statistical analysis

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Sentiment Analysis with AlchemyAPI: A Hybrid Approach

Published By: IBM APAC     Published Date: Nov 22, 2017
AlchemyAPI’s approach to natural language processing incorporates both linguistic and statistical analysis techniques into a single unified system. This hybrid approach provides an industry-leading advantage since both techniques have benefits and drawbacks depending on the content and specific usecases. Linguistic analysis takes a basic grammatical approach to understand how words combine into phrases, and how those phrases combine into sentences. While this approach works well with editorialized text (e.g., news articles and press releases), it does not perform as well when it comes to usergenerated content, often filled with slang, misspellings and idioms. Statistical analysis, however, understands language from a mathematical standpoint and works well on “noisy” content (e.g., tweets, blog posts, and Facebook status updates). The combination of these two approaches allows for increased accuracy on a variety of content.
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industry, advantage, linguistic, grammatical, statistical analysis, content
    
IBM APAC

Advanced Root Cause Analysis for Product Quality Improvement using ML in TIBCO Spotfire

Published By: TIBCO Software GmbH     Published Date: Jan 15, 2019
Gradient Boosting Machine (GBM) modeling is a powerful machine learning technique for advanced root cause analysis in manufacturing. It will uncover problems that would be missed by regression-based statistical modelling techniques and single tree methods, but can easily be used by analysts with no expertise in statistics and modelling to solve complex problems. It is an excellent choice for advanced equipment commonality analysis and will detect interactions between process factors (for example, machines, recipes, process dates) that are responsible for bad product. It can also be used to identify complex nonlinear relationships and interactions between product quality measurements (for example, yield, defects, field returns) and upstream measurements from the product, process, equipment, component, material, or environment.
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TIBCO Software GmbH

The Sales Impact of Optimized Product Content

Published By: Salsify     Published Date: Mar 15, 2019
Branded product pages on the digital shelf have become incredibly important both as a sales and marketing channel. For that reason, most brands are putting time and resources into improving the content of their product pages. But how exactly does content impact the numbers every business relies on? Read this report to get deep statistical insights on how product page content impacts search ranking, online market share, and sales overall. This study includes a range of analyses to help you quantify the actual sales value of your brand's product content using a variety of methodologies, including: An analysis of more than 500,000 Amazon search results pages A full-year examination of 60,000 Amazon product pages across 78 brands working with Salsify Data and stories from individual Salsify customers that invested in product content optimization Salsify is the product experience management platform for thousands of brands and retailers worldwide.
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Salsify

Delivering Hybrid Analytics at the Speed of Business: IBM Integrated Analytics System

Published By: Group M_IBM Q3'19     Published Date: Jul 01, 2019
This white paper considers the pressures that enterprises face as the volume, variety, and velocity of relevant data mount and the time to insight seems unacceptably long. Most IT environments seeking to leverage statistical data in a useful way for analysis that can power decision making must glean that data from many sources, put it together in a relational database that requires special configuration and tuning, and only then make it available for data scientists to build models that are useful for business analysts. The complexity of all this is further compounded by the need to collect and analyze data that may reside in a classic datacenter on the premises as well as in private and public cloud systems. This need demands that the configuration support a hybrid cloud environment. After describing these issues, we consider the usefulness of a purpose-built database system that can accelerate access to and management of relevant data and is designed to deliver high performance for t
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Group M_IBM Q3'19

Delivering Hybrid Analytics at the Speed of Business: IBM Integrated Analytics System

Published By: Group M_IBM Q3'19     Published Date: Sep 04, 2019
This white paper considers the pressures that enterprises face as the volume, variety, and velocity of relevant data mount and the time to insight seems unacceptably long. Most IT environments seeking to leverage statistical data in a useful way for analysis that can power decision making must glean that data from many sources, put it together in a relational database that requires special configuration and tuning, and only then make it available for data scientists to build models that are useful for business analysts. The complexity of all this is further compounded by the need to collect and analyze data that may reside in a classic datacenter on the premises as well as in private and public cloud systems. This need demands that the configuration support a hybrid cloud environment. After describing these issues, we consider the usefulness of a purpose-built database system that can accelerate access to and management of relevant data and is designed to deliver high performance for t
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Group M_IBM Q3'19

Moneyball Method of Field Service Management

Published By: Oracle Service Cloud     Published Date: Mar 23, 2016
In the early 2000s, two vastly different businesses—baseball and field service management—began to use advanced statistical analysis to gain an advantage over their competitors. They both revolutionized their respective fields by using statistical knowledge to improve performance. The new approach replaced old models and methods and attained shockingly good results as both set new standards for their respective industries. In this white paper, you will learn the general concepts behind predictive analytics and how they can be applied to a field service organization. The paper will cover the basic metrics that should be tracked, the use of performance pattern profiles, and how these principles can predict future events.
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oracle, service cloud, service management, customer interaction, best practices, business activity monitoring, business analytics, customer interaction service
    
Oracle Service Cloud

Empower Your Consumer Research Department with Predictive Analysis

Published By: SPSS Inc.     Published Date: Mar 31, 2009
In an intensely competitive marketplace, knowledge is power. The more an airline can learn about what its customers like and don't like about its offerings, the more effective it can be at building customer loyalty and maximizing its revenues.
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spss, american airlines, customer loyalty, maximize revenues, roi, specialized market intelligence, production of information, increased productivity
    
SPSS Inc.

Mastering New Challenges in Text Analytics

Published By: SPSS Inc.     Published Date: Mar 31, 2009
This paper briefly defines text analytics, describes various approaches to text analytics, and then focuses on the natural language processing techniques used by text analytics solutions.
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spss, text analytics, data management, statistical analysis, natural language processing techniques, computational linguistics, web sites, blogs
    
SPSS Inc.

Celcom teams with IBM to improve market campaigns and ROI

Published By: IBM     Published Date: May 29, 2015
Watch how Celcom, a Malaysian telco company, uses statistical analysis of customer behavior to deliver targeted promotions.
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telecommunications market, analytics, customer loyalty, competitive telecommunications, business intelligence
    
IBM

SPSS Stastics White Paper: The Risk of Using Spreadsheets for Statistical Analysis

Published By: IBM     Published Date: Sep 27, 2013
While spreadsheets are widely used for statistical analysis, they are useful only to a certain point. When used for a task they’re not designed to perform, or for a task beyond the limit of their capabilities, using spreadsheets can be risky. Read this paper to learn about more powerful yet easy-to-use analytics alternatives that may be more suitable.
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ibm, spss statistics, spreadsheets, ibm business analytics, statistical analysis, data analysis, data entry
    
IBM

Accurate Statistical Analysis of SERDES Links

Published By: Mentor Graphics     Published Date: Apr 25, 2016
Over the years, two major approaches to SERDES simulation have emerged and gained popularity: time-domain (or bit-by-bit) and statistical. Both are used to build the eye diagram and bit-error ratio (BER), and each has its benefits and limitations.
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mentor graphics, analysis flow, bit by bit, serdes, ber, gigabit networking, internetworking hardware, electronic test and measurement
    
Mentor Graphics

BER- and COM-WAY of Channel Compliance Evaluation

Published By: Mentor Graphics     Published Date: Apr 12, 2016
This paper, nominated for the DesignCon 2016 Best Paper Award, analyzes the computational procedure specified for Channel Operation Margin (COM) and compares it to traditional statistical eye/BER analysis.
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mentor graphics, ber, com, channel compliance, internetworking hardware, network architecture, performance testing, electronic design automation
    
Mentor Graphics

10 Really Good Reasons to use Predictive Analytics

Published By: SPSS     Published Date: Mar 31, 2009
This whitepaper details how predictive analysis can help your business.  Predictive analytics help you make better, faster decisions, giving your organization a significant competitive advantage in the technology sector.
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spss, predictive analysis, roi, data, data driven decision making, mitigate risk, fraud, real time intelligence
    
SPSS

Empower Your Consumer Research Department with Predictive Analysis.

Published By: SPSS     Published Date: Jun 30, 2009
In an intensely competitive marketplace, knowledge is power. The more an airline can learn about what its customers like and don't like about its offerings, the more effective it can be at building customer loyalty and maximizing its revenues.
Tags : 
spss, american airlines, customer loyalty, maximize revenues, roi, specialized market intelligence, production of information, increased productivity
    
SPSS

Reduce Churn Through Enterprise Feedback Management and Predictive Analytics.

Published By: SPSS     Published Date: Jun 30, 2009
Read how Cabelcom recognized the key to tackling churn and was able to identify the point at which customers become dissatisfied with their service.
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spss, cablecom, customer retention, crm, churn rate, reduce churn, predictive analytics, statistics
    
SPSS

Hard Hat Area: Myths and Pitfalls of Data Mining.

Published By: SPSS     Published Date: Jun 30, 2009
The intrepid data miner runs many risks, including being buried under mountains of data or disappearing along with the "mysterious disappearing terabyte."  This article outlines some risks, debunks some myths, and attempts to provide some protective "hard hats" for data miners in the technology sector.
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spss, data mining, data miner, data management, business process, best practices, business intelligence, statistics
    
SPSS

Mastering New Challenges in Text Analytics.

Published By: SPSS     Published Date: Jun 30, 2009
This paper briefly defines text analytics, describes various approaches to text analytics, and then focuses on the natural language processing techniques used by text analytics solutions.
Tags : 
spss, text analytics, data management, statistical analysis, natural language processing techniques, computational linguistics, web sites, blogs
    
SPSS

10 Really Good Reasons to use Predictive Analytics

Published By: SPSS, Inc.     Published Date: Mar 31, 2009
This whitepaper details how predictive analysis can help your business.  Predictive analytics help you make better, faster decisions, giving your organization a significant competitive advantage in the marketing sector.
Tags : 
spss, predictive analysis, roi, data, data driven decision making, mitigate risk, fraud, real time intelligence
    
SPSS, Inc.

Empower Your Consumer Research Department with Predictive Analysis

Published By: SPSS, Inc.     Published Date: Mar 31, 2009
In an intensely competitive marketplace, knowledge is power. The more an airline can learn about what its customers like and don't like about its offerings, the more effective it can be at building customer loyalty and maximizing its revenues.
Tags : 
spss, american airlines, customer loyalty, maximize revenues, roi, specialized market intelligence, production of information, increased productivity
    
SPSS, Inc.

Hard Hat Area: Myths and Pitfalls of Data Mining for Marketers

Published By: SPSS, Inc.     Published Date: Mar 31, 2009
The intrepid data miner runs many risks, including being buried under mountains of data or disappearing along with the "mysterious disappearing terabyte."  This article outlines some risks, debunks some myths, and attempts to provide some protective "hard hats" for data miners in the marketing sector.
Tags : 
spss, data mining, data miner, data management, business process, best practices, business intelligence, statistics
    
SPSS, Inc.

Mastering New Challenges in Text Analytics

Published By: SPSS, Inc.     Published Date: Mar 31, 2009
This paper briefly defines text analytics, describes various approaches to text analytics, and then focuses on the natural language processing techniques used by text analytics solutions.
Tags : 
spss, text analytics, data management, statistical analysis, natural language processing techniques, computational linguistics, web sites, blogs
    
SPSS, Inc.

Reduce Churn Through Enterprise Feedback Management and Predictive Analytics

Published By: SPSS, Inc.     Published Date: Mar 31, 2009
Read how Cabelcom recognized the key to tackling churn and was able to identify the point at which customers become dissatisfied with their service.
Tags : 
spss, cablecom, customer retention, crm, churn rate, reduce churn, predictive analytics, statistics
    
SPSS, Inc.

Who Are My Best Customers? Get Greater Value From Your Customer Database.

Published By: SPSS     Published Date: Jun 29, 2009
This paper will focus on how a company might identify its best customers, but the same process could be used for other customer segments.
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spss, customer management, consumer behavior, customer retention, crm, customer service, cost-effective strategies, customer database
    
SPSS

Inside BIGDATA Guide to Predictive Analytics

Published By: TIBCO Software     Published Date: May 31, 2018
Predictive analytics, sometimes called advanced analytics, is a term used to describe a range of analytical and statistical techniques to predict future actions or behaviors. In business, predictive analytics are used to make proactive decisions and determine actions, by using statistical models to discover patterns in historical and transactional data to uncover likely risks and opportunities. Predictive analytics incorporates a range of activities which we will explore in this paper, including data access, exploratory data analysis and visualization, developing assumptions and data models, applying predictive models, then estimating and/or predicting future outcomes.
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TIBCO Software

Inside BIGDATA Guide to Predictive Analytics

Published By: TIBCO Software     Published Date: May 31, 2018
Predictive analytics, sometimes called advanced analytics, is a term used to describe a range of analytical and statistical techniques to predict future actions or behaviors. In business, predictive analytics are used to make proactive decisions and determine actions, by using statistical models to discover patterns in historical and transactional data to uncover likely risks and opportunities. Predictive analytics incorporates a range of activities which we will explore in this paper, including data access, exploratory data analysis and visualization, developing assumptions and data models, applying predictive models, then estimating and/or predicting future outcomes. Download now to read on.
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TIBCO Software
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