Have you ever got confused by reading those large data tables? Don’t worry, that happens with everyone (including me)! With around 2.5 quintillion data being generated each day including Text Messages, Emails, Videos, Images, etc. it becomes difficult to analyze all these data and find insights from those data. FYI, The cardinal number of quintillion is 1018
Why you need a secret phone number (and how to get one)
Privacy Please is an ongoing series exploring the ways privacy is violated in the modern world, and what can be done about it. Your phone number was never meant to be an all-access pass to your life. That 10-digit string has likely followed you around the world and across the internet for years. Over the course of that time, you've almost certainly handed it out — willingly or otherwise — to every person, restaurant, social media platform, or online store that's asked. That's a problem. For someone with the right motivation, that number is a thread which, once pulled, can unravel your entire digital life — crashing down your privacy, bank account, or even your very identity.
10 Top Digital Marketing Trends to Watch Through 2021
The future trends you were using to guide your digital marketing strategy previously may now be outdated. Learn what new trends matter today. The post 10 Top Digital Marketing Trends to Watch Through 2021 appeared first on Search Engine Journal.
Legacy Companies Need to Become More Data Driven — Fast
The ability to deploy data as a competitive business asset is what has distinguished a set of well-established, data-rich companies who have reigned as market leaders over the course of the past several decades. However, business conditions evolve, and today, these companies face a new set of challenges that threaten their hard-won leadership positions. How do these well-established data leaders transform from excellence in traditional data and analytics — of the kind that they have deployed in recent decades — to leadership in a new era of Big Data, AI, and machine learning driven decision-making? What do companies that have excelled at disciplines like database marketing, CRM, one-to-one marketing, and advanced analytics need to do to continue to stay on top?
How to Create a Winning Content Strategy by Combining GA4 with a BI Tool
Learn how consolidating your marketing data in one place can empower you to create a successful data-driven content strategy. The post How to Create a Winning Content Strategy by Combining GA4 with a BI Tool appeared first on Search Engine Journal.
Welcome to the Fastest Backlink Discovery Tool Ever
It’s 2021, you need your digital marketing to move fast. To compete, you’ll need the fastest backlink analytics tools and the freshest database on the market to match with full reporting capabilities. To help you find, report and manage backlinks, Semrush is launching the fastest backlink analytics checker in the market. It's not just rebuilt, it's completely new! Welcome to the future of dynamic backlink management.
15 Mistakes You’re Making in Client Reporting Meetings
No matter who you are and what industry you work in — everyone makes mistakes. Whether you use the wrong date range in an Out ... The post 15 Mistakes You’re Making in Client Reporting Meetings appeared first on Databox.
How to Configure Google Analytics for Local Businesses
Google Analytics is a powerful tool for businesses of all sizes. When used properly, it generates important information that can help to make valuable business decisions in online marketing or SEO efforts. In this week’s Whiteboard Friday, guest host Alex Ratynski goes through five important steps that local businesses can take to configure Google Analytics efficiently.
The 100% Free Tech SEO (+ Beyond) Site Audit Checklist
Learn the tools and tactics you'll need to pinpoint technical issues on your site and turn them into wins for your users and your rankings with this free technical SEO checklist from Moz.
Must Known Data Visualization Techniques for Data Science
In applied Statistics and Machine Learning, Data Visualization is one of the most important skills. Data visualization provides an important suite of tools for identifying a qualitative understanding. This can be helpful when we try to explore the dataset and extract some information to know about a dataset and can help with identifying patterns, corrupt data, outliers, and much more. If we have a little domain knowledge, then data visualizations can be used to express and identify key relationships in plots and charts that are more helpful to yourself and stakeholders than measures of association or significance. In this article, we will be discussing some of the basic charts or plots that you can use to better understand and visualize your data.
Microsoft’s Kate Crawford: ‘AI is neither artificial nor intelligent’
Kate Crawford studies the social and political implications of artificial intelligence. She is a research professor of communication and science and technology studies at the University of Southern California and a senior principal researcher at Microsoft Research. Her new book, Atlas of AI, looks at what it takes to make AI and what’s at stake as it reshapes our world. You’ve written a book critical of AI but you work for a company that is among the leaders in its deployment. How do you square that circle?
A Map of the Online World in Incredible Detail
The internet is intangible, and because you can’t see it, it can be hard to comprehend its sheer vastness. As well, it’s difficult to gauge the relative size of different web properties. However, this map of the internet by Halcyon Maps offers a unique solution to these problems. Inspired by the look and design of historical maps, this graphic provides a snapshot of the current state of the World Wide Web, as of April 2021. Let’s take a closer look!
Inside IKEA’s Digital Transformation
What does it mean for one of the world’s most recognizable retail brands to go digital? For almost 80 years, IKEA has been in the very analogue business of selling its distinct brand of home goods to people. Three years ago, IKEA Retail (Ingka Group) hired Barbara Martin Coppola — a veteran of Google, Samsung, and Texas Instruments — to guide the company through a digital transformation and help it enter the next era of its history. HBR spoke with Martin Coppola about the particular challenge of transformation at a legacy company, how to sustain your culture when you’re changing almost everything, and how her 20 years in the tech industry prepared her for this task.
Your medical records are about to be given away. As GPs, we’re fighting back
GPs in England have been told to hand over all patient data to NHS Digital – potentially to be exploited for corporate profit. GP practices in England have been instructed to hand over their patients’ entire medical histories with just six weeks’ notice. Like many GPs, I’m very concerned about the implications this has for my patients. A growing number of us in London have taken taken the decision to pull the plug on the new data-sharing programme with NHS Digital and refuse to hand over patient records.
BigQuery vs Snowflake: A Comparison of Data Warehouse Giants
It's essential to understand data warehousing depending on your requirements and business. Many organizations struggle in selecting the data warehouse that suits them. Hence, people are opting for the BigQuery/Snowflake course to understand data warehousing. Here, we are going to compare the two topmost data warehouses: BigQuery and Snowflake.
Data Science and Cloud: A Perfect Match for your Data Analytics needs
The number of devices connected through the Internet of Things (IoT) is increasing rapidly. Statista estimates that there will be about 50 million IoT-connected devices in use across the world by 2030. And these interconnected devices and enterprise systems will generate vast amounts of data. And, most of this data will be stored and analyzed on the cloud.The number of devices connected through the Internet of Things (IoT) is increasing rapidly. Statista estimates that there will be about 50 million IoT-connected devices in use across the world by 2030. And these interconnected devices and enterprise systems will generate vast amounts of data. And, most of this data will be stored and analyzed on the cloud.
Funnel analysis: How to find and fix conversion problems
Whether you’re trying to measure how effectively you’re acquiring users or trying to make sense of in-product user journeys, funnel analysis is a cornerstone of understanding campaign performance and product health. But before we get ahead of ourselves, let’s take a look at what funnel analysis even is and how Mixpanel can help you make the most of it.
Why Optimization Is Important in Machine Learning
Machine learning involves using an algorithm to learn and generalize from historical data in order to make predictions on new data. This problem can be described as approximating a function that maps examples of inputs to examples of outputs. Approximating a function can be solved by framing the problem as function optimization. This is where a machine learning algorithm defines a parameterized mapping function (e.g. a weighted sum of inputs) and an optimization algorithm is used to fund the values of the parameters (e.g. model coefficients) that minimize the error of the function when used to map inputs to outputs.
Data Science From Scratch
Introduction Master Python or R Essentials NowPractice 5–10 Machine Learning Algorithms Explain Modeling to a Non-Data Scientist While there may be a few approaches out there to data science from scratch, I wanted to give my take on it, with the thought of what I would do differently in mind if I were to start over. In my case, I started from scratch, majoring in a field that was not data science, to begin with for my undergraduate degree.
Python’s Parts of Speech: Basic components of Python
A thorough understanding of the basic components of programming language is vital in the development of any code. This article outlines all the fundamental concepts of the Python language. Just like how parts of speech form a basic building block of the English language, the following components form Python’s parts of speech.