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Beth Goode , director of Competitive Intelligence and Price-To-Win with SOS International (SOSi), recently spoke with ArchIntel regarding how to find talent and construct a Competitive Intelligence team within a company, as well as how to gather and synthesize data to provide actionable insights to decision makers and stakeholders.
It’s a two-way channel of communication that works best for us, where we can present our ideas, look at the competitivelandscape and then take additional direction from our team based on specific targeted opportunities to really understand the competitive solution and bid posture for a particular opportunity. .
Competitive intelligence analysis helps businesses maintain or gain a strategic market advantage. LinkedIn, with its network of over 750 million users worldwide, is an indispensable competitive intelligence tool, and no competitive intelligence research is complete without it.
Harnessing the Power of Media Monitoring for Competitor Analysis In the competitivelandscape, tracking competitors is crucial. Promoting Continuous Improvement Integrated management software combines media monitoring and quality management functionalities, streamlining data analysis and decision-making. Absolutely.
Marketing campaign intelligence teams tend to be fairly lean, so you have to stay on point and be strategic about your competitive intelligence activities. You can produce immense amounts of analysis, but if we don’t understand the end goal, there will not be value in those reports. Bias checks truly come down to education.
This article explains the Karl Pearson Correlation method of analysis, and how it can be applied in business. In order to better understand the application of the Karl Pearson Correlation technique, let’s look at a sample analysis showing a positive correlation among data points.
External — This data is more complex and includes personal information ( age, gender, education, income ), attitudinal information ( what your customers think of your brand ), and geographic information ( urban vs. rural data ). Identify Your Main Competitors You need to narrow down your competitivelandscape.
Harnessing the Power of Media Monitoring for Competitor Analysis In the competitivelandscape, tracking competitors is crucial. Promoting Continuous Improvement Integrated management software combines media monitoring and quality management functionalities, streamlining data analysis and decision-making. Absolutely.
This article presents a brief explanation of Outliers, and how this type of analysis is used. What is Outlier Analysis? How Can Outlier Detection Improve Business Analysis? When considering the use of Outlier analysis, a business should first think about why they want to find the outliers and what they will do with that data.
In this article, we will discuss the Decision Tree analysis method. What is Decision Tree Analysis? There are two basic types of decision tree analysis: Classification and Regression. Let’s take a closer look at an example of classification tree analysis. Use Case – 1. About Smarten.
This technique is helpful in finding a relationship between any demographic characteristic of consumers or research respondents for education, location, gender etc. How Can the Chi Square Test of Association Be Used for Business Analysis? Original Post: What is the Chi Square Test of Association and How Can it be Used for Analysis?
This article looks at the ARIMAX Forecasting method of analysis and how it can be used for business analysis. For more information about data trend and pattern analysis techniques, read our article entitled, ‘ What Are Data Trends and Patterns, and How Do They Impact Business Decisions?’ What is ARIMAX Forecasting?
For more information about data trend and pattern analysis techniques, read our article entitled, ‘ What Are Data Trends and Patterns, and How Do They Impact Business Decisions?’ Let’s look at an example of a monthly analysis of monthly index values. How Can the ARIMA Forecasting Method Be Used for Enterprise Analysis?
What is SVM Classification Analysis? SVM Classification Analysis can be used for many analytical tasks: Credit/Loan Approval Analysis – Given a list of client transactional attributes, a business can predict whether a client will default on a loan. How Can SVM Classification Analysis Benefit Business Analytics?
What is Multiple Linear Regression Analysis? To better understand multiple linear regression, let’s look at one such analysis of independent variables: Temperature and Humidity, and a target variable (yield). How Can Multiple Linear Regression Be Helpful for Business Analysis? Use Case – 1.
In this article, we will discuss the Binary Logistic Regression Classification method of analysis, and how it can be used in business. Let’s look at an example of Binary Logistic Regression analysis, involving the potential for loan default, based on factors like age, marital status and income. But the p value for Age is >0.05
In this article, we will discuss the KNN Classification method of analysis. KNN Classification analysis can be useful in evaluating many types of data. Credit/Loan Approval Analysis – Given a list of client transactional attributes, the business can predict whether a client will default on a bank loan.
When you rely solely on subjective analysis, you run the risk of making reactive or shortsighted decisions. This process of education and insight will help your sales team understand who they’re selling to and which messages will resonate most. We recommend approaching your international sales strategy like an investment.
This analysis reveals the following: Age – Multinomial logit (Natural log of the proportion of High Satisfaction to that of Medium satisfaction) estimate for 1 year increase in age for high job satisfaction relative to medium job satisfaction when other independent variables are held constant = 1.54.
First, we will want to understand the terminology used in this type of analysis. How Does Frequent Pattern Mining Support Business Analysis? This method of analysis can be useful in evaluating data for various business functions and industries. Let’s look at an example of Frequent Pattern Mining. Use Case – 1.
This article discusses the Paired Sample T Test method of hypothesis testing and analysis. When this process is applied to patients B, C, and D, the results of the analysis for “Before” and “After” can be paired by patient to determine the effects and success rate of these treatments. Use Case – 1.
Basket data analysis – To analyze the association of purchased items in a single basket or single purchase. Business Problem: A retail store manager wants to conduct Market Basket analysis to come up with better strategy of products placement and product bundling. This technique can used to analyze numerous types of datasets.
For example, one might use this method of analysis to determine whether the average value of a sedan type of car is significantly different from an SUV type of car. To better understand the benefits of the Independent Sample T Test Analysis, let’s look at two use cases: Use Case – 1.
This article describes the Spearman’s Rank Correlation and how it is used for enterprise analysis. How is Spearman’s Rank Correlation Useful for Business Analysis? Business Problem: An educational organization wants to assess students’ rating, based on two different sources of observation. Use Case – 1.
Innovation is born of raw consumer insight combined with keen market understanding, and it hinges on real-time AI-driven analysis that offers analyses that one is comfortable betting the business on. This data can be from online journals or research papers, think tanks, government statistics, educational papers or newspapers.
This article will focus on the Naïve Bayes Classification method of analysis. How Can Naïve Bayes Be Used for Enterprise Analysis? Fraud Analysis – Based on various bills submitted by an employee for reimbursement for expenditures on food, travel, etc., What is Naïve Bayes Classification?
Competitive market analysis helps you make informed decisions about anything from marketing to hiring. The same goes for finding your way in your competitivelandscape. Here we’ll talk about approaching competitiveanalysis a little differently, by using competition mapping.
Competitive market analysis helps you make informed decisions about anything from marketing to hiring. The same goes for finding your way in your competitivelandscape. Here we’ll talk about approaching competitiveanalysis a little differently, by using competition mapping.
Netbase Quid provides the essentials of marketing analytics tools, such as: Competitor analysis. Here is an example for Skincare: A competitor analysis is fundamental to the benchmarking process, and Rival IQ can provide solid social stats on both your brand and the competition. Level of education. Sentiment monitoring.
This article discusses the analytical technique known as Sampling and provides a brief explanation of two types of sampling analysis, and how each of these methods is applied. What is Sampling Analysis? There are two types of sampling analysis: Simple Random Sampling and Stratified Random Sampling.
This article describes the Simple Linear Regression method of analysis. Here is a sample of simple linear regression analysis, considering the effects of temperature on crop yield: Simple linear regression is limited to predicting numeric output i.e., dependent variable has to be numeric in nature. What is Simple Linear Regression?
Let’s look at the various methods of trend and pattern analysis in more detail so we can better understand the various techniques. In this analysis, the line is curved line to show data values rising or falling initially, and then showing a point where the trend (increase or decrease) stops rising or falling. Linear Trend.
This type of analysis can be applied to segment customers by purchase history, segment users by the types of activities they perform on websites or applications, to develop consumer profiles based on activities or interests, and to recognize market segments, etc. How Does and Organization Use Hierarchical Clustering to Analyze Data?
Ideally, your competitor monitoring tool should do most of the heavy lifting so your teams can focus on strategic analysis, planning, and decision-making that drives your business forward. It also lacks advanced search capabilities, such as keyword and synonym recognition, thematic search, and sentiment analysis.
Business Problem: Discount Analysis and Customer Retention will help the organization to target discounts to specific customers and the business will need to visualize ‘segments of sales group based on discount behavior’ and ‘customer churn to identify segments of customers on the verge of leaving’. Use Case – 2.
Even if we knew nothing about the context and COVID-19, we could tell from just a few minutes of analysis that something serious is going on here. (1b) Here's a graph of MozCast data from my analysis of the January 2020 Core Update. This really does seem to be an unusual situation. 1b) Did your rankings drop?
And while these products are still largely seen as novel entertainment for consumer use, they also have a multitude of applications in the workplace and educational sphere. For example, spatial computing can provide immersive and realistic training scenarios where learners can practice and master various skills and tasks, with zero risk (i.e.
In this article, we dive into a specific area of competitiveanalysis: product categories. Analysing the competition of a product category. You might wonder why you would only analyse the competition of one product category, especially if your business offers a wide range of products. What is product category analysis?
Educating the marketing community about SEO is one of our core values here at Moz. For any agency, where time is literally money, driving down the cost of link analysis with Moz tools can be a big windfall. Posted by BrianChilds “Does Moz offer a certification?”. Create Efficient Reporting Strategies.
Special coverage on the Russia – Ukraine war; global inflation; recovery analysis from COVID-19; supply chain disruptions, global trade tensions; and risk of recession Global competitiveness and key competitor positions Market presence across multiple geographical footprints – Strong/Active/Niche/Trivial – buy the report!
With the help of an online data analysis tool , this targeting can be built up significantly. With more than 500 million tweets sent each day, and 24% of total users being urban, educated, higher-income adults, Twitter holds the possibility to interact with the right demographics, at the right moment.
The ElegantJ BI Business Intelligence suite was listed as a Niche BI and Analytics Vendor in the August 2016, Gartner CompetitiveLandscape: BI Platforms and Analytics Software, Asia/Pacific Report., This exciting educational environment will inspire vendors, customers and partners to look to the future of Business Intelligence.”
For more information about data trend and pattern analysis techniques, read our article entitled, ‘ What Are Data Trends and Patterns, and How Do They Impact Business Decisions?’ How Can Holt-Winters Forecasting Be Used for Enterprise Analysis? Double Exponential Smoothing – for forecasting data where trends exist.
How Does One Choose the Right Descriptive Statistics Algorithm for Enterprise Analysis? All of these tools are designed for business users with average skills and require no special skills or knowledge of statistical analysis or support from IT or data scientists. 1) Mean/Median.
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