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data warehousing and data mining

Data Warehousing and Data Mining: Applications and Emerging Trends You Need to Know

To thrive in an ever more competitive business world, you not only need to mine data for similar patterns and convert them into actionable insights, but you also need to get better, faster, and smarter at it. At the same time, the scope for finding insights will be even greater. So long as you can figure out how to mine and manipulate data, you’ll be able to learn more about your business than ever before. This also helps you to understand precisely how each piece fits together and how every action and business decision feeds into the mix.

By leveraging data warehousing and data mining techniques and investing in the right data mining applications, businesses can gain a competitive advantage and uncover valuable insights to improve customer experience and business growth. Today data warehousing and data mining techniques have become strategically important to many data-rich firms and play a key role in enterprise decision making. Owing to such factors, it is now considered to be a crucial component of the enterprise decision making and this increase in demand has prompted business executives to ask themselves the following questions-
• Should I invest in data warehousing and data mining software?
• Would it be best to hire data mining analysts or consult an external data mining solutions provider?
• How can data warehousing and data mining help tackle business challenges?

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Though there are no universal answers to these questions, it’s crucial to note that the answers depend on the business landscape, industry, and project requirements. To respond with confidence, business leaders must familiarize themselves with the fundamental characteristics of data warehousing and data mining tools. They need to understand that a successful data warehousing and data mining project requires them to select an appropriate problem and then deploy the most suitable data mining technology or select a data mining service provider for that problem.

Applications of Data Warehousing and Data Mining 

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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.

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Data Mining Engagement for a Traditional Chinese Medicine Company Helps Identify Anomalies in Datasets

What the Client Wanted

Leverage data mining techniques to predict future outcomes by identifying incongruities, data correlations, and patterns within huge sets of data in the traditional Chinese medicine segment.

The Outcome

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A leading traditional Chinese medicine (TCM) manufacturing firm, wanted to help their patients achieve and maintain health by developing precise remedies to tackle their health issues. The staggering amount of unstructured data related to lifestyle disorders and other chronic diseases posed major challenges that hampered their R&D process.

To unearth insights using the right data mining techniques, the traditional Chinese medicine manufacturing firm approached Quantzig to leverage its expertise and devise appropriate solutions to help their customers.


Traditional Chinese Medicine Market Overview

Traditional Chinese medicine is an ancient field of medicine based on the principles of Daoism, which states that everything in the universe is interrelated. Thousands of years of observation and practice resulted in the development of traditional Chinese medicine, which follows a unique strategy to understand the functions of internal organs and physiological processes. Traditional Chinese medicine is a very complex and complicated field of the medical system that aims at promoting health through diet and exercise. It also focuses on treating illnesses using herbs, acupuncture, and Qigong.


Challenges facing the Traditional Chinese Medicine Market

  • Authentication issues: Traditional Chinese Medicine (TCM) is winning supporters across the world, which makes it necessary for players in this filed to validate the safety and quality of their medicinal products. A proper authentication process along with the use of data mining techniques can help ensure that the products are safe from contaminants. However, the recently formed Chinese Medicine Association of Suppliers (CMAS) in the UK plays a key role in authentication.Request Solution Demo
  • Difficulty in creating an appropriate placebo: A major challenge for traditional Chinese medicine practitioners revolves around the difficulty in developing appropriate placebos for multiple-herb based decoctions. This is because it is technically challenging to produce an indistinguishable placebo in the form of decoction for a multiple-herb formulation.

About the Client

One of the largest manufacturers of premium traditional Chinese medicine. The client is a global leader in scientific research and production of Chinese Granule Herbs, with their sales network spread across 30 countries globally. 

Client’s Challenge

Owing to the challenges they faced in drug discovery, the client wanted to implement efficient data mining techniques to discover data patterns that help improve the quality of drug discovery and drug delivery methods. The traditional Chinese medicine firm wanted to sift through the repetitive noise in their data to gain an understanding and make use of relevant factors and assess likely outcomes.


Data Mining Engagement Summary

Traditional Chinese Medicine

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Business Impact

Implementation of data mining techniques helped the traditional Chinese medicine manufacturer to build a successful predictive model to predict future outcomes of their medicinal formulations. It also helped them find answers to essential analytical questions such as – Which formulations are likely to be retained? How to ensure effectiveness and efficiency with optimal resource allocation? What factors after the drug discovery process?

Insights on data mining techniques

Organizations today have access to huge volumes of information that is gathered from all kinds of sources across the industry. However, the unanswered question here is – How can you use this data to generate insights that are required to drive business value? This is where ‘Data Mining Techniques’ contribute in a big way. Data mining techniques play a key role in helping organizations predict future trends and act accordingly to carve out a niche for themselves in the market.


Did this case study help you gain detailed insights on how data mining techniques can help drive your business’ profit margins and keep abreast of the new industry trends? To know more

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