With only a few more weeks until summertime officially comes to a close, marketers need to quickly begin planning for one of their busiest times of the year. The holidays. New research from Experian Marketing Services pinpoints five strategies that brands should consider incorporating into their holiday campaigns to boost performance. According to the Q2 2016 Email Benchmark Report, marketers need to consider the quality of subscriber data obtained during acquisition, social media, creative content, email personalization and a retention strategy. For a complimentary download of the report, click here. To view the full press release, visit https://www.experianplc.com/media/news/2016/q2-2016-email-benchmark-report/
This feature article from the Harvard Business Review discusses how Experian is as nimble as a start-up. According to the article, most companies try to avoid problems. “Experian actually goes looking for them. In fact, it has set up a specific unit – Experian DataLabs — to actively seek out unresolved problems its customers are having and use them as a launchpad to seek out new opportunities and create new products.”
The following article originally appeared in the Career Advancement Management Report, Volume 38: Companies are collecting mountains of digital information that they are using to create more effective marketing campaigns, improve manufacturing and order fulfillment departments, develop products, improve quality control and assurance, and otherwise better operate their businesses and serve their customers. This information ranges from in-house data and reports, to customer tweets and blog postings, to customer activity at Web sites. Data scientists assess the information, and then explain to company executives how it can be used to make better business decisions, reach more customers, or provide better services. The Wall Street Journal reports that "top data scientists can command multiple job offers with salaries well into the six figures and sometimes even seven figures." Eric Haller is the Executive Vice President of ExperianDataLabs. Experian helps businesses manage credit risk, prevent fraud, target marketing offers, and automate decision making. It also helps people to check their credit report and credit score and protect against identity theft. In 2015, Experian was named by Forbes as one of the “World’s Most Innovative Companies.” Haller discussed the fast-growing career of data scientist with the editors of the CAM Report. Q. How did the career of data scientist develop? A. The role of the data scientist emerged as a result of the vast amount of data companies are acquiring. The problem: most of this data is jumbled, indistinct information. How, then, can a company use this for its own benefit? It was obvious there needed to be someone companies could rely on to take this data, build connections and correlations, and assemble insights useful for the growth of the company.The result: the rise of data scientists. Q.What makes the career of data scientist such a hot profession? What will aspiring data scientists find fun or interesting about this career? A. Individuals in this profession are innate explorers.They are always reinventing the wheel; coming up with new approaches to old challenges; finding solutions to vexing problems. And they do so by listening to hard data. Couple this with their analytical background and one can see what makes data scientists so attractive to the business world. Data scientists are the wizards making seemingly unattainable ideas and goals a possibility for companies—companies that need risk assessments; companies that strive to better optimize their marketing towards key consumers; companies that could use improvements to their digital consumer user experience. The realm of possibilities is seemingly endless for data science. Take for example these ongoing ventures. At the world-renowned Johns Hopkins Hospital in Baltimore physicians are perfecting cancer treatments using successful plans of past patients. In Kansas City researchers are maximizing the productivity of area lands by studying detailed soil data. And in Indiana the state government is analyzing population data to prioritize funding for the most effective programs, including those that reduce infant mortality rates. Across the nation examples like these abound. The common thread? Big data—or the accumulation of data too large and complex for processing by traditional database management tools. In each instance, data scientists are helping to solve some of our most vexing public, societal, and corporate problems. Every day, from every corner of the world, Experian is working to attract this talent and utilize them to help a host of companies, from financial institutions to healthcare organizations, make strategic decisions towards sustainable growth. No matter the project or task, data scientists are constantly examining problems and discovering solutions that are good for businesses, consumers, and society. Q.What are the key traits of successful data scientists? A. Perhaps the most important skill necessary to succeed as a data scientist is effective communication and advocacy for a position. Data science is a brainy, technical field. While scientists working in the field understand the complexity of the information they study, it is highly unlikely that their client does. Data scientists must therefore be able to think and communicate like business people—to bring the conversation down to a level anyone can understand. It is the only way they are able to successfully deliver and implement their findings. Q.What’s the best way to prepare for this career? A. Take a free online class – Free online courses from top universities or top subject-matter experts are available via sites such as Coursera, Udacity, and edX. Practice – You can download a public dataset from Kaggle,which hosts open data science competitions. (Competitors are given a data analysis problem to solve and there are cash prizes for winners.) Join a LinkedIn group – Join groups associated with data science on topics such as big data, analytics, machine learning, and data management. Get to know working data scientists – Use these groups and educational opportunities to look for opportunities to network with people working in data science, either in person or remotely if you aren’t in the same location. Q.What's the future employment outlook for data scientists? A. The need for data scientists will only continue to grow in the future. A report came out a couple years ago that estimated by 2020 the amount of data globally will grow ten-fold from today. That’s a tremendous amount of data. Raw data. Untapped potential. This alone puts the importance of data science as a profession into perspective. Data scientists are the pioneers going “where no man has gone before” for the good of our future.
Today, we stand at the forefront of a digital revolution that is reshaping the financial services industry. And, against this backdrop, financial institutions are at vastly different levels of maturity; the world’s biggest banks are managing large-scale infrastructure migrations and making significant investments in AI while regional banks and credit unions are putting plans in place for modernization strategies, and fintechs are purpose-built and cloud native. To explore this more, I recently had the privilege of attending the annual Reuters NEXT live event in New York City. The event gathers globally recognized leaders across business, finance, technology, and government to tackle some of today’s most pressing issues. On the World Stage, I joined Del Irani, a talented anchor and broadcast journalist, to discuss the future of lending and the pivotal role of data and AI in building a more inclusive financial system. Improving financial access Our discussion highlighted the lack of access to traditional financial systems, and the impact it has on nearly 100 million people in North America alone. Globally, the problem affects over one billion people. These people, who are credit invisible, unscoreable, or have subprime credit scores, are unable to secure everyday financial products that many of us take for granted. What many don’t realize is, this is not a fringe subset of the population. Most of us, myself included, know someone who has faced the challenges of financial exclusion. Everyday Americans, including young people who are just starting out, new immigrants and people from diverse communities, often lack access to mainstream financial products. We discussed how traditional lending has a limited view of a consumer. Like looking through a keyhole, the lender’s understanding of the person in view is often incomplete and obstructed. However, with expanded data, technology, and advanced analytics, there is an opportunity to better understand the whole person, and as a result have a more inclusive financial system. At Experian, we have a unique ability to connect the power of traditional credit with alternative data, bringing a more holistic understanding of consumers and their behaviors. We are dedicated to leveraging our rich history in data and our expertise in technology to create the future of credit and ultimately bring financial power to everyone. The future of lending After spending two days with over 700 industry leaders from around the world, one thing is abundantly clear: much like the early days of the internet, today, we are at the cutting-edge of a technical revolution. Reflecting on my time at Reuters NEXT, I am particularly excited by the collective commitment to drive innovative, and smarter ways of working. We are only beginning to scratch the surface of how data and technology can transform financial services, and Experian is positioned to play a significant role. As we look to the future, I am excited about the ways we will create new opportunities for businesses and consumers alike.
The advertising ecosystem has seen significant transformation over the past few years, with increased privacy regulation, changes in available signals, and the rise of channels like connected TV and retail media. These changes are impacting the way that consumers interact with brands and how brands understand and continue to deliver relevant messages to consumers with precision. Experian has been helping marketers navigate these changes, and as a result, our marketing data and identity solutions underpin much of today’s advertising industry. We’re committed to empowering marketers and agencies to understand and reach their target audiences, across all channels. Today, we are excited to announce our acquisition of Audigent—a leading data and activation platform in the advertising industry. With Audigent’s combination of first-party publisher data, inventory and deep supply-side distribution relationships, publishers, big and small, can empower marketers to better understand their customers, expand the reach of their target audiences and activate those audiences across the most impactful inventory. I am excited to bring together Audigent’s supply-side network as a natural extension to our existing demand-side capabilities. Audigent’s ability to combine inventory with targeted audiences using first-party, third-party and contextual signals provides the best of all worlds, allowing marketers to deliver campaigns centered on consumer choices, preferences, and behaviors. The addition of Audigent further strengthens our strategy to be the premier independent provider of marketing data and identity, ultimately creating more relevant experiences for consumers. To learn more about Experian and Audigent, visit https://www.experian.com/marketing/ and https://audigent.com/.
When it comes to cybercriminals and threat vectors, we need to expect the unexpected. Experian’s 12th annual Data Breach Industry Forecast highlights several potential trends for 2025, with AI playing a central role. This year has already seen more data breaches and impacted consumers than 2023, indicating that global data breaches are not slowing down. Some things to watch out for next year includes the potential for more internal fraud. As companies train employees on AI, there is a growing risk that some will misuse their knowledge for internal theft and sourcing sensitive information. Another trend may be cyberattackers targeting large data centers, with the growth of generative AI introducing power as a new attack vector. It’s reported that a single ChatGPT query uses significantly more electricity than a standard Google search, making data centers and cloud infrastructure vulnerable, especially in countries with varying security standards. We expect AI-related attacks to dominate the headlines next year and investments in cybersecurity will increase to tackle this emerging threat, as hackers leverage AI for phishing, password cracking, malware, and deepfakes. Jim Steven, Head of Crisis and Data Response Services at Experian Global Data Breach Resolution in the UK, anticipates that global data breaches will persist at their current rate next year. He notes that ransomware attacks are likely to become even more sophisticated with the integration of AI. Additionally, Steven predicts that threat actors will escalate their tactics to achieve greater rewards, and the misuse of consumer data to damage reputations will increase in 2025. To access the complimentary report, click here.