Click to learn more about author Hardik Oza. The Software-as-a-Service (SaaS) market is becoming more and more competitive with every passing day. The SaaS marketer must continuously adapt to market changes and correct the course as needed to stay relevant. A data-driven marketing approach can help in doing just that! Here are six metrics that […]
Why Build a Hybrid Data Lake for Analytics and AI
Click to learn more about author Haoyuan Li. The present global crisis has bolstered cries for cost-cutting across organizations. Data lakes spanning from on-premises environments to a public cloud platform have continued to evolve, frequently striving to keep the infrastructure and operational costs low while providing business agility. At many large organizations, traditional data lakes […]
Governed Self-Service Analytics, People, and Processes
Click to learn more about author Aditi Raiter. Self-service BI is lucrative but demands an eye on governance and security. In this article, I will stress the behaviors and strategies needed around managing self-serve BI/reporting tools. Self-service analytics rotates around business users having access to data preparation and dashboard building tools. There are many challenges […]
What Is Augmented Analytics?
Augmented analytics combines sophisticated machine learning (ML) and natural language processing (NLP) to enable users to extract intelligence more quickly and simply. In addition, this kind of automation guides the user toward new insights, through built-in trend pattern recognition and pattern recognition tools. Augmented analytics share the following characteristics: Smart data discovery tools assisting business […]
Unify Data Governance with Data Architecture
Think of an organization trying to create a single understanding of the information of the organization and the instances of that data around its estate. Consider different groups of people contributing to and using this model from different perspectives and varying reasons. And view this in the context of Data Governance, Data Architecture or Business […]
Rebound from Recession with the Power of an AI Strategy
Click here to learn more about Dr. Tommy Weir. Among the many tough questions that this latest — and potentially greatest — recession is throwing at businesses, is what their AI strategy should look like, both in order to navigate the downturn and to bounce back when it’s all over. Needless to say, there is […]
Guided Labeling Episode 4: From Exploration to Exploitation
Click to learn more about author Paolo Tamagnini. One of the key challenges in using supervised machine learning for real world use cases is that most algorithms and models require a sample of data that is large enough to represent the actual reality your model needs to learn. These data need to be labeled. These […]
What is the KMeans Clustering Algorithm and How is it Used to Analyze Data?
Click to learn more about author Kartik Patel. This article provides a brief explanation of the KMeans Clustering algorithm. What is the KMeans Clustering algorithm? The KMeans Clustering algorithm is a process by which objects are classified into number of groups so that they are as much dissimilar as possible from one group to another, and […]
Mise en Place for Data Science
Click to learn more about author Curt Bergmann. When guests arrive at a great restaurant, the chef and all the cooks have already planned and assembled everything they need to quickly deliver excellence on a plate. Their process, called mise en place, is used by chefs all over the world. Emerging after the introduction of […]
What Is a Data Analyst?
Data analysts help businesses make better, more informed decisions by not only collecting and investigating data, but also translating the relevant information into useful observations for their customers, which can include technical staff, business teams, or leadership. In many organizations, data analyst and data scientist roles share similarities, but data analysts focus on speedily interpreting […]