Tag: Data Analytics

transportation data analytics

A Multinational Manufacturing Giant Revamped Their Logistics Workflow Using Transportation Data Analytics

Headquartered in Denmark, the client is a leading consumer packaged goods manufacturer whose private label products are distributed to several retail outlets across the globe. To sustain a competitive edge, the client wanted to deploy the right logistics management systems and efficient processes to transport their products to the end-users. Though they had an extensive delivery team spread across geographies to connect their warehouses and partner outlets, they faced major roadblocks in transporting their goods in a timely manner.

The Business Challenge

Data obtained from every source can help you unearth actionable insights if analyzed accurately, and transportation data is no exception. Having said that, it’s crucial to note that transportation data analytics has the potential to improve logistics management, as well as enables businesses to optimize transit routes and services. Leveraging transportation data analytics to develop route maps can help businesses to optimize the logistic workflow, which in turn, will result in a drastic reduction in congestion levels and time spent in transit.

Request a FREE proposal to learn how you can create advanced logistics worflows using our transportation data analytics solutions.

The manufacturer’s delivery team was complex and comprised of hundreds of employees and partners. The use of outmoded logistics tracking systems made it difficult to track, update, monitor, and deliver products in a timely manner. Also, the outdated legacy systems were difficult to maintain and proved to be of no use in logistics management. Such factors along with the ongoing loss made it crucial for the client to replace the legacy system with a more efficient logistics work flow.

Solution Offered and Value Delivered

The CPG manufacturer approached Quantzig to leverage its expertise in transportation data analytics and drive significant improvements in the logistics work flow. Our transportation data analytics solutions helped the client to gain in-depth insights into their logistics routes through advanced backend dashboard that provided real-time insights based on transportation data.

Through our transportation data analytics solutions we helped the client to revamp their current logistics workflow and achieve the desired level of efficiency. In addition, it’s essential to note that transportation analytics improved their logistics and route planning capability and helped them achieve huge savings on maintenance and renewal.

Ensure the efficient transportation of people and goods using advanced strategies built from the insights of transportation data analytics.

Benefits of Transportation Data Analytics

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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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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.

data and analytics

Evaluating the Importance of Data Analytics and Visualization for Businesses

When it comes to successfully positioning your organization in the competitive market, data analytics and visualization act a key ingredient. Data visualization using appropriate data analysis methods can provide valuable insights into business operations. Such insights can be incorporated by businesses in the decision-making pipeline to make data-driven decisions. Leveraging such data analytics and visualization solutions can help companies to analyze their data irrespective of the size, scale, type, and domain and improve their decision-making capabilities.

Data analytics and visualization have become a necessity for companies to manage risks and comply with the changing regulatory landscape.

Therefore, it is imperative for businesses to realize the importance of data analytics and visualization as visuals are immensely capable of predicting all possible outcomes and make complex decisions to yield favorable outcomes. In this article, our team of experts has highlighted how data analytics and visualization techniques can be utilized to make the most of the statistical data, old experiences/learnings, and fresh ideas to launch new products.

Extracting insights from disparate datasets can be a difficult task for companies. But data analytics and visualization techniques can help. Request a FREE demo today!

How can data analytics and visualization help businesses?

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fleet risk management

Web Mining: A Key to Boost Your Business on Web

What is Web Mining?

When data mining techniques are applied to web data to identify useful patterns, it is called web mining. Web mining integrates the information collected from world wide web and information fetched from data mining techniques to quantify the success of a marketing campaign for any business. Web mining is one of the web analytics solutions that help organizations in analyzing the effectiveness of a specific website, understand consumer behaviour and competitors’ strategy efficiently. The information collected through web mining offers actionable insights into the web structure, content, and usage.

Types of Web Mining

Web Mining-Type #1: Web Content Mining

Web content mining aims at collecting multimedia documents such as video, images, and audio that are hyperlinked or embedded to the web pages. Web data mining deals with unstructured or semi-structured data and requires a creative approach to data mining techniques. In the last few years, the activities in the field of web content mining have expanded rapidly due to the exponential growth of data on the web. However, due to the lack of structure of web data and its heterogeneous nature poses several challenges in the web content mining process.

Web mining solutions can help in enhancing your website’s performance significantly. Request a FREE proposal now to know how!

Web Mining-Type #2: Web Structure Mining

Web structure mining aims at analyzing the link structure of the web and identifying more desirable documents. Web structure mining assist companies in identifying similarities between different websites. It aims at generating a structural summary about the web page and the website. The main aim of web structure mining is to focus on the inner-document structure as well as on the structure of the hyperlinks at the inter-document level. Web structure mining uses topology of hyperlinks to categorize and deliver information on the relationship and similarities between multiple websites.  

Web Mining-Type #3: Web Usage Mining

Web usage mining aims at predicting the behaviour of users while they interact with the world wide web. It helps in discovering the navigation patterns of users. Also, it fetches useful information from the user interactions on the web that further helps in understanding consumer behaviour and buying patterns. Furthermore, such insights can help in providing personalized services, site modification, and overall system improvement.

Request a FREE demo to find out how our customized analytics dashboards can help you categorize your web pages and offer personalized services to your users.

Advantages of Web Mining Solutions

Benefit #1: Improves business on the web

Web mining helps in analyzing click-stream data and unveiling e-business opportunities in real-time. It aids in targeting the right customers at the right time by understanding their needs. Also, web mining solutions help in customizing services according to customers demand which further helps in improving marketing strategies. Furthermore, web mining solutions help in improving the effectiveness of a website by offering what users want at the right time.

Web crawling and text mining solutions can help in improving cross-selling opportunities. Want to know how? Read our latest success story here:

Web Crawling and Text Mining Engagement for A Leading Digital Media Industry Player Helps in Increasing Cross-Selling Opportunities

Benefit #2: Helps in analyzing customer behaviour 

By leveraging web mining solutions, companies can understand and analyze several concerns such as the relationship between customer’s present and past behaviour and their loyalty towards the website. Analyzing customer-centric web behaviour can be helpful for companies in improving the website segmentation based on customer behaviour and preferences. Also, it can help in offering personalized services to customers. Furthermore, web mining guides in predicting customer’s future behaviour which is very important for a website’s future content design and planning.

Are you finding it difficult to analyze the effectiveness of company communications and customer interactions on the world wide web? Web analytics solutions may hold the key to success. Get in touch with our experts.

Benefit #3: Assists in analyzing proxy servers

Web mining has the ability to help in identifying user behaviour on a particular website. Businesses can leverage web mining solutions to perform investigations on their own website and can yield actionable insights into the needs of users and accommodate them. But apart from this, what is equally important is analyzing a user’s behaviour on the proxy servers. Web mining can efficiently do this and can help in generating an overview of customer behaviour on the internet.

Quantzig’s Advantage

Businesses that run online receive heavy traffic on a daily basis and the immense volume of continuous data makes it extremely challenging for businesses to track their visitors and analyze website statistics, potential consumers, and prospective buyers. Quantzig’s data analytics services and web mining solutions help companies in managing large volumes of web data and set up customized dashboards to derive real-time insights to facilitate data-driven decisions. Quantzig’s data analytics solutions provide companies with the required technologies, capabilities, and frameworks to handle the sheer volume and variety of data while ensuring privacy and security of information. Quantzig with leading data-governance practices deliver best-in-class frameworks for data visualization and multi-dimensional data aggregation that further helps in better insight generation.

enterprise data integration

7 Ways Enterprise Data Integration Enhances Business Value

data integrationIn today’s complex business world, companies across industries have started recognizing the true potential of data. Monetizing data has become essential for businesses to stay ahead of the curve. However, enterprises are facing critical challenges in today’s competitive business environment such as reshaping business operations, strategies, and sales on several fronts. This is where enterprise data integration services come to the rescue. 

It is high time that enterprises develop the ability to replicate and integrate their data. Businesses should accelerate the process of enterprise data integration with real-time and modern data integration solutions using analytics. Customer data processed in real-time is creating new opportunities. Enterprise data integration services can help businesses to reduce risk, improve operational efficiency, and identify new opportunities.

At Quantzig, we understand the difference that enterprise data integration solutions can create for companies. And to help enterprises excel in the competitive landscape, our team of experts have highlighted some of the crucial benefits of enterprise data integration that can help businesses to build a modern data architecture and reduce disruptions to production workloads.

Enterprise data management frameworks can help companies in leveraging data governance in real-time. Want to know how? Request a FREE proposal now!

What are the Benefits of Enterprise Data Integration?

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Customer Behavior Data

Reasons Why Fraud Analytics is the Need of the Hour

What is Fraud Analytics?

Fraud analytics is an umbrella term that comprises numerous quantitative sciences like business intelligence and data analytics in order to better understand fraud. Furthermore, fraud analytics helps in developing effective fraud detection solutions through data science.  Many organizations practice traditional anomaly detection methods for fraud prevention and detection. But unfortunately, they are not powerful and function under certain limits. When analytics is added to such traditional fraud prevention methods, it improves the capabilities of fraud prevention and gives a new dimension to the fraud prevention techniques. Additionally, fraud analytics empowers organizations to have proper control over every ongoing activity.

Reducing exposure to risks, fraud, and credit losses is a daunting task for businesses. Are you facing the same issue? Get in touch with our experts to know how our fraud analytics solutions can help.

Fraud analytics can prevent businesses from the cost of fraud which is equivalent to a financial iceberg, some of the direct losses are clearly visible but there is a huge mass of hidden harm that companies cannot see.

Why is Fraud Detection Important?

For an organization, fraud detection forms an integral part of the risk analysis process. It provides the ability to quickly filter out fraudulent sources which prevent an organization from any high-level risk in the future. Here are a few reasons why fraud detection is important:

  • Decreases exposure to fraudulent activities
  • Reduces costs associated with fraud
  • Identifiesvulnerable employees at risk of fraud
  • Improves organizational control
  • Enhances the organizational result
  • Boosts the confidence and trust of the shareholders

REQUEST FREE PROPOSAL

Are you facing difficulties in financial risk monitoring and management? Leveraging fraud analytics solutions may help. It has the potential to manage risks more effectively to maximize ROI. Request a free proposal to know more about our portfolio of fraud analytics solutions.

Benefits of Fraud Analytics

Helps in identifying hidden patterns

Fraud analytics along with machine learning has the potential to help organizations in identifying new trends, patterns, and scenarios under which frauds take place but traditional approaches to fraud prevention miss such things.

Aids in integrating data

Fraud analytics plays a crucial role in integrating data. It combines data from public records and multiple sources that can be integrated into a model.

Improves existing efforts

Fraud analytics instead of replacing traditional rule-based methods just adds up to existing efforts of the organization to provide improved results.

Harnesses unstructured data

Unstructured datasets are the most complex thing for companies to deal with. Fraud analytics helps in deriving the best value from such unstructured datasets. Data warehouse of any organization consists mostly of structured data, but unstructured data is the source where more fraudulent activities take place. This is where fraud analytics plays an important role in reviewing the unstructured data and preventing fraud.

Our recent success story highlights the importance of fraud analytics in the telecom sector and explains how leveraging fraud analytics solutions helped a telecom industry player to overcome revenue losses. Click here to read the full story.

Methods of Fraud Analytics

Perform SWOT

With the increasing importance of fraud analytics, organizations too have realized the important role it plays in the process of growth. But many of these organizations are opting for expensive fraud detection solutions that do not match with the strengths and weaknesses of the company. Therefore, it is essential for the organizations to do SWOT analysis before starting with the fraud detection process in order to make it work to the fullest.

Sampling

Sampling is an effective method of fraud detection that involves a lot of data. However, it has its own disadvantages too. Sampling may not be able to control the fraudulent activities completely as it takes only a specific population into consideration.

Ad-Hoc

Ad-Hoc is nothing but identifying fraudulent activities by the means of a hypothesis. It offers the ability to explore and test the transactions in order to detect the fraud. Also, you can conduct a hypothesis to test and find out if there is any abnormal activity occurring and then you can investigate the same.

Repetitive or Continuous Analysis

Repetitive analysis generally refers to creating and setting up scripts to run against a huge volume of data to determine the frauds as they occur over a period of time. This method of fraud analytics helps in running the script every day to go through all the transactions. Furthermore, this provides periodic notification regarding the frauds. This method can help in enhancing the overall efficiency and consistency of your fraud detection processes.

We understand the challenges companies face in the management of claims, underwriting, actuarial, pricing and marketing functions. Our analytics solutions provide best-in-class frameworks to determine the level of risk in claims, creating individualized and relevant policies to suit and benefit customers, and identifying key indicators that provide insights into risks and quantify predicted loss severity from loans and claims. Request a free demo below for more insights.

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