Research has shown that many people learn best when they see a story or information depicted in an image. Graphs, charts with colors, lines and shapes can often tell a story and communicate issues, challenges and opportunities in a business environment. According to Forbes, “Almost eighty-thousand scientific studies attest that visual images promote retention.” Let’s…
Every business (large or small) creates and depends upon data. One hundred years ago, businesses looked to leaders and experts to strategize and to create operational goals. Decisions were based on opinion, guesswork, and a complicated mixture of notes and records reflecting historical results that may or may not be relevant to the future. Today,…
The process of predictive analytics has three main steps: defining the objectives, collecting relevant data, and developing a predictive model using sophisticated algorithms. These models are further tuned for greater accuracy before being applied to real-world situations like risk analysis or fraud detection. Predictive analytics techniques are at the forefront of modern data science, enabling organizations to…
Digital-first businesses are managing an overwhelming amount of data, and many are struggling to make sense of it all and turn it into meaningful and actionable insights. Customers want fast and more personalized experiences at their fingertips, and real-time analytics is a key tool that companies can use to deliver tailored and responsive user experiences…
Understanding the importance of data culture requires recognizing its pivotal role in shaping how organizations operate and innovate. A strong data culture instills a mindset where decisions are driven by data, fostering an environment that values evidence over intuition. This cultural shift enables organizations to harness the full potential of their data assets, leading to…
The latest installment in our Q&A series with women leaders in data features Rosaria Silipo, head of data science evangelism at KNIME. (Read our previous Q&A here.) Rosaria Silipo, Ph.D., has worked in data analytics and data science for the past 30-plus years. Currently the head of data science evangelism at KNIME (as well as a longtime DATAVERSITY…
Companies that are data-driven demonstrate improved business performance. McKinsey says that data and analytics can provide EBITDA (earnings before interest, taxes, depreciation, and amortization) increases of up to 25% [1]. According to MIT, digitally mature firms are 26% more profitable than their peers [2]. Forrester research found that organizations using data are three times more…
Self-service analytics empowers the non-technical users in an organization. Traditionally, data analysis was the domain of specialized data scientists or IT professionals with skills to manipulate and interpret complex datasets. In self-service analytics, user-friendly tools enable ordinary business users to conduct data analyses without expert knowledge or support. These tools typically feature user-friendly interfaces, drag-and-drop functionalities, and pre-built templates…
Zenlytic, a fast-emerging self-service business intelligence (BI) platform, has announced the successful closure of a $9 million early-stage funding round. Funds from this Series A round will be used to fuel its ambitions of bringing artificial intelligence-powered BI to every office worker. This investment will support the company’s growth by enhancing its platform capabilities and…
Zenlytic, a fast-emerging self-service business intelligence (BI) platform, has announced the successful closure of a $9 million early-stage funding round. Funds from this Series A round will be used to fuel its ambitions of bringing artificial intelligence-powered BI to every office worker. This investment will support the company’s growth by enhancing its platform capabilities and…
