Category: Business Intellegence

Practical Business Intelligence

Business Intelligence (BI) is at the crux of revolutionizing enterprise. Everyone wants to minimize losses and maximize profits. Thanks to Big Data and improved methodologies to analyze data, Data Analysts and Data Scientists are increasingly using data to make informed decisions. Just knowing how to analyze data is not enough, you need to start thinking how to use data as a business asset and then perform the right analysis to build an insightful BI solution. Efficient BI strives to achieve the automation of data for ease of reporting and analysis.

Through this book, you will develop the ability to think along the right lines and use more than one tool to perform analysis depending on the needs of your business. We start off by preparing you for data analytics. We then move on to teach you a range of techniques to fetch important information from various databases, which can be

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Artificial intelligence in business: Separating the real from the hype

Typically understood as being all about robots and whiz-bang machines, artificial intelligence (AI) can be tough for executives to wrap their business minds around. In this episode of the McKinsey Podcast, senior partner Peter Breuer and McKinsey Global Institute partner Michael Chui speak with McKinsey Publishing’s Simon London about burgeoning business applications of artificial intelligence, the line between hype and true use cases for AI, and how business leaders can separate one from the other.

Audio

Artificial intelligence in business: Separating the real from the hype

Podcast transcript

Simon London: Hello and welcome to the McKinsey Podcast. I’m Simon London with McKinsey Publishing. Today, we’re going to be talking about artificial intelligence. It’s certainly a hot topic in the business press and also starting to attract quite a lot of attention in the mainstream media.

You’ve probably read pieces about everything from killer robots to

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Masters of Science in Business Intelligence

Welcome to COBICC.

We are the consortium of data warehousing, business intelligence and data integration professionals working with Daniels College of Business, Denver University.

MS-BI: Masters of Science in Business Intelligence and it is a Daniels College of Business, University of Denver degree. The degree is delivered by a cross-departmental team including Information Technology and Electronic Commerce (ITEC), Statistics, and Marketing.

The program has focused efforts in Data Warehousing, Data Mining, Business Intelligence, Statistics, Text Integration, Unstructured Data, Data Modeling and Database Design efforts.

See our vendors and tools that are utilized within our program.

Colorado Business Intelligence Community Connection

Our unique academic advisory board consists of industry thought leaders including:

Maureen Clarry
Bill Inmon
Claudia Imhoff
Daniel Linstedt
Kent Graziano
Tammy Henderson
Lowell Fryman
Chuck Wolter
Carolyn Hepp
Shawn Rogers

CONTACT INFORMATION:
Hans Hultgren
Senior Lecturer
Daniels College of Business,
University of Denver
2101 South University Blvd. Suite

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BIDA | Master of Information Systems Management | Business Intelligence and Data Analytics Pathway

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2020 Gartner Magic Quadrant for BI and Analytics

*Before 2014, Qlik was known as QlikTech and was recognized by that name in all Gartner Magic Quadrant materials.

Gartner, Magic Quadrant for Analytics and Business Intelligence Platforms, 11 February 2020, James Richardson | Rita Sallam | Kurt Schlegel | Austin Kronz | Julian Sun

This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from Qlik.

Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness

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The Importance of Business Intelligence in Your Organization | Todd West Media – Professional Website Design Services Made Affordable

The Importance of Business Intelligence in Your Organization

business intelligence systems The Importance of Business Intelligence in Your OrganizationBusiness Intelligence is a concept that typically involves the delivery and integration of relevant and useful business information in an organization. As such, companies use business intelligence to detect significant events and identify/monitor business trends in order to adapt quickly to their changing environment or scenario. If you use effective business intelligence training in your organization, you can improve the decision making processes at all levels of management and improve your tactical and strategic management processes. Here are some of the top reasons for investing in a proper business intelligence system.

To Get Insights into Consumer Behavior

One of the main advantages of investing in business intelligence software and skilled personnel is the fact that it will boost your ability to analyze the current consumer buying trends. Once you understand what your consumers are buying, you can use

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10 Principles of the New Business Intelligence

Business intelligence–and its predecessor concepts decision support, executive information systems, and so forth–have been circulating for several decades in business. However, I don’t think it’s ever fully worked. What we’ve done is to throw data (often in the form of difficult-to-navigate data warehouses) and software tools at business users, and said “Go at it.” That’s simply been too hard. We used a lot of terms like “ad hoc queries” and “drill down,” but it simply didn’t happen very often.

I’ve argued for a while that organizations need to increase their focus on decision-making. In particular, they need to think again about the relationship between information and decision-making. I recently completed a study on this topic, with the sponsorship of IBM’s Information Management business unit, in which I looked at 26 efforts to improve decision-making in organizations. I concluded the following ten things about how business intelligence (BI) needs to evolve:

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10 Steps to Adopting Artificial Intelligence in Your Business

Artificial intelligence (AI) is clearly a growing force in the technology industry. AI is taking center stage at conferences and showing potential across a wide variety of industries, including retail and manufacturing. New products are being embedded with virtual assistants, while chatbots are answering customer questions on everything from your online office supplier’s site to your web hosting service provider’s support page. Meanwhile, companies such as Google, Microsoft, and Salesforce are integrating AI as an intelligence layer across their entire tech stack. Yes, AI is definitely having its moment.

This isn’t the AI that pop culture has conditioned us to expect; it’s not sentient robots or Skynet, or even Tony Stark’s Jarvis assistant. This AI plateau is happening under the surface, making our existing tech smarter and unlocking the power of all the data that enterprises collect. What that means: Widespread advancement in machine learning (ML), computer vision, deep learning,

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Top 50 Business Intelligence Blogs, Websites & Influencers in 2020

1. Reddit – Business Intelligence

Reddit - Business Intelligence

About Blog Business Intelligence feed by Reddit. Keep up with Commercial and Open Source Business Intelligence Tools and Techniques. Frequency 2 posts / dayAlso in Business Analytics Blogs Blog reddit.com/r/BusinessIntelli..
Facebook fans 1.3M ⋅ Twitter followers 698.6K ⋅ Domain Authority 91 ⋅ Alexa Rank 18

2. R-bloggers | R news and tutorials contributed by (750) R bloggers

R-bloggers | R news and tutorials contributed by (750) R bloggers

About Blog ‘R’ is a language and open-source software used as a standard by statisticians in the development of statistical software. R-Bloggers focuses on tutorials and tips for using R to create effective and efficient applications for use in Business Intelligence and other solutions. Frequency 2 posts / day Since May 2005 Also in R Programming Blogs Blog r-bloggers.com
Facebook fans 76.9K ⋅ Twitter followers 81.1K ⋅ Social Engagement 86 ⋅ Domain Authority 62 ⋅ Alexa Rank 25.3K

3. IT Business Edge

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15 facts about the Business Intelligence market

The business intelligence market is heating up – and there have been a number of exciting developments over the last couple of years. Here we take a look at some of the key statistics surrounding the industry and explore forecasts into its future. We hope these facts help to shed some light on the direction in which the business intelligence market is going – and they may even help your business prepare for the challenges to come.

Big data

  • It is estimated that approximately 2.7 Zetabytes of data exist in the digital universe today.
  • According to estimates, the volume of data collected by businesses worldwide doubles every 1.2 years.
  • Poor data or ‘lack of understanding the data’ are cited as the primary reason for overrunning project costs and could cost businesses 20%–35% of their operating revenue.
  • Poor data quality costs US businesses up to $600 billion annually/

The Business Intelligence

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