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All Blog Posts Tagged 'data' (138)

10 use-cases for privacy-preserving synthetic data

10 use-cases for privacy-preserving synthetic data

Fast-evolving data protection laws are constantly reshaping the data landscape. The organizational ability to overcome sensitive data usage restrictions while safeguarding customer privacy will be a key driver of tomorrow’s successful businesses. This blog presents ten concrete applications for privacy-preserving synthetic…

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Added by Elise Devaux on August 5, 2020 at 6:59am — No Comments

Introduction to privacy-preserving synthetic data

This blog takes a closer look at the concept of privacy-preserving synthetic data. It answers the question “what is synthetic data” and looks at the origin of synthetic data in the context of data privacy. It also presents one way of generating privacy-preserving synthetic data and its benefits for organizations.…

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Added by Elise Devaux on July 2, 2020 at 11:30am — No Comments

PETs: the technologies organization should consider adopting

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Added by Elise Devaux on June 12, 2020 at 2:14am — No Comments

How “anonymous” is anonymous data?

This post discusses what actually makes data anonymous, share about the misconception we have of it and describe the problems it raises.

In the beginning, there was data…

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Added by Elise Devaux on May 23, 2020 at 1:00pm — No Comments

Why is Python a Top Choice of the data analytics?

Python is an extremely popular programming language. It is not just apt for generic purposes but it is extremely easy to read and use as well. The main reason why Python is used by a majority of people these days is the fact that it allows the programmers to save their time by using only limited lines of codes. In order to accomplish tasks, the developers do not have to spend a lot of time on coding, unlike the other languages. Rather, all they can do is, spend time on…

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Added by Divyesh Aegis on July 25, 2019 at 12:53am — No Comments

Finding insights with graph analytics

From detecting anomalies to understanding what are the key elements in a network, or highlighting communities, graph analytics reveal information that would otherwise remain hidden in your data. We will see how to integrate your graph analytics with Linkurious Enterprise to detect and investigate insights in your connected data.

What is graph analytics

Definition and…

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Added by Elise Devaux on October 4, 2018 at 9:30am — No Comments

Linear Models Don’t have to Fit Exactly for P-Values To Be Accurate, Right, and Useful

There is no need to get confused with multiple linear regression, generalized linear model or general linear methods. The general linear model or multivariate regression model is a statistical linear model and is written as Y = XB + U.





Usually, a linear model includes a number of different statistical models such as ANOVA, ANCOVA, MANOVA, MANCOVA, ordinary linear regression, t-test and F-test. The GLM is a generalization of multiple…

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Added by Chirag Shivalker on November 2, 2017 at 11:30pm — 1 Comment

Audience is The Future Business Model, Data Analytics Can Improves It

Companies and enterprises are facing a daily grind, while they are also required to see to it that their customers are happy & satisfied, operations is efficient and employees are satisfied; and all this makes running the business – a real challenge. “Audience is the new business model”, and if any organization is struggling miserably to communicate with customers or their audience, there certainly is a negative impact of it across the business plan,…

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Added by Chirag Shivalker on September 26, 2017 at 12:30pm — No Comments

Fighting eCommerce fraud with graph technology



ECommerce fraud is growing quickly, creating new challenges in terms of prevention and detection. As merchants gather more and more information about customers and their behaviors, the key element in the fight against fraud is now to draw on the connections within the data collected to uncover fraudulent behaviors. In this post we explain why and how graph technologies are crucial in the detection of eCommerce fraud.…

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Added by Elise Devaux on August 9, 2017 at 9:30am — No Comments

For Companies, Data Analytics is a Pain; But Why?

Businesses across the globe are facing the brunt, one of huge data influx and second of increasing data complexity and of course the market volatility. To address these challenges, companies and all their verticals are turning to data-driven analytics and insights as a means to better understand their organization’s customer bases and to grow their businesses; and manage the increasing uncertainty up to a certain extent. 

The shift from conventional…

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Added by Chirag Shivalker on June 22, 2017 at 1:30pm — No Comments

Descriptive, Predictive & Prescriptive Analytics will fail to Help You Understand Your Business

It has been a practice followed religiously by companies and organizations to analyze how they have performed over a period of time. It is mandatory for them to do so; just that some do it to survive and some do it to thrive in concurrent…

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Added by Chirag Shivalker on May 12, 2017 at 7:30am — No Comments

Tips for Reducing Fraud and Bolstering Customer Data Security

Many businesses, especially small businesses, underestimate the danger their company’s data is in. They have the idea that because they’re fairly small, no one would want to try to steal the customer information they collect. After all, why go after a few thousand customer records when you could attack a large corporation and potentially walk away with tens of…

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Added by Peter Davidson on April 17, 2017 at 6:00am — No Comments

10 Tools For Working With Big Data For Successful Analytics

Traditional computer systems and software applications don’t have what it takes to support big data. If you want to collect, store, refine, or analyze big data, you have to have the right tools. Check out the following ten tools that are specifically designed with big data in mind.

 1.    Hadoop

If you know, or are willing to…

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Added by Diana Beyer on November 17, 2016 at 8:30am — 1 Comment

Life is better when you're meeting new data people

One of my favorite things over the year was starting a personal blog. (You can find my website here if you are curious.) How did it happen? Well, I was reading an article and one quote in particular really struck me: "it's not what you know it's who you know"

That quote really resonates with me. Throughout my life I’ve learned a lot, and…

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Added by Olga on November 2, 2016 at 9:03pm — No Comments

Data Science is Cooking!

Most people think data science is smart people doing very smart stuff. Well that’s not it. Data science is just another subject involving its own bit of subtle complexities that has to be handled with knowledge and an innovative approach. JUST LIKE COOKING.

data-science-is-cooking

Getting the Data

Cooking is art and science. So is Analytics. Both start from getting the right ingredients. No matter how many spices and cooking techniques you apply, the dish won’t…

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Added by Vivek Kalyanarangan on November 1, 2016 at 10:00am — No Comments

Building an end-end search engine

"Information is the oil of the 21st century, and analytics is the combustion engine" Peter Sondergaard, SVP, Gartner Research

In analytics, we retrieve information from various data sources; it can be structured or unstructured. The biggest challenge here is to retrieve information from unstructured data mainly texts. Here machine learning comes into the picture to overcome this challenge. Different algorithms have been designed in different platforms…

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Added by Vivek Kalyanarangan on September 9, 2016 at 8:30am — No Comments

Getting R to work with your Salesforce.com CRM data

R is widely used among scientists and statisticians to perform statistical analysis while Salesforce.com is one of the leading CRM software packages used for Marketing and Salesforce automation. Salesforce.com contains vital information regarding Leads, Customers, Contacts, Opportunities and Cases. Currently this data is mainly used for operational purposes by Sales and Marketing professionals. 

 

How about using Salesforce CRM data for predictive analysis or…

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Added by Pradip Banerjee on August 3, 2016 at 8:00pm — No Comments

Making data science accessible – HDFS

By Dan Kellett, Director of Data Science, Capital One UK

 

Disclaimer: This is my attempt to explain some of the ‘Big Data’ concepts using basic analogies. There are inevitably nuances my analogy misses.

 

What is HDFS?

When people talk about ‘Hadoop’ they are usually referring to either the efficient storing or processing of large amounts of data. MapReduce is a framework for efficient processing using a parallel, distributed algorithm…

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Added by Dan Kellett on July 21, 2016 at 2:00am — No Comments

Analytics in Telecom

Telecommunications is complex business. As users we are mostly faced with one question- how to get the best deal out of the many telecom players in the market? But as an analyst in a Telecom company one may be faced with any one or more of the following question -

  • How many Network Towers should be installed in a particular area to meet the rising demand given the rise in population, rising need of data connectivity and competition?
  • What should be the optimum call rate…
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Added by Ivy Pro School on July 15, 2016 at 3:00am — No Comments

Hadoop Security Issues and Best Practices

The big data blast has given rise to a host of information technology software and tools…

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Added by marry tho on June 17, 2016 at 6:00am — No Comments

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