tools used today are time and effort-intensive and fail to serve the purpose when it comes to processing huge volumes of data. Due to this, the client had to invest heavily in IT infrastructure and licensing fees for analyzing and visualizing the datasets. Also, the inability of key decision-makers and stakeholders to access reports on-the-go further resulted in misalignments across business units. They approached Quantzig to leverage its expertise in big data and analytics to deploy a dashboard to transform the massive volumes of data into valuable insights, accessible on a real-time basis.

Solution Offered and Value Delivered

The big data and analytics experts at Quantzig helped the client to deploy a robust platform that leveraged big data and analytics to address the key challenges. As a part of this engagement, we devised a big data analytics dashboard that offered an accurate, comprehensive view of campaign performance on the mobile applications and in comparison with other active campaigns. The big data analytics solution also helped them harmonize multiple format datasets gathered from disparate sources. This empowered the client to gain a uniform view of all siloed datasets for enhanced decision-making. Moreover, the ability to gauge customer behavior and analyze sales volume enabled the client to develop targeted campaigns to suit the demands of specific customer segments.

Take Your Business to the Next Level With the Help of Big Data and Analytics

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Trends in Big Data Analytics

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Top 3 Benefits of IoT Analytics That Businesses Can’t Ignore

From consumers in a digitally rich era to enterprises harnessing new technologies, everyone and everything is connected in an internet of things world. IoT analytics has made it possible for businesses to gain actionable insights that can help them improve decision making effectively. Almost all businesses today are looking for real-time data to decide their next step that delivers a competitive advantage. IoT analytics is an analytical approach that involves analyzing data generated by sensors. The potential of these sensors can be deciphered from their ability to collect data about the physical environment. These data can be then combined and analyzed with various other forms of data to identify valuable patterns that can further help businesses in different aspects such as understanding customers behavior, customer sentiment analysis, detecting fraud, and ensuring security.

At Quantzig, we understand the importance of applying analytics to the incoming streams of data and the impact that it can create for businesses when the volume of data is growing continuously. And to help companies understand and leverage IoT analytics for their business operations, our team of experts have highlighted a few important benefits of IoT analytics.

Want to know how IoT analytics can help you improve your business operations? Get in touch with us.

Benefits of IoT Analytics

Benefit #1: Helps in identifying inefficiencies

Implementing IoT analytics can enable businesses to turn the big data that they gather into potential revenue. For example, If IoT analytics is used in mining businesses to monitor their processes of production, it can verify accurately whether automated mining systems are performing well or not. If performance is not as expected, it can further help in identifying the part of the process line that fails to yield the expected results.

Request a free proposal to know more about how Quantzig’s analytics solutions can help your business achieve desired outcomes in real-time.

Benefit #2: Assist in predicting future trends

IoT analytics solutions are leveraged by many industries today to identify future trends. The energy industry is perhaps one of the major industries that is taking advantage of IoT analytics today. Internet of Things is being used in several ways to improve this industry. One such application revolves around tracking the usage of energy to create reliable estimates of demands in the future. Also, analytics in IoT can help in tracking the performance of different business functions. This is a huge benefit of IoT analytics for the manufacturing industry.

Request a free demo to learn how IoT devices and analytics can help your organizations to leverage targeted marketing and promotions.

Benefit #3: Improves customer analysis and engagement

IoT analytics can help in identifying the trends of customers buying behavior and patterns. By combining Big Data with IoT analytics solutions businesses can track their customers’ buying patterns and their preferences. Also, it can help in sentiment analysis and provide customers the services they are looking for. Additionally, it also enables businesses to promote targeted advertisements to better serve their customers by offering a personalized experience.

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IR30

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

Want to know more about the benefits of data visualizations tools and techniques? Request more info

#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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