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As I learn about data privacy, I’m starting to realize how large the ecosystem is. I focused here on a category that spans across the data privacy landscape, Privacy Enhancing Technologies (PETs). In the post, I cover:…
Added by Elise Devaux on June 12, 2020 at 2:14am — No Comments
By 2022, Gartner predicts that 90% of corporate strategies will explicitly mention information as a critical enterprise asset and analytics as an essential competency.
“Increasingly, leading and thriving organizations in every segment are wielding data and analytics as a competitive weapon, operational accelerant, and innovation catalyst,” notes analysts in …
Added by Tricia Morris on February 19, 2020 at 8:26am — No Comments
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…Continue
Added by Divyesh Aegis on July 25, 2019 at 12:53am — No Comments
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.
Added by Elise Devaux on October 4, 2018 at 9:30am — No Comments
Predictive analytics uses current and historical data in order to determine the probability of a particular outcome. This is a particularly powerful approach when it is applied to medical diagnosis. In an effort to reduce misdiagnosis, historical data of former patient’s symptoms may be applied to the assessment of a new patient.
While doctors are the ultimate experts and decision-makers, using predictive analytics as a means of establishing precedent for…Continue
Added by Goli Tajadod on May 22, 2018 at 2:30am — No Comments
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…
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,…Continue
Added by Chirag Shivalker on September 26, 2017 at 12:30pm — No Comments
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…Continue
Added by Chirag Shivalker on June 22, 2017 at 1:30pm — No Comments
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…Continue
Added by Chirag Shivalker on May 12, 2017 at 7:30am — No Comments
Depending on the business objectives, social media analytics can take four different forms, namely, descriptive analytics, diagnostic analytics, predictive analytics, and prescriptive analytics.
Social media data is the new gold and analytics is its digging tool. Social Media Analytics (SMA) is the art and science of extracting valuable hidden business insights from social media media data (Khan, 2015) . SMA turns the…Continue
Added by Dr. Gohar Khan on April 10, 2017 at 1:30pm — No Comments
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.
If you know, or are willing to…Continue
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…Continue
Added by Olga on November 2, 2016 at 9:03pm — No Comments
"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…Continue
Added by Vivek Kalyanarangan on September 9, 2016 at 8:30am — No Comments
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…
Added by Pradip Banerjee on August 3, 2016 at 8:00pm — No Comments
Customers... What do they like? What do they use? What kind of customers used my precious new feature? There are many reasons that any business should use customer events. Ultimately everything leads to two points: customer satisfaction and revenue.
When I first started playing with Google Analytics it was beautiful. A new world was in front of me. With only a quick setup I was able to see what's going on with my users. Many…Continue
Added by George Psistakis on May 11, 2016 at 3:00pm — No Comments
You’re working on the MAIN MODEL. The one that leverages half the company’s assets, and on which your paycheck and that of many others depends. You’ve already run through a stepwise, forward, and backward search of the variables, their interactions, and possible curvatures. What are the most productive things to do next?
Here are a couple of ideas…Continue
Added by David G. Young on April 27, 2016 at 8:07am — No Comments
When it comes to operating a successful business, customer service is often the key. The better service that a business can provide, the more success they can find. It is no longer enough to live by the idea that the customer is always right. It has become more…Continue
Added by Peter Davidson on April 26, 2016 at 1:04am — No Comments
Our work at Talent Analytics, Corp., focuses on using predictive analytics to decrease employee turnover or increase employee performance. We work with our customers to define the problem to solve, and then together identify useful data inputs to include in predictive model development.
How Valuable is Employee Engagement Data in Predictive Work?
We are often asked if many years worth of employee engagement data would be meaningful in our…Continue
Added by Greta Roberts on March 7, 2016 at 10:59am — No Comments
If you have BI Tools and you have business users who are expected to use these BI tools, you may be frustrated! Are your users struggling to understand a complex system, or are they restricted by dashboards created by IT to satisfy their needs? Is your data integration incomplete or inaccurate. Maybe you think you need business intelligence solution training for…Continue
Added by Snehal Rathwa on February 4, 2016 at 11:00pm — No Comments
Do self-serve BI tools support data governance, integral data security and organizational IT standards and policies? In some cases, the answer is 'no'. But, that shouldn't stop you from looking at self-serve BI tools. The question isn't whether the integrity of data governance can be preserved when using self-serve BI tools. The question is really, 'which vendor…Continue
Added by Kartik Patel on January 28, 2016 at 9:00pm — No Comments