Yes, the Data Knows:
Ultimate Utilities for Analysts in 2019

Do you feel that time flies faster than a speeding bullet? We’ll help you recap the biggest trends of 2018 and get ready for 2019. This article will be useful for business analysts, marketing specialists, marketing analysts, data enthusiasts, and business owners.

Top books for analysts

Are books the best means of self-education for you? We’d like to cheer on your book reading and propose a perfect list for your evening reading ritual. Check it out!

The Failure of Risk Management: Why It’s Broken and How to Fix It by Douglas Hubbard

The risk management industry is evolving all the time. This book is good for both professionals and beginners as it has real-life examples and covers the theoretical basics. It’s applicable for any level of management.

Measuring and Management Information Risk: A FAIR Approach by Jack Jones and Jack Freund

Learn all about the FAIR model and quantitative measurement approaches, and get insights into how a risk management program can provide value!

Superforecasting: The Art and Science of Prediction by Philip Tetlock and Dan Gardner

This book is so easy to read. And so easy to put into practice. The most interesting part is about predictions based on uncertain data. This is an exciting book for any analyst to read over the weekend.

Analytics: How to Win with Intelligence by John Thompson & Shawn Rogers

This book talks about a few interesting cases from 30 years of the author’s practice. Learn how to turn big data and other sources of information into valuable knowledge, creating a competitive advantage to propel your business toward market leadership.

Business Case Analysis with R by Robert D. Brown III

No one can ignore programming skills nowadays! R is one of the most widely used tools for reproducible quantitative analysis. This book teaches you, in a very conversational style, how to use the statistical programming language R for business needs.

The R language, traditionally used for statistical analysis, also provides a more explicit, flexible, and extensible environment than spreadsheets for conducting business case analysis.

Artificial Intelligence for Marketing. Practical Applications by Jim Sterne

For some marketers, it’s easier to become superman than a big data specialist. If you’re such a marketer, start reading this book. It’s designed to give marketing professionals a focused introduction to the trendiest technologies and how they’re being applied in marketing. Jim Sterne walks you through the need-to-know aspects of artificial intelligence, including natural language processing, speech recognition, and machine learning.

Principles of Marketing Engineering and Analytics by Gary Lilien, Arvind Rangaswamy, and Arnaud De Bruyn

Marketing isn’t a humanitarian discipline anymore! This book focuses on Marketing Engineering, which the authors define as a systematic approach to harnessing data and knowledge to drive effective marketing decision-making and implementation through a technology-enabled and model-supported interactive decision process.

The New Rules of Marketing and PR: How to Use News Releases, Blogs, Podcasting, Viral Marketing and Online Media to Reach Buyers Directly by David Meerman Scott

This book provides a new view on modern PR rules for a variety of PR tools, with instructions on how to implement them. It offers a great analysis of different channels from successful practitioners with lots of experience.

Enchantment: The Art of Changing Hearts, Minds, and Actions by Guy Kawasaki

Do you know what the three pillars of enchantment are? This book will tell you. Also, you’ll find out how to apply them in your everyday life and in the work environment. Guy Kawasaki is a great author not only for analysts but for anyone who likes self-improvement books.

Here Comes Everybody: The Power of Organizing Without Organizations by Clay Shirky

In this delightfully readable book, practically every page has an insight that will change the way you think about the new era of social media. The collective mind isn’t an empty concept anymore.

Top case studies for analysts from 2018

Let’s see which case studies from 2018 set the bar for top performance and what we need to exceed in 2019.

Sephora’s investment in AR and data analytics

Sephora is a multinational chain of personal care and beauty stores with an almost 50-year history. And it’s quite modern. Their latest campaign is an app that uses augmented reality and artificial intelligence to let users try different makeup products they can find online and in the store.

How cool is that? During makeup try-ons, Sephora’s app gives advice and interesting tips, collects feedback, and gently leads customers to the checkout. The company’s analytics are enriched with lots of funnel-based e-commerce data and first-class user experience information.

What’s been the result? Customers have tried on 200 million shades during more than 8.5 million visits to the Sephora Virtual Artist. Nailed it!

Great predictions by American Express

All analytical efforts at American Express have been concentrated on loyalty. Is 115 variables enough to estimate the churn rate?

Now, American Express predicts their four-month churn rate at 24%. They have plenty of work to do with those customers who might churn!

Duetto helps you find the hotel of your dreams

Analytics has made it easier for companies to personalize hotel offerings. Duetto uses data on the prices of services and goods that users buy online (based on online searches) to determine the prices of apartments or hotel rooms to display.

Netflix is even more interesting because of this…

The team at Netflix is quite impressive. In their fight against sleep, they’ve taken analytics to a new level. Now they’re processing cosmic amounts of data on international viewing habits to offer the best programs for large and varied audiences.

Next Big Sound tells you who’ll be on TV tomorrow

Who will wake up as a famous star? This is the question Next Big Sound is answering with analytics based on Wikipedia page views, Facebook Likes, YouTube views, and Twitter mentions. This service is more reliable than those music analysts on the talk shows.

Procter & Gamble has created a data-based “one ring” to rule them all

Procter & Gamble gathers petabytes of structured and unstructured data across research and development, supply chain, customer-facing operations, and customer interactions both online and offline. Their main task in 2018 was to combine all of this data.

Raiffeisen finds fraud in the CPA network

To prove a hypothesis about affiliates rewriting traffic source data to their benefit, Raiffeisen marketing specialists decided to start collecting raw user behavior data. Based on this information, Raiffeisen stopped cooperation with webmasters acting in bad faith and optimized their marketing budget. Saving money is a talent. Be talented like Raiffeisen.

Red Roof Inn as a harbinger of hospitality

An estimated 2–3% of flights are cancelled daily at O’Hare International Airport. That means 500 planes don’t take off, leaving 90,000 passengers stranded. Red Roof Inn uses big data to identify demand and uses search advertising, mobile communications, and other methods to drive digital bookings with personalized messages like “Stranded at O’Hare? Check out Red Roof Inn.”

The results have been great. Red Roof Inn has seen 10% growth year over year. That’s how profitable it is to be at the right place at the right time.

Language-based analysis by Walmart

Walmart implemented three great ideas at once: text analysis, machine learning, and synonym mining. Walmart says that adding semantic search has led to an increase of 10–15% in the order completion rate for online shoppers. In Walmart terms, that’s billions of dollars.

How would you measure your success in numbers for 2018?

Top questions for analysts at job interviews as Googled in 2018

You may ask these questions eventually. Or you may have to prepare for them if you want to be an analyst. Some of them are too simple or too specific, but you must be ready for them anyways.

  1. Why did you go into data analysis?
  2. How would you explain your job and its importance to your grandmother?
  3. How do you deal with difficult stakeholders?
  4. Talk about a time when you couldn’t meet a deadline.
  5. Tell me about your typical approach to a project.
  6. What do you see as the key strengths of an analyst?
  7. Can you name tools that are helpful for business analysis?
  8. What is meant by benchmarking?
  9. How would you differentiate a risk and an issue?
  10. What diagrams should a BA know?

We wish you luck with your interviews in 2019! Gather your dream team and work with pleasure.

Top tools & apps for analysts

Modern analysts are flooded with tools and technologies to adopt in their work. And there’s no other way to choose what’s best for you than to try and try again. Here’s a list of tools for analysts — and for you — to try in 2019.

What interesting tools did you use in 2018? Were they effective? In the comments, let us know what great instruments we forgot to mention.

Top blogs for analysts

As you already know, a good analyst is a good reader. And even a writer or blogger! Follow these blogs to stay on the cutting edge of marketing analytics and learn interesting tips and tricks for analysts.

Who’s your favorite marketing blogger? Maybe they aren’t on the list, so let us know in the comments below!

Top analytics companies

We’ve created this list based on Clutch rankings. Clutch is a platform with in-depth client reviews and data-driven content that showcases vetted market leaders. These market leaders differ from each other not only in the services they provide but also in their approaches and philosophy. But all of them are obsessed with analytics and delivering value to clients.

  • CBIG Consulting
  • Anthem Marketing Solutions
  • LatentView Analytics
  • Statistics Solutions
  • Denologix
  • Rudder Analytics
  • Beyond the Arc
  • DataSelf
  • Treselle Systems
  • Cartesian Consulting

Maybe your company will appear on this list in 2019? Try hard and beat a path to the better version of yourselves.

Top conferences for analysts in 2019

Conferences are the best place to absorb unique expertise and ideas that you can apply in practice. Analysts can visit any of these conferences to network and share professional stories.

Don’t forget to buy tickets and add the dates to your calendar. Even if you’re the most shy person in the world, come to these events to hear people who are leaders in your market.

Top trends for analysts in 2019

These are mostly Gartner’s predictions. Maybe they’re somewhat vague, but they catch the biggest undercurrents that are making analytics the right hand of modern business and society.

Data storytelling culture

The data structure inside a company describes its level of development and hides a lot of insights. Data storytelling culture refers to how written communication, stories, and data flows inside a company shape its internal structure and development.

Data curation

Data curation is the process of capturing, cleaning, defining, and aligning disparate data to bridge the gap between data and its real-world applications. We’ve created a virtual world and enriched it with data. Now we need to make data accessible and easy to use for humans, machines, and systems.

NGOs and nonprofits create data commonwealths

NGOs and nonprofit organizations are becoming players in the data market, democratizing access to data and creating a data commonwealth to bring value to society. And these organizations are often are the most reliable sources of data because they gather data from special channels like research groups that have unique technical insights and do their own investigations.

New codes of data ethics

Citizen data scientists are the most interesting contributors to the future of analytics. They care about the practical implementation of new discoveries. The appearance of these specialists will seriously impact politics and social relations.

The growing importance of the CDO & CAO

At last, C-level analysts are getting the power and influence they deserve! If you want to be successful with data, choose your Chief Data Officer & Chief Analytics Officer well.

Mixed experiences

Virtual, augmented, and mixed realities are new ways to explore the digital world. Our devices have become nothing more than keys to a brand-new world of possibilities.

Augmented analytics

This trend describes a new wave of analytics that uses machine learning to set and test hypotheses and build automated reports into enterprise applications. A good example of a company that’s developing in this way is OWOX BI.

Digital twins

This trend is about creating digital twins of anything that exists in real life, whether a process or entity. We have a lot of work to do on this front because the virtual world will never be overpopulated.

Anticipating the new experiences in 2019

Get ready for the future, create new trends and be brave in the Digital Jungles of XXI century! Let’s make the world a better place to live.

Resources:

  1. Top 3 Books for New Risk Analysts, FAIR Institute Blog
  2. 50 Best Tools & Apps To Maximize Your Marketing Team Productivity, FinancesOnline
  3. 8 Cool Marketing Analysis Tools for Data Junkies, WordStream
  4. Top five trends for harnessing data in 2019, Information Age
  5. Top 10 Interview Questions for a Marketing Analyst, Boost Agents Blog
  6. Top Marketing Conferences in 2019, Brandpoint Blog
  7. 15 Of The Best, Must-attend Marketing Conferences In 2019, Knowledge Enthusiast
  8. 10 Top Marketing Blogs Worth Following, Brafton Blog
  9. Top Big Data Marketing Companies, Clutch Reviews
  10. Pay Attention to These 6 Marketing Technologies in 2018, Gartner
  11. 6.5 Disruptive Digital Marketing Technologies To Keep An Eye On In 2018, Target Internet
  12. Empowered Edge Included in Gartner Top 10 Technology Trends for 2019, Section.io Blog

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