Build world-class enterprise Business Intelligence solutions with MicroStrategy 10
Key Feature
In Details
Metabase is an open-source business intelligence (BI) tool that helps you use data to answer questions about your business. This book will give you a detailed introduction if you're looking to use Metabase in your organization to get the most value from your data.
You'll start by installing and setting up Metabase. Next, the book shows you how to create different visualizations, charts, and dashboards to gain insights from your data with the help of examples. As you progress, you'll understand how to share the results with peers in your organization. Later, you'll be able to handle the administration aspect of Metabase by learning how to configure and deploy Metabase, manage accounts, and execute administrative tasks such as adding users and creating permissions and metadata. In addition to this, you'll cover production-related aspects such as embedding Metabase, auditing performance, white-labeling, and data sandboxing, before exploring how to deploy and host your own instance of Metabase that the rest of your organization can use. Throughout the book, you'll explore the entire data analytics journey - from connecting your data sources, visualizing data, and creating dashboards through to daily reporting.
By the end of this book, you'll be able to implement Metabase as an integral tool in your organization.
What you will learn
Dmitry Anoshin is a data-centric technologist and a recognized expert in building and implementing business/digital analytics solutions. He has a successful track record when it comes to implementing business and digital intelligence projects in numerous industries, including retail, finance, marketing, and e-commerce. Dmitry possesses in-depth knowledge of digital/Business Intelligence, ETL, data warehousing, and big data technologies. He has extensive experience in the data integration process and is proficient at using various data warehousing methodologies. Dmitry constantly exceeds project expectations when he works for financial, machine tool, and retail industries. He has completed a number of multinational full BI/DI solution life cycle implementation projects. With expertise in data modeling, Dmitry also has a background and business experience in multiple relation databases, OLAP systems, and NoSQL databases. He has a technical blog at http://techbusinessintelligence.blogspot.ru/ and publishes his presentations at http://www.slideshare.net/dimoobraznii. In addition, he has written books for Packt Publishing, SAP Lumira Essentials and Learning Hunk. In addition, he reviewed the following books for Packt Publishing: SAP BusinessObjects Reporting Cookbook, Creating Universes with SAP BusinessObjects, and Learning SAP BusinessObjects Dashboards.
Himani Rana is a senior data scientist and has been working as database developer and MicroStrategy specialist for multinational companies since 2007. She is currently pursuing her PhD in data mining and big data. She completed her master's in data mining and vehicular ad hoc networks. She has to her credit the following publication: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6557928. Himani possesses in-depth knowledge of Business Intelligence and big data technologies. She specializes in insurance and financial data analysis because of her Chartered Insurance Professional (CIP) designation. In addition, she was a committee member and reviewer of Information Systems, Technology and Management (http://www.springer.com/gp/book/9783642291654) and 2011 Third International Conference on Advanced Computing (ICoAC) (http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6156880).
Ning Ma is an experienced data analyst working in an insurance company. He is experienced with statistical modeling, creating executive dashboards, fraud detection, text mining and teaching. He is also knowledgeable about implementing predictive analysis in MicroStrategy. He enjoys helping business users discovering knowledge from data, by visualizing data patterns and testing hypotheses. He is passionate about producing easy-to-use data products to support business decision making. Prior to his current position, he worked in China doing IT and investment jobs. He did his computer science and economics undergraduate studies in Beijing, economics and finance graduate studies in Canada, and did research on quantitative finance in Canada. In his free time, he loves reading, electronic arts, and all kinds of outdoor activities.
