The Background of Data Science Roles It was thought a few years ago that 2018 would amount a huge demand-supply gap in the Data Science market as supply would fail to keep pace with the rising demand for expert data scientists. However, the buzz from Gartner, which said more than 40 percent of Data Science […]
How to Become a Data Governance Lead
The Data Governance lead is responsible for the systems and rules used to ensure data is legal, well-organized, safe, accessible, and valuable. They are responsible for developing and communicating Data Governance policies. Because Data Governance covers a wide range of responsibilities, a variety of people are involved, and the Data Governance lead manages how they […]
Guide to Building a Data Strategy Framework
Your data strategy is only as good as the framework supporting it. If you don’t have a framework in the first place, you won’t have a strategy. This isn’t something that is necessarily complicated to plan out, but it can be confusing to know what exactly constitutes a good data foundation. With that in mind, below […]
Sisense Demo: The Dashboard Paradox – Breaking the Adoption Barrier with Infused Insights
Download slides here>> It’s time to think differently about data and analytics strategies. While many organizations have progressed from relying on static reports generated by IT teams to using some version of a self-service model, most still struggle to reap the world-changing benefits long-promised by experts. Unfortunately, each evolution has delivered only incremental improvements over […]
Ataccama Demo: Preparing for Enterprise Data Fabric – Metadata Driven Approach to Data Quality
Download slides here>> With the emergence of Enterprise Data Fabrics and Data Meshes, Data quality is becoming more important than ever before. This opens new unique challenges and opportunities. Ataccama has perfected massively scalable Data Quality implementations for the last decade and developed metadata-driven methodologies to address the challenges emerging from ever-changing and growing data […]
How to Become a Data Scientist
Becoming a data scientist does not necessarily require a master’s degree. There is a significant shortage of data scientists, and some employers are comfortable hiring people who lack a degree, but have the experience needed. The majority of employed data scientists have a master’s degree, but over 25% do not. If you have the experience, […]
What Is Data Literacy?
Data literacy describes the ability to read, work with, analyze, and argue with data, according to Raul Bhargava and Catherine D’ignazio from MIT and Emerson College. Easy access to data sets is essential to exercise these skills. All employees in an organization involved with data-driven decisions should learn to think critically about the data they […]
The Semantic Layer Goes Mainstream
The semantic layer concept within the data stack is not new but is an increasingly popular topic of conversation. I predict that in 2022, we’ll see mainstream awareness of the semantic layer, especially as enterprises begin to see real-world examples of its benefits. The fact that industry leaders are discussing the need for a semantic […]
How Analytics Shapes Our Music Tastes in the Era of Digital Streaming
Next in our blog series exploring interesting analytics use cases, we examine how machine learning algorithms dictate the music we listen to every day. In 2019, the music streaming market was valued at $12,831.2 million – a figure that’s expected to nearly double by 2027. Music streaming has become the most popular medium for music consumption, significantly outperforming […]
ADV Slides: New Analytic Uses of Master Data Management in the Enterprise
New Analytic Uses of Master Data Management in the Enterprise from DATAVERSITY To view the on-demand recording from this presentation, click HERE>> About the Webinar Companies all over the world are going through digital transformation now, which in many cases is all about maturing the data environment and the use of data. Master data is key […]