There’s one phrase that people never want to hear from their doctor: “I’m sorry, but you have cancer.” According to the National Cancer Institute, an estimated 1,735,350 new cases of cancer will be diagnosed in the United States this year and 609,640 people will die from the disease. Fortunately, and despite these statistics, many types […]
Data Onboarding: The Critical (Yet Difficult) First Step
Click to learn more about author Eric Crane. After the work of engaging a prospect, pitching the product, going through an evaluation process, and finally landing the business, the last thing you want is to stumble in those first critical interactions where you bring your new customer on board and start servicing the business. As […]
What Is Data Wrangling?
Data wrangling, also known as data mungling, shapes data, found in different formats, restructuring it to provide business value. Companies implement a variety of data systems to guide business decisions and solve problems to optimize a situation. Over time business context evolves, with newer technologies, additional data sources, updated regulations, and different stakeholder requirements. This […]
Ten Common Issues When Using Excel for Data Operations
Click to learn more about co-author Rosaria Silipo. Using Excel to Transform/Analyze Your Data? I know you are still using Excel sheets to transform and/or analyze your data! I know, because most of us still use it to some extent. There is nothing wrong with using Excel. Excel spreadsheets are a great tool to collect […]
Data Management Hasn’t Failed, but Data Management Storytelling Has
Click to learn more about author Scott Taylor. Let’s not kill the messengers; let’s fix the messaging! In their recently published declaration, Data Management Has Failed!, John Ladley, Tom Redman, and a host of other long-time DAMA leaders drafted a call-to-action recommending the “bold, powerful moves” needed to secure business leader support for Data Management. […]
The Art of Data Extraction
To be a data-driven business, companies need data. A lot of data. They have plenty of data in-house to work with, of course — their customer and sales data, data they get from their subscriptions to third-party data providers, and so on. But what about all that data on the web? Sourcing data from the […]
How Culture, Data, and Skills Serve as Barometers for Organizational Data Science Preparedness
Click to learn more about author Steve MacLauchlan. I’ve had the good fortune over my career of working with many different organizations across many different industries. Often, I’ve been in an advisory role assisting organizations with getting a handle on their data assets and finding value in the insights those assets can provide. When data is […]
Change or Fail: Apparel Retail Needs Big Data and Analytics to Survive
Click to learn more about author Nikolay Savin. In the last nine years, twelve thousand retail stores have closed in the US alone. And yet, 80% of apparel purchases still happen offline. It’s all about the right stores in the right locations, states Art Peck, President & CEO at Gap Inc. These new stores reflect […]
Automated Machine Learning: Just How Much?
Click to learn more about author Rosaria Silipo. An interview with three data scientists and guided automation experts There is currently a lot of talk about automated machine learning. There is also a high level of skepticism. I am here with data scientists Paolo Tamagnini, Simon Schmid and Christian Dietz.. to ask a few questions […]
Data Wrangling is a Problem
Click to learn more about author Pete Aven. Data Wrangling is bad. Yet we all do it, every single day. In a nutshell, Data Wrangling , also known by the more technical term of “data munging,” is the process or transforming data from one shape into another to prepare it for analysis and deliver some unified […]