WHY IT MATTERS: Digital Transformation

Stay ahead of threats with the insights in the 2020 Data Breach Investigations Report (DBIR) from Verizon Enterprise Solutions. Read the official report now.

If you take nothing else away from this post, it should be that retention matters. A lot. No other metric is as singularly telling of whether your business will thrive or die. And so, the better you understand what good retention looks like for your business, the better shot you have at the former. We hope this research proves useful to you whether you’re building, investing, or just curious.

This infographic examines the privacy policies of Facebook, Google, Apple, Twitter, Amazon and Microsoft.

The C3.ai COVID-19 Data Lake uniquely integrates multiple data sources in a unified data model, ready for analysis – not just a list of links or a collection of data sets. Stop wasting time wrangling data and focus instead on generating insights. Access data at no charge with any utility that supports RESTful APIs.

Looking for a data visualisation tool or SEO report templates? Grab these FREE Data Studio Templates to speed up your reporting (and more).

Mary Meeker's venture capital firm, Bond, sends a 28-page report to its investors.

A recap of the Top 100 fastest growing & declining categories in March 2020 vs. March 2019

When you’re done reading the article, this is what you’ll take away:

It’s coming at an exponential speed: gradually, and then suddenly.
It’s a matter of days. Maybe a week or two.
When it does, your healthcare system will be overwhelmed.
Your fellow citizens will be treated in the hallways.
Exhausted healthcare workers will break down. Some will die.
They will have to decide which patient gets the oxygen and which one dies.
The only way to prevent this is social distancing today. Not tomorrow. Today.
That means keeping as many people home as possible, starting now.

Expert data scientists and other professionals working in data science roles require capabilities to source data, build models and operationalize machine learning insights. Significant vendor growth, product development and myriad competing visions reflect a healthy market that is maturing rapidly.

Dataset Search launches publicly with an index of 25 million datasets, helping scientists, journalists, students, data geeks to find data.

Dataset Search also gives us a snapshot of the data out there on the Web. Here are a few highlights. The largest topics that the datasets cover are geosciences, biology, and agriculture. The majority of governments in the world publish their data and describe it with schema.org. The United States leads in the number of open government datasets available, with more than 2 million. And the most popular data formats? Tables–you can find more than 6 million of them on Dataset Search.

Here are three analytics resolutions all marketers should make in 2020 if they want to create a competitive advantage for their company.

The internet has changed the way we work, interact and learn with others across the world. How many people in the world are online, and how has this changed over time? Explore global and country-level data on internet access and technology.

The most recent version of the dashboards and Business Intelligence tools list. Start here to understand the BI landscape, browse options and understand pricing.

Use the 2019 Gartner Hype Cycle for Digital Marketing and Advertising to prioritize your marketing technology investments.

The number of marketing technologies available to businesses has soared in the last five years – from about 150 in 2011 to over 3,800 in 2016, according to ChiefMarTech.com. And a study by eConsultancy and Tealium found that businesses use on average more than 20 marketing technology vendors to deliver their campaigns and customer experiences. This rapid expansion of the MarTech space has created significant challenges for marketing, technology, and management teams alike making it difficult to build cohesive, end-to-end customer experiences because of gaps between marketing technologies, the data they leverage, and how they are implemented. This paper provides an overview of the four core problems businesses are facing with data due to the proliferation of marketing technology, and how adopting a Universal Data Hub (UDH) solves these problems. 

Machine learning continues to gain traction in digital businesses, and technical professionals must embrace it as a tool for creating operational efficiencies. This updated primer discusses the benefits and pitfalls of machine learning, architecture updates, and new roles and responsibilities.

It’s where forward-thinking managers should be focusing.

1. First, catalogue your business processes. 
2. Second, focus on simple problems. 
3. Third, don’t use machine learning where standard business logic will suffice.
4. Fourth, if a process is complicated, use machine learning to create decision support systems.

Machine Learning (ML) is a new field, and there is a competitive advantage to those first adopters. Yet, many companies are buying ML technologies and developing strategies before they have taken the appropriate step back to evaluate whether their dat

2019 is shaping up to be a landmark year for the retail and ecommerce industries. Online spending continues to grow, retailers are experimenting with new voice technology, and an abbreviated holiday shopping season looms on the horizon. We invite you to join us on July 17, 2019 for our annua

Finding shabby abodes like these and making them respectable is the load-bearing wall of Amherst’s strategy. Amherst depends on humans to find cities, towns, and neighborhoods where fixer-uppers can become profitable, then relies on automation to pick individual homes. Negri, 31, heads the human team. He spends 150 days a year on the road overseeing Main Street ­Renewal’s operations from Atlanta to Denver, searching for “sweet spot” neighborhoods that combine affordable rents with a strong middle-income employment base.

The technology to unlock the value of personalization at scale is readily available, and you may be surprised how much of it you already have in place. You don’t need to tackle everything at once. Develop a road map with regular stage gates to evaluate platform progress based on the trade-off between value at stake and ease of implementation. Identify and prioritize quick wins that make it easy for the organization to continue funding the transformation.

Personalization is a crucial weapon in the marketer’s arsenal to achieve that goal. That’s how businesses can deliver tailored recommendations, content, offers, and experiences, across all channels and devices, along the entire customer journey. Personalization at scale has the potential to create $1.7 trillion to $3 trillion in new value (Exhibit 1). Capturing this value will require mastering the technologies and addressing the organizational disconnects—all while forging trust with customers and protecting their data.

Yes, we use data to make products more helpful for everyone. But we also protect your information.

From the Data Deniers to the Data Forward, your organization is on this chart. The marketing race will go to the most data-enriched organizations. Time for a look in the mirror. There are some who can read well enough to navigate a cookbook. Some can write a lengthy treatise on a complex subject. Some can... Read More