Big data

Big data (22)

Data: Integral Part of the Marketing Industry

“Let's work together to identify the ways we'll measure the effectiveness of my work,” Julie Igorevna, founder and digital superhero of Kur8 tells her new clients. Igorevna runs a digital marketing and PR boutique agency that enables tech start-ups to get their story heard. “We strive to help our clients find their creative voice through a variety of services.” So much of today’s marketing industry is driven by statistics that it practically goes hand and hand. Upon opening her agency, Igorevna knew she wanted to incorporate data in her business model to ensure that she could contribute to her clients’ success. “Our data shows that for every $1 spent on email marketing; $44 is made in return.”

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The Dangers of Data Without Leadership

Data can help a company create competitive advantages, enhance customer service, improve marketing efforts, and develop efficiencies within the company. Data can also be misused, mishandled and cause expensive and sometimes irrevocable mistakes. As with anything powerful, data can be dangerous if not understood and integrated effectively…and this must start at the top. Executives are embracing the data explosion that’s growing exponentially from industries such as platform data solutions, serverless computing data management, machine learning, IoT, and numerous other fields. Dun & Bradstreet found recently that 63% of business leaders saying that data has helped them mitigate risks.

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Over 106 million customers affected by Capital One's Data Breach

Paige Thompson was indicted on July 29, 2019 for allegedly stealing data from Capital One Financial Corp. Thompson is charged with gaining access to over one million credit card applications due to a misfiguration within the bank’s firewall settings that Thompson was able to infiltrate. The alleged theft took place on March 23rd of this year when Thompson used a Tor browser to hide her identity and hack into the bank’s files. She was able to not only steal credit card applications but over 140 thousand social security numbers, 80 thousand bank account numbers, and approximately one million Canadian Social Insurance Numbers dating back from 2015.

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Careers in Analytics: How to Succeed as a Performance Analyst

Companies are investing in data capabilities within their organization as well as employees with data skills. Whether it is the ability to code, analyze reports, or visualizing data -having data experience has never been more important in the job market.

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Don't make any of these mistakes with your big data

Going by what we keep hearing about big data, professionals and evangelists of this technology make it feel simple as if businesses can just take off as soon as they implement it. However, the truth is actually the opposite. Big data may not show results as soon as you implement it. Rather, it demands patience since it may take some time and perseverance for the data to be collected and used in what the initial intention was. It takes time to separate the useful information from data, prioritize, visualize and extract insights needed to make business decisions.

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Project Libra: Facebook's Play at Cryptocurrency

Bitcoin, Litecoin, Ethereum…and Facebook? With Bitcoin up to nearly $11,000 a share at the time of publishing; cryptocurrencies have taken mainstream media by storm. Wanting a piece of the proverbial pie, Facebook has never been one to sit by as other businesses make millions.  The Social Media giant recently announced that they were throwing their hat in the ring by announcing Project Libra, their take on cryptocurrencies.

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Women in Big Data - Are Hiring Practices Changing?

Women make up only 16% of the population of data scientists and machine learners, according to online community kaggle. While there are no statistics to confirm, trends from other industries would indicate the percentage for women of color in the data field is exponentially lower. I had the chance to speak to Sadie St. Lawrence, the CEO and founder of Women in Data to discuss women’s role in data and where she sees data going in the future.

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The Use of Big Data in The Insurance Industry

The emergence of big data, artificial intelligence and analytics has led to a massive transformation in the financial services sector; the insurance industry included. As these new technologies continue gaining acceptance in different sectors, established insurance firms have not been left behind as they continue investing in digitization of their processes and products. Accordingly, the number of InsurTech companies has been increasing over time as new companies make their way into this sector.

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What Walmart's Intelligent Retail Lab Means for the Future of Data

I recently wrote an article about Walmart’s new Intelligent Retail Lab (IRL) from a supply chain perspective. Walmart’s IRL, is a new AI powered store that uses technology and data to monitor every day tasks from re-stocking shelves, notifying employees when a new cash register needs to be opened; and insuring that there are always enough carts available for customers.

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Why More Jobs than Ever Require Data Skills

Glassdoor recently published their “Best Jobs in America” for 2019 and it was no surprise that data scientists topped the list for the fourth year in a row. Almost every industry utilizes data in some form to build a more efficient business model, and that trend does not seem to be slowing down.

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