Marketing automation, machine learning models, customer data platforms; at least one of these is included in your company’s ambitions for 2020. But is you analytics implementation prepared for it? Many companies struggle to implement ambitious data projects because of a lack of data standards and ownership, specialy in the digital analytics sphere.

Marketers and analysts not only want to know which channels & campaigns drive sales and what is their ROI. They want to know how to optimize digital marketing performance starting from strategy and up to keywords bids adjustment. As advertising tools evolve, campaign optimization inside a particular ad service is being constantly improved. The main decision for a marketing professional to make is how to choose the perfect budget allocation across the channels and how to know in advance what results one can expect from each channel in the future.

Have you ever been at a loud party, or a bar, and you suddenly pick out your name being said by your friend down the end of the bar? Your brain exists to find the signal in the noise and pluck out personalized experiences. It's rooted deep in our psychology, and our need for control and to reduce information overload, but at the core... it's just how our brains physically work. There are a number of (expensive) systems that can help you employ personalization on your website, but did you know you could use personalization techniques on your site essentially overnight using free tools, and get some pretty insane results? Using free Google Analytics and Google Tag Manager, we helped one client increase their conversion rate by 32X (from 1% to 32%) using free tools, without even having to go through their developers. We'll walk through why humans do the things we do, and then dig into how you too can employ a similar personalization scheme using tools within the Google Marketing Platform to hopefully get some similarly crazy results.

Send us a text Want to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next.  Abstract This week on Making Data Simple, our guest is Michelle Peluso, SVP of Digital Sales and Chief Marketing Officer at IBM. Michelle talks us through her passion for marketing and why she believes IBM is the best place to be for it. She shares some critical, modern-day marketing tactics that emphasize making an impact to your loyal consumers, while attracting new users. Tune-in and take part in the conversation.  Connect with Michelle LinkedIn Twitter IBM News Room Show Notes 02:06 - Check out these critical tips on time management from Forbes.  08:03 - Here is an article on storytelling trends marketing leaders should know.  15:50 - See this article for more info on data driven marketing.  24:07 - Check out these cyber security marketing tactics.  Connect with the Team Producer Liam Seston - LinkedIn. Producer Lana Cosic - LinkedIn. Producer Meighann Helene - LinkedIn.  Producer Mark Simmonds - LinkedIn.  Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Don’t be afraid of the GDPR wolf! How can your business easily comply with the new data protection and privacy laws and avoid fines of up to $27M? GDPR For Dummies sets out in simple steps how small business owners can comply with the complex General Data Protection Regulations (GDPR). These regulations apply to all businesses established in the EU and to businesses established outside of the EU insofar as they process personal data about people within the EU. Inside, you’ll discover how GDPR applies to your business in the context of marketing, employment, providing your services, and using service providers. Learn how to avoid fines, regulatory investigations, customer complaints, and brand damage, while gaining a competitive advantage and increasing customer loyalty by putting privacy at the heart of your business. Find out what constitutes personal data and special category data Gain consent for online and offline marketing Put your Privacy Policy in place Report a data breach before being fined 79% of U.S. businesses haven’t figured out how they’ll report breaches in a timely fashion, provide customers the right to be forgotten, conduct privacy impact assessments, and more. If you are one of those businesses that hasn't put a plan in place, then GDPR For Dummies is for you.

Practical Data Science with R, Second Edition takes a practice-oriented approach to explaining basic principles in the ever expanding field of data science. You’ll jump right to real-world use cases as you apply the R programming language and statistical analysis techniques to carefully explained examples based in marketing, business intelligence, and decision support. About the Technology Evidence-based decisions are crucial to success. Applying the right data analysis techniques to your carefully curated business data helps you make accurate predictions, identify trends, and spot trouble in advance. The R data analysis platform provides the tools you need to tackle day-to-day data analysis and machine learning tasks efficiently and effectively. About the Book Practical Data Science with R, Second Edition is a task-based tutorial that leads readers through dozens of useful, data analysis practices using the R language. By concentrating on the most important tasks you’ll face on the job, this friendly guide is comfortable both for business analysts and data scientists. Because data is only useful if it can be understood, you’ll also find fantastic tips for organizing and presenting data in tables, as well as snappy visualizations. What's Inside Statistical analysis for business pros Effective data presentation The most useful R tools Interpreting complicated predictive models About the Reader You’ll need to be comfortable with basic statistics and have an introductory knowledge of R or another high-level programming language. About the Authors Nina Zumel and John Mount founded a San Francisco–based data science consulting firm. Both hold PhDs from Carnegie Mellon University and blog on statistics, probability, and computer science. Quotes Full of useful shared experience and practical advice. Highly recommended. - From the Foreword by Jeremy Howard and Rachel Thomas Great examples and an informative walk-through of the data science process. - David Meza, NASA Offers interesting perspectives that cover many aspects of practical data science; a good reference. - Pascal Barbedor, BL SET R you ready to get data science done the right way? - Taylor Dolezal, Disney Studios

Guest - Christine Osazuwa:https://twitter.com/c_osazuwahttps://www.linkedin.com/in/christineosazuwa/http://christineosazuwa.com/https://musically.com/2019/10/31/what-trigger-cities-really-mean-for-music-marketing/https://www.elitedaily.com/dating/lessons-100-first-dates/1099230 Podcast:http://podcast.chartmetric.com/ http://chartmetric.com/

This IBM® Redpaper™ publication is a comprehensive guide covering the IBM Power System L922 (9008-22L) server, which was designed for data-intensive workloads such as databases and analytics in the Linux operating system. The objective of this paper is to introduce the major innovative Power L922 offering and its relevant functions: The new IBM POWER9™ processor, available at frequencies of 2.7 - 3.8 GHz, 2.9 - 3.8 GHz, and 3.4 - 3.9 GHz. Significantly strengthened cores and larger caches. Two integrated memory controllers that allow double the memory footprint of IBM POWER8® processor-based servers. An integrated I/O subsystem and hot-pluggable Peripheral Component Interconnect Express (PCIe) Gen4 and Gen3 I/O slots. I/O drawer expansion options offer greater flexibility. Support for Coherent Accelerator Processor Interface (CAPI) 2.0. New feature IBM EnergyScale™ technology provides new variable processor frequency modes that provide a significant performance boost beyond the static nominal frequency. This publication is for professionals who want to acquire a better understanding of IBM Power Systems™ products. The intended audience includes the following roles: Clients Sales and marketing professionals Technical support professionals IBM Business Partners Independent software vendors (ISVs) This paper expands the current set of IBM Power Systems documentation by providing a desktop reference that offers a detailed technical description of the Power L922 system. This paper does not replace the current marketing materials and configuration tools. It is intended as an extra source of information that, together with existing sources, can be used to enhance your knowledge of IBM server solutions.

Send us a text Want to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next.  Abstract Our guest this week is Scott Hebner, VP and CMO for IBM Data and AI. This episode revolves around the marketing industry and tactics employed by those in the field. Scott walks us through his perspectives and insights. Connect with Scott LinkedIn Twitter Show Notes 03:38 - Unsure what the cloud business is all about? Take a look at IBM's complete guide here. 11:30 - Click here to learn about data silos and why they will harm your business.  13:36 - Learn about how big data and AI work together in this article. 28:44 - Find out more about data lakes and data swamps here. Connect with the Team Producer Liam Seston - LinkedIn. Producer Lana Cosic - LinkedIn. Producer Meighann Helene - LinkedIn.  Producer Mark Simmonds - LinkedIn.  Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

This IBM® Redpaper™ publication is a comprehensive guide that covers the IBM Power Systems™ LC921 and LC922 (9006-12P and 9006-22P)) servers that use the current IBM POWER9™ processor-based technology and supports Linux operating systems (OSes). The objective of this paper is to introduce the offerings and their capacities and available features. These new Linux scale-out systems provide differentiated performance, scalability, and low acquisition cost, and include the following features: Superior throughput and performance for high-value Linux workloads. Low acquisition cost through system optimization (industry-standard memory and industry-standard three-year warranty). Rich I/O options in the system unit. There are 12 large form factor (LFF)/small form factor (SFF) bays for 12 SAS/SATA hard disk drives (HDDs) or solid-state drives (SSDs), and four bays that are available for Non-Volatile Memory Express (NVMe) Gen3 adapters. Includes Trusted Platform Module (TPM) 2.0 Nuvoton NPCT650ABAWX through I2C (for secure boot and trusted boot). Integrated MicroSemi PM8069 SAS/SATA 16-port Internal Storage Controller Peripheral Component Interconnect Express (PCIe) 3.0 x8 with RAID 0, 1, 5, and 10 support (no write cache). Integrated Intel XL710 Quad Port 10 GBase-T PCIe 3.0 x8 UIO built-in local area network (LAN) (one shared management port). Dedicated 1 Gb Intelligent Platform Management Interface (IPMI) port. This publication is for professionals who want to acquire a better understanding of IBM Power Systems products. The intended audience includes: Clients Sales and marketing professionals Technical support professionals IBM Business Partners Independent software vendors (ISVs)

This IBM® Redpaper™ publication gives a broad understanding of a new architecture of the IBM Power System E950 (9040-MR9) server that supports IBM AIX®, and Linux operating systems. The objective of this paper is to introduce the major innovative Power E950 offerings and relevant functions: The IBM POWER9™ processor, which is available at frequencies of 2.8 - 3.4 GHz. Significantly strengthened cores and larger caches. Supports up to 16 TB of memory, which is four times more than the IBM POWER8® processor-based IBM Power System E850 server. Integrated I/O subsystem and hot-pluggable Peripheral Component Interconnect Express (PCIe) Gen4 slots, which have double the bandwidth of Gen3 I/O slots. Supports EXP12SX and ESP24SX external disk drawers, which have 12 Gb Serial Attached SCSI (SAS) interfaces and support Active Optical Cables (AOCs) for greater distances and less cable bulk. New IBM EnergyScale™ technology offers new variable processor frequency modes that provide a significant performance boost beyond the static nominal frequency. This publication is for professionals who want to acquire a better understanding of IBM Power Systems™ products. The intended audience includes the following roles: Clients Sales and marketing professionals Technical support professionals IBM Business Partners Independent software vendors (ISVs) This paper expands the current set of Power Systems documentation by providing a desktop reference that offers a detailed technical description of the Power E950 server. This paper does not replace the current marketing materials and configuration tools. It is intended as an extra source of information that, together with existing sources, can be used to enhance your knowledge of IBM server solutions.

This IBM® Redpaper™ publication is a comprehensive guide that covers the IBM Power System H924 (9223-42H), and IBM Power System H922 (9223-22H) servers that support memory-intensive workloads such as SAP HANA, and deliver superior price/performance for mission-critical applications in IBM AIX®, IBM i, and Linux operating systems. The objective of this paper is to introduce the major innovative Power H92 and Power H922 offerings and their relevant functions: The new IBM POWER9™ processor, which is available at frequencies of 2.8 - 3.8 GHz, 2.9 - 3.8 GHz, 2.8 - 3.8 GHz, 3.4 - 3.9 GHz, 3.5 - 3.9 GHz, and 3.8 - 4.0 GHz. Significantly strengthened cores and larger caches. Two integrated memory controllers that allow doubled the memory footprint of IBM POWER8® servers. An integrated I/O subsystem and hot-pluggable Peripheral Component Interconnect Express (PCIe) Gen4 and Gen3 I/O slots. I/O drawer expansion options offer greater flexibility. Support for Coherent Accelerator Processor Interface (CAPI) 2.0. IBM EnergyScale™ technology provides new variable processor frequency modes that provide a significant performance boost beyond the static nominal frequency. This publication is for professionals who want to acquire a better understanding of IBM Power Systems™ products. The intended audience includes the following roles: Clients Sales and marketing professionals Technical support professionals IBM Business Partners Independent software vendors (ISVs) This paper expands the current set of IBM Power Systems documentation by providing a desktop reference that offers a detailed technical description of the Power H92 and Power H922 systems. This paper does not replace the latest marketing materials and configuration tools. It is intended as an extra source of information that, together with existing sources, can be used to enhance your knowledge of IBM server solutions.

How Music ChartsSeason 2, Episode 1 - Get to Know the Hosts (Jason Joven, Rutger Ansley Rosenborg)Guests: Jason Joven - Manager, Content and InsightsRutger Ansley Rosenborg - Digital Marketing Timestamps:0:00 - Intro to Season 2's format1:15 - S2E1 intro1:56 - Jason's background4:25 - Rutger's background6:25 - Data vs. Gut9:35 - Where should business data start to mix with the creative process?11:44 - AI startups changing music itself13:20 - SPEED ROUND15:16 - Wrap-Up How Music Charts is owned and operated by ChartmetricEmail us at [email protected] on Twitter, LinkedIn, Facebook, InstagramFree accounts are available at chartmetric.com Article links and show notes are at: podcast.chartmetric.com

Do you know what skill sets you're going to need in the next three years to stay relevant in the BI (business intelligence) industry? Don't wait for the BI bubble to pop! When I met Jen Underwood, she was one of Microsoft's first Power BI product managers and an undeniable voice of reason in the BI industry through her blogs and other insightful posts online. I always admired her technical aptitude and was not surprised that she went on to work at cool startups like DataRobot and now Aible. In this exciting episode, Jen breaks down what you need to know and do to be viable and relevant in the BI market in 2020 and beyond! Let's just say, it's definitely not what you're doing today. Tune in, and level up!

In this episode, you'll learn: [02:58] Jen's CV: Marketing degree and love for data leads to 20+ years in BI industry. [05:17] Key Quote: I knew that I fell in love with programming and all that. But I didn't have the patience to extend my college years. - Jen Underwood [06:41] Fear of Failure: Jen's only option was to succeed during her homeless period. For full show notes, his book give away, and the links mentioned visit: https://bibrainz.com/podcast/38 Sponsor This exciting season of AOF is sponsored by our BI Data Storytelling Mastery Accelerator 3-Day Live workshop. Our second one is coming up on Jan 28-30 and registration is open! Join us and consider upgrading to be a VIP (we have tons of bonuses planned). Many BI teams are still struggling to deliver consistent, high-engaging analytics their users love. At the end of three days, you'll leave with the tools, techniques, and resources you need to engage your users. Register today!   Enjoyed the Show?  Please leave us a review on iTunes.

Continuing its commitment to developing and delivering industry-leading storage technologies, IBM® introduces the IBM Storwize® V7000 solution powered by IBM Spectrum™ Virtualize. This innovative storage offering delivers essential storage efficiency technologies and exceptional ease of use and performance, all integrated into a compact, modular design that is offered at a competitive, midrange price. The IBM Storwize V7000 solution incorporates some of the top IBM technologies that are typically found only in enterprise-class storage systems, which raises the standard for storage efficiency in midrange disk systems. This cutting-edge storage system extends the comprehensive storage portfolio from IBM and can help change the way organizations address the ongoing information explosion. This IBM Redbooks® publication introduces the features and functions of the IBM Storwize V7000 and IBM Spectrum Virtualize™ V8.2.1 system through several examples. This book is aimed at pre-sales and post-sales technical support and marketing and storage administrators. It helps you understand the architecture of the Storwize V7000, how to implement it, and how to take advantage of its industry-leading functions and features.

Multi-touch attribution is like fat free cheese: it sounds like a great idea, it seems like technology would have made it amazing and delicious by now, and, yet, the reality is incredibly unsatisfying. Since we've recently covered how browsers are making the analyst's lot in life more difficult, and since multi-touch attribution is affected by those changes, we figured it was high time to revisit the topic. It's something we've covered before (twice, actually). But interest in the topic has not diminished, while a claim could be made that reality has gone from being merely a cold dishrag to the face to being a bucket of ice over the head. We sat down with Priscilla Cheung to hash out the topic. No fat free cheese was consumed during the making of the episode. For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.

Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python presents an applied approach to data mining concepts and methods, using Python software for illustration Readers will learn how to implement a variety of popular data mining algorithms in Python (a free and open-source software) to tackle business problems and opportunities. This is the sixth version of this successful text, and the first using Python. It covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, recommender systems, clustering, text mining and network analysis. It also includes: A new co-author, Peter Gedeck, who brings both experience teaching business analytics courses using Python, and expertise in the application of machine learning methods to the drug-discovery process A new section on ethical issues in data mining Updates and new material based on feedback from instructors teaching MBA, undergraduate, diploma and executive courses, and from their students More than a dozen case studies demonstrating applications for the data mining techniques described End-of-chapter exercises that help readers gauge and expand their comprehension and competency of the material presented A companion website with more than two dozen data sets, and instructor materials including exercise solutions, PowerPoint slides, and case solutions Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python is an ideal textbook for graduate and upper-undergraduate level courses in data mining, predictive analytics, and business analytics. This new edition is also an excellent reference for analysts, researchers, and practitioners working with quantitative methods in the fields of business, finance, marketing, computer science, and information technology. “This book has by far the most comprehensive review of business analytics methods that I have ever seen, covering everything from classical approaches such as linear and logistic regression, through to modern methods like neural networks, bagging and boosting, and even much more business specific procedures such as social network analysis and text mining. If not the bible, it is at the least a definitive manual on the subject.” —Gareth M. James, University of Southern California and co-author (with Witten, Hastie and Tibshirani) of the best-selling book An Introduction to Statistical Learning, with Applications in R

Highlights  This week, two huge artists let the track lists of their upcoming albums slip and a couple of other big names released music videos. Let’s see if they reaped any data rewards. Mission   Good morning, it’s Rutger here at Chartmetric with your 3-minute Data Dump where we upload charts, artists, and playlists into your brain so you can stay up on the latest in the music data world.We’re on the socials at “chartmetric” — that’s Chartmetric, one word and no “S.” Follow us on LinkedIn, Instagram, Twitter, or Facebook, and talk to us! We’d love to hear from you.DateThis is your Data Dump for Friday, Oct. 25, 2019.Track List Reveals and Music Videos: Stunts or Bumps?Coldplay and Miley Cyrus let the track listings for their respective upcoming albums drop this week, while Doja Cat and Selena Gomez released some music video eye candy to promote their upcoming album releases.We’re not saying the strategies are mutually exclusive by any means, but what are the actual gains from each, from a data perspective?Coldplay, who cheekily revealed the track list of their upcoming album by posting a classified ad in North Wales’ Daily Post, have been pretty good about staying in the spotlight, but amidst collabs and side projects, they’ve still managed to put together a double album called “Everyday Life,” which is due out Nov. 22.So far, the sneaky announcement has garnered tons of press, helped along by the release of “Arabesque” and “Orphans,” two tracks from each album.It probably didn’t cost them very much, either.While the effect seems relatively negligible now due its two-day freshness, across most platforms, they’re showing signs of an upward trajectory.They’ve gained some 30K Spotify followers, 5K Insta followers, 2K Twitter followers, and 8.5K Wikipedia views. They’ve also increased their Spotify popularity by a point, which is not insignificant in just a day or two’s work.Clearly, Coldplay had a lot of intention behind their track list leak, but Miley Cyrus’ situation is a bit murkier.During a livestream on Instagram on Sunday, viewers spotted a whiteboard behind Miley with a bunch of, well, presumably track names scrawled all over it.It doesn’t look staged, but then again, her upcoming album isn’t exactly a secret, so there could be a bit of guerilla marketing going on there.Seeing as she hasn’t released anything “tangible” this week, her metrics are a bit more stagnant, which is not to diminish her No. 10 rank across eight platforms, according to our Cross-Platform Performance ranking system.Two artists who have some audiovisual tangibility to show are former Disney star Selena Gomez and LA-based rapper Doja Cat.Gomez’s “Look at Her Now” music video has bumped her up in terms of fan acquisition on Spotify, Instagram, Twitter, SoundCloud, and YouTube, but her streams and views aren’t seeing a huge lift … yet.She did just release two new singles within a day of each other, so those follower gains are likely to bump up her listener and views gains in the coming days.Star-on-the-rise Doja Cat was trending hard on Twitter following her music video/single drop of “Rules” and her streaming numbers are climbing and climbing.Just six months ago, Doja was at 1.9M Spotify Monthly Listeners.That number started accelerating in August, from 2.6M to 3.7M, and just this month, she’s gone from 4.6M to nearly 6M. Combined with her half-a-million-Spotify-followers-and-climbing, her Spotify popularity score is edging near the upper echelons of the streaming world.With the kind of attention that Doja’s powerfully provocative video is getting, there’s some definite streaming staying power there.So, while album track list leaks don’t appear to be particularly indicative of a data bump on their own, combined with a double-single release — especially if you’re Coldplay — they can be a relatively inexpensive strategy for generating a lot of attention.There’s nothing like a really cool music video to train and sustain all eyes on an artist, though.OutroThat’s it for your Daily Data Dump for Friday, Oct. 25, 2019. This is Rutger from Chartmetric.Free accounts are available at chartmetric.com And article links and show notes are at: podcast.chartmetric.comIf you haven’t downloaded 6MO, our Global Music Industry Data Report, yet, you can find it all across our socials and in our show notes!Happy Friday, have a great weekend, and we’ll see you next week! 

As your business tries to make sense of today’s staggering amount of structured and unstructured data, traditional analytics will take you only so far. The key to success over the next few years will depend on augmented analytics, a method that embeds machine learning and natural language processing (NLP) in the process. This report explains how augmented analytics can help you uncover hidden insights, predict results, and even prescribe solutions. Author Alice LaPlante provides best practices for deploying augmented analytics, along with real-world case studies that show you how to take full advantage of this method. IT professionals, business managers, and CFOs will learn ways to democratize data use among business users and executives, using a self-service model. The future belongs to those who can get more from their data. This report shows you how. Get a primer on the key components and learn how they work together Delve into the benefits of—and roadblocks to—adopting augmented analytics Learn how companies use this method in marketing, sales, finance, and human resources Examine case studies of companies including Accenture and Riverbed

Highlights  UK singer-songwriter and producer prodigy Labrinth has created a hallucinatory experience with his soundtrack of HBO’s new show Euphoria, and with data as our guide, we’re going to try to navigate the psychedelic experience with you.Mission   Good morning, it’s Rutger here at Chartmetric with your 3-minute Data Dump where we upload charts, artists, and playlists into your brain so you can stay up on the latest in the music data world.We’re on the socials at “chartmetric” — that’s Chartmetric, one word and no “S.” Follow us on LinkedIn, Instagram, Twitter, or Facebook, and talk to us! We’d love to hear from you.DateThis is your Data Dump for Friday, Oct. 11, 2019.Take a Psych Trip Through Labrinth’s ‘Euphoria’Besides collaborating with Sia, Diplo, and Beyonce in recent years, Timothy Lee McKenzie, better known by his stage name, Labrinth, just scored — literally and figuratively — his first TV series, HBO’s Euphoria.According to Rolling Stone, “His soundtrack ... hums with soft electricity, perfectly complementing the journey of the main character, Rue, a teenager caught in limbo between the euphoria of a drug high and the harsh consequences of addiction.”It’s rare that a TV show soundtrack generates high — if any at all — demand, but according to McKenzie himself, “If I put a post up, the first message is ‘Where’s the album? Where’s the soundtrack?!’ So I’m like, ‘OK, don’t worry.’ We’re working on getting ‘em what they need.”And he and the HBO team did just that, releasing the soundtrack last Friday.Though his early April releases of “SIN” and LSD, his Sia/Diplo collab, accounted for his highest Spotify Follower gains this year, at 5K and 3K, respectively, Euphoria has him at a 2K increase.That said, on Insta and Wikipedia, an early single drop from the soundtrack on Aug. 3 gave Labrinth his most significant spikes with a 5K follower increase and 3.5K views, respectively.It’s an interesting strategy for artists, labels, and managers to think about, because not only are there upfront fiscal upsides from synchronizations, but there are also the inherent promotional upsides couched in the television and video streaming industry’s massive marketing budgets. That’s not to say that it limits a series to only one artist, of course.Euphoria’s official Spotify playlist, which includes every track used in Season 1, ranges from Solange to Lizzo, Blood Orange to Randy Newman and much, much more.Unfortunately, an individual curator seems to have ripped the official Euphoria playlist and pawned it off as their own, outperforming the official playlist by about 3 to 1 in terms of follower count.Which just goes to show — albeit unscrupulously — that understanding and anticipating trends and listener behavior can go a long way toward building audiences in the streaming era.  OutroThat’s it for your Daily Data Dump for Friday, Oct. 11, 2019. This is Rutger from Chartmetric.Free accounts are available at chartmetric.com And article links and show notes are at: podcast.chartmetric.comIf you haven’t downloaded 6MO, our Global Music Industry Data Report, yet, you can find it all across our socials and in our show notes!Happy Friday, have a great weekend, and we’ll see you next week!