• September 23, 2019

Emerging Trends in Data Warehousing and Data Mining | A free resource by Quantzig - Odessa American: Business

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Posted: Friday, September 6, 2019 10:34 am | Updated: 11:04 am, Fri Sep 6, 2019.

LONDON--(BUSINESS WIRE)--Sep 6, 2019--

Quantzig, a leading analytics advisory firm that delivers customized analytics solutions, has announced the completion of its free resource that highlights the importance of data warehousing and data mining. 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. However, the real challenge lies in gathering and examining the datasets to extract meaningful insights that can help make impactful business decisions. Advanced data mining techniques can help uncover valuable insights to improve customer experience and business growth.

This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20190906005356/en/

“If you’re looking to embrace advanced analytics, it’s essential to set the first foot forward by starting with a well-thought-out business plan that leverages data mining to analyze data sets,” says a big data analytics expert from Quantzig.

Quantzig’s data mining experts can help you jump-start your analytics journey. Request a FREE demo to know more!

Emerging Trends in Data Warehousing and Data

  • Time Series Data Mining

Time series-based data mining techniques help businesses to mine data to analyze periodic trends. This practice is also helpful in analyzing random events which occur outside the normal series of events.

  • Ubiquitous Data Mining

This method involves the mining of data from mobile devices to get information about individuals. This data mining method offers a lot of opportunities for players across industries especially in studying human-computer interactions.

Request a free proposalto know more about our portfolio of advanced analytics solutions.

  • Distributed Data Mining

This type of data mining is gaining popularity as it involves analyzing the information stored in different company locations or at different organizations. Highly sophisticated algorithms are used to extract data from different locations and provide detailed insights to aid decision making.

  • Multimedia Data Mining

Multimedia data mining is a data mining technique that extracts data from different sources and converts it into a numerical representation for easy analysis. Apart from data clustering and classification, multimedia data mining also helps perform similarity checks to identify associations between data sets.

About Quantzig

Quantzig is a global analytics and advisory firm with offices in the US, UK, Canada, China, and India. For more than 15 years, we have assisted our clients across the globe with end-to-end data modeling capabilities to leverage analytics for prudent decision making. Today, our firm consists of 120+ clients, including 45 Fortune 500 companies. For more information on our engagement policies and pricing plans, visit: https://www.quantzig.com/request-for-proposal

View source version on businesswire.com:https://www.businesswire.com/news/home/20190906005356/en/

CONTACT: Quantzig

Anirban Choudhury

Marketing Manager

US: +1 630 538 7144

UK: +44 208 629 1455

https://www.quantzig.com/contact-us

KEYWORD:

INDUSTRY KEYWORD: TECHNOLOGY DATA MANAGEMENT

SOURCE: Quantzig

Copyright Business Wire 2019.

PUB: 09/06/2019 11:34 AM/DISC: 09/06/2019 11:33 AM

http://www.businesswire.com/news/home/20190906005356/en

© 2019 The Associated Press. All rights reserved. This material may not be published, broadcast, rewritten or redistributed.

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