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Friday, October 23, 2020

Archive for the 'Big Data' Category

Three Steps to Visualize Data With Google Data Studio

Google Data Studio enables you to turn your data into eye-catching visuals and easy-to-read reports. Using Data Studio you can gain better insights and improve marketing. Content Marketing Institute contributor Fatmir Hyseni has shared three steps to use Google Data Studio for visualizing your data. Hyseni says, “Whether you’re reaching executives reviewing analytics (82% of CMOs say they lack the experience to effectively do it) or you’re telling number-based stories to your website visitors, visualization can be a compelling and dynamic format. Data Studio also is user... [...]

Analyzing the Impact of Data on E-commerce in 2020

Data matters a lot in today’s business environment. The customer journey begins with the data submission and continues till they remain with your company. There are long lasting effects of data on your e-commerce performance. Practical Ecommerce contributor Anna Kayfitz has shared seven ways big data will impact e-commerce this year. Kayfitz says, “As ecommerce grows, so does the data that is stored. Only a fraction of that data is utilized, however. But that will likely change, as data scientists are getting better at merging, standardizing, and analyzing. All of this... [...]

Big Data: Big Opportunity or Big Headache? [Podcast]

Data has become the central element of today’s marketing strategies as it enables you to plan execute your marketing campaigns with accuracy. Big Data offers great opportunities—and huge dangers. How can you navigate toward the benefits while avoiding the hazards? In short, the key is management insight and discipline.Jonathan Byrnes, MIT MarketingProfs team has published a new podcast episode ‘Big Data: Big Opportunity or Big Headache?’ featuing Jonathan Byrnes. MarketingProfs team says, “This is the first in an occasional series of articles—actually, transcripts... [...]

Key advantages of Big Data and IoT in e-commerce

Big Data, Virtual Reality and Internet of Things (IoT) are becoming the change makers for the e-commerce brands. These technologies help them offer a personalized experience. ReadWrite’s Roberta Rottigni has shared major advantages of Big Data and IoT for the e-commerce brands and the users. Rottigni says, “A countless number of e-commerce platforms have taken advantage of the outstanding power of big data for products recommendations and other targeted marketing purposes. Seasonal personalization, for example, is another really powerful targeted marketing strategy. The idea behind... [...]

Use Big Data for Ad Targeting

Big data is a large sets of data that can be analysed computationally to reveal patterns, trends, and associations. Big data is becoming a vital part of today’s marketing industry. In a recent Entrepreneur article Andrew Medal has shared information on how big data can strengthen online advertising. The big data can be used to create targeted and personalized campaigns for targeting the right people with the right product. On how big data can be used in advertising, Medal says, “Advertising agencies are able to gather information about consumers’ motivations: Are customers motivated... [...]

‘Big data: the golden prospect of machine learning on business analytics’ – EConsultancy

Rose Barnett says, “The boom in the B2B big data market (from a sub-$100m industry in 2009 to $130bn today) mirrors an enterprise-led scramble to invest in data mining, reminiscent of the California gold rush, accompanied by a similar media buzz. Although much is still written about the near-magical potential of data analytics for business, this fervour is now giving way to a more serious debate on where the real business value can actually be found. It’s clear that data prospectors are diverging into two camps: the ‘haves’ and the ‘have-not-yets’. A recent KPMG survey showed... [...]

‘How 3 Businesses Use Big Data to Connect with Consumers’ – Business.com

Scott Sampson says, “As a marketer, it pays to have access to consumer data. The more you know about your target audience, the more personalized your marketing efforts can be. While physical billboard ads are strategically designed and placed to reach a local audience, it’s more challenging to pinpoint where and when a digital audience will consume your brand’s ads. The solution? Hyper localized digital marketing. Location-based data allows brands to create strong connections with individual consumers rather than blindly targeting large segments of the population. By analyzing extremely... [...]

‘How Small Businesses Can Make the Most of Big Data’ – Small Business Trends

Pratik Dholakiya says, “Big data and business intelligence (BI) used to be only for enterprise companies. Now, however, thanks to the software as a service (SaaS) revolution, even small businesses can afford to track and tap into a wealth of information. However, becoming a data-driven small business isn’t easy. Because you’re dealing with complex troves of records that have multiple sources and are therefore highly unlikely to be structured uniformly, it can be difficult to process it all and interpret it into insights your business can actually use. What’s more, many of the leading business... [...]

‘Report: The Promise Of Big Data Is Recognized But Rarely Realized’ – ‘Marketing Land’ Article

Greg Sterling says, “A new report from the Winterberry Group and IAB, “Data As Competitive Advantage,” explores the role of “big data” within organizations. While interviews and survey respondents polled for the report find data generally to be a “competitive advantage,” the results of the research overall present a more mixed picture. According to the report, marketers and publishers are having the greatest success in using first-party data to better understand their own customers. However, use of data has been less successful in advancing core business objectives (e.g., growing... [...]

‘Seven Ways to Get Ready for the Big Data of the Future’ – ‘MarketingProfs’ Blog

Roman Lenzen says, “Data science is in the midst of transformation, with Big Data technologies starting to significantly encroach on the market share of traditional RDBMSs (relational database management systems). Spending worldwide on Big Data is forecast to hit $114 billion by 2018, growing at an annual rate of almost 30%. With an ever-increasing number of SaaS and mobile app offerings being born in the Cloud, organizations will invariably need to adapt to new, non-relational paradigms for extracting, analyzing, and securing data. That said, the RDBMS slice of the data market is still... [...]