As digital technologies spread their roots in the business world, organizations have access to more data than ever. This data becomes an essential organizational asset when utilized for enriching business strategies. But the process of turning data into insights is as important as the data itself. Hence, more and more organizations across sectors are deploying advanced analytics to grow […]
Data Literacy Essentials: What You Need to Know
An international survey by technology company Accenture in 2020 found that 75% of C-suite executives believe that all or most of their employees are proficient at working with data. However, only 50% of middle managers felt the same way. And what about the employees themselves? Only 25% felt that they were fully prepared to use data effectively, […]
Training a Machine Learning Model to Building a Predictive Web Application in Three Easy Steps
Do you remember when we took you through the nine circles of hell with parameter optimization and a cup of tea? We introduced a parameter optimization workflow that uses four different machine learning models, individually optimizes the hyperparameters, and picks the best combination of machine learning method and hyperparameters for the user. However, the usual data scientist journey […]
Evaluating Enterprise Data Literacy
Any organization that aims toward complete digital transformation must move toward Enterprise Data Literacy. So, what exactly is Data Literacy? Gartner defines Data Literacy as: “The ability to read, write and communicate data in context, including an understanding of data sources and constructs, analytical methods and techniques applied – and the ability to describe the […]
Why Data Storytelling Matters to Data Scientists
In an increasingly data-driven world, companies worldwide have transformed the way they operate. Much of this is thanks to their ability to access a volume of data that was not available in the past. However, more recently, organizations have realized that simply collecting data is not enough, with many struggling to master the language of data. […]
How to Become a DataOps Engineer
DataOps engineers are responsible for designing the data assembly line that allows data engineers and data scientists to gain insight from their analytics and research. DataOps engineers use processes and technologies to improve the speed and quality of projects being worked on. The DataOps philosophy can transform data teams, resulting in smaller development times, improved […]
Integrated Deployment – Deploying an AutoML Application with Guided Analytics
Welcome to our collection of articles on the topic of integrated deployment, where we focus on solving the challenges around productionizing Data Science. So far, in this collection we have introduced the topic of integrated deployment, discussed the topics of continuous deployment and automated machine learning, and presented the autoML verified component. In today’s article, we would like to […]
Data Management vs. Data Science
The shift in the business perception of data has now catapulted Data Management into new heights. Data Science is a core component of Data Management now, but Data Management and Data Science are often seen as two different activities. Working among data analysts, data engineers, and DBAs, data scientists spend their time getting the data […]
Data Scientist vs. Data Engineer
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 […]
Data Literacy Trends in 2022
Investing in leadership skills as well as data skills allows organizations can ensure that they can have decisive marketplace and intra-organizational impacts. The Chief Data Officer (CDO) role is only a few years old, and many organizations still don’t have a CDO. Data Literacy is an essential component to all of this. In a recent […]