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5 Super SEO Blogger Tools

In this post, I have explained top blogging tools that need to be considered by every blogger. These tools help you write better SEO friendly blog posts.



1). Headline Analyzer The best tool is the EMV Headline Analyzer. When you enter the headline it analyzes it and gives you EMV ranking. When you get '50' and above it performs better SEO.

2). Headline Length Checker The usual headline length is 50 to 60 characters. Beyond that, the headline will get truncated and looks ugly for search engine users. The tool SERP Snippet Optimization Tool useful to know how it appears in the search results.

3). Free Submission to Search Engines The tool Ping-O-Matic is a nice free submission tool. After your blog post, you can submit your feed to Ping-O-Matic. It submits to search engines freely.

4). Spell and Grammar Check Another free tool is Grammarly, this tool checks your spelling and grammar mistakes. So that you can avoid small mistakes.

5). Keyword AnalyzerWordstream Keyword analyzer i…

Chaid a Skillset for Data Science Engineers

Chaid a Skillset for Data Science Engineers
#Chaid a Skillset for Data Science Engineers:
Chaid is one of the Chaid is one of mostly asked skills for Data Science engineers.The CHAID Analysis (Chi Square Automatic Interaction Detection) is a form of analysis that determines how variables best combine to explain the outcome in a given dependent variable. The model can be used in cases of market penetration, predicting and interpreting responses or a multitude of other research problems.

CHAID analysis is especially useful for data expressing categorized values instead of continuous values. For this kind of data some common statistical tools such as regression are not applicable and CHAID analysis is a perfect tool to discover the relationship between variables. One of the outstanding advantages of CHAID analysis is that it can visualize the relationship between the target (dependent) variable and the related factors with a tree
image.

Different Scenarios where CHAID analysis can be used:

CHAID Analysis for Surveys -Most survey answers have categorized values instead of continuous values. Finding out the statistical relationship in this kind of data is a challenge. CHAID Analysis is a good solution for such survey studies.

Related: How to Make Career Change from Mainframe to Data Analyst

CHAID Analysis for Customer Profiling -Based on historical customer data, CHAID Analysis can be used to analyze all characteristics within the file, for example, product/service purchased, dollar amount spent, major demographics and demography of the customers, and so on.

A blue print can be produced to provide an understanding of the customer profile: strong or weak sales of products/services; active or in-active customers; factors affecting customers’ decisions or preferences, and so on. Such customer profile will give the Sales & Marketing Team a clear picture of which type of person is most likely to buy the products and services based on factual purchase history, geo-demographics and lifestyle attributes.

CHAID Analysis for Customer Targeting -Recruiting new customers via direct contact (phone or mail) is a time consuming and costly effort. For most products or services, the hit rate is less than 1%. That means, in order to get a new customer, over one hundred contacts are required.

By mapping the current customer list to a general population database (e.g., SMR Residential Database that contains 12 million listed households), CHAID Analysis can find the household clusters that have much higher incidence rates than the average. By concentrating on these household clusters, the actual hit rate can be dramatically raised. The result is “Fewer phone calls or mail pieces with higher sales returns!” .

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Tokenization story you need Vault based Vs Vault-less

The term tokenization refers to create a numeric or alphanumeric number in place of the original card number. It is difficult for hackers to get original card numbers.

Vault-Tokenization is a concept a Vault server create a new Token for each transaction when Customer uses Credit or Debit Card at Merchant outlets 
Let us see an example,  data analysis. Here, card numbers masked with other junk characters for security purpose.

Popular Tokenization ServersThere are two kinds of servers currently popular for implementing tokenization.
Vault-based Vault-less Video Presentation on Tokenization
Vault-based server The term vault based means both card number and token will be stored in a Table usually Teradata tables. During increasing volume of transactions, the handling of Table is a big challenge.
Every time during tokenization it stores a record for each card and its token. When you used a card multiple times, each time it generates multiple tokens. It is a fundamental concept.
So the challe…