Today, more organisations are moving to a modern business intelligence model, characterised by aself-service approach to data. IT manages the data (security, accuracy and access), allowing users to interact with their data directly. Modern analytics platforms like Tableau help organisations address eve...
Say hello to Ask Data & Explain Data - respectively an entirely new natural language capability & an AI-powered feature that open up data analysis across your organization. Watch this video for a deep dive webinar on Tableau’s new features that allow you to get answers faster and make ...
Big data analytics is the process of analyzing vast volume of data to extract valuable insights. Manage your data with high-performance and cost-effective Big data management solutions from Lenovo.
These include Domo, Kilpfolio, Looker, Microsoft Power BI, Qlik Sense, Tableau and Zoho Analytics. While Microsoft Excel continues to be a popular tool for data visualization, other tools have been created to provide users with more sophisticated and far-reaching capabilities. Data visualization is...
In this guide, we’ll tell you everything you need to know about data visualization (also known as data viz). We’ll explain what it is, why it matters, some of the most common types, as well as the tools you can use to create them. This guide is ideal for anyone who wants to...
(DWH) and Tableau (reporting), each has its own metadata labeling system managed by different teams. Trying to figure out where a specific data element in a Tableau report came from can be impossible, and if not completely impossible, you can bet it will take data analysts a really LONG ...
provide additional layers of meaning and insights. This, in fact, is the primary product of data exploration: to discover value in data that wasn't apparent before. These insights can lead to using the data to explain past events, facilitate predictive modeling and select the best courses of ...
Explain how the results can be used to solve business problems. Collaborate with other data science team members, such as data and business analysts, IT architects, data engineers, and application developers. These skills are in high demand, and as a result, many individuals that are breaking ...
driven,data analysts must not only master diverse analytical methods but also familiarize themselves with mainstream data analysis tools andreporting tools software.While basic analysis can be executed using Excel, advanced analysis demands proficiency in specialized software likeFineReport,Tableau, andFin...
Data Storage:Amazon Redshift,Google BigQuery, andSnowflakeare data warehouses designed for storing data. Data Transformation: dbt, or Data Build Tool, which cleans, structures, and optimizes data for analysis. Data Visualization and Analytics: Looker, Tableau, Power BI, etc., allows anyone from...